Method and system for displaying medical data

Abstract

The present invention provides a method and system for displaying medical data. First-category medical data and second-category medical data of a patient are acquired, and on the basis of the medical data, summary information of one or more physiological structures of the patient is obtained. Then, the summary information of the one or more physiological structures is correspondingly displayed in one or more display areas of a display interface. The summary information of the physiological structure comprises three summaries: a summary of the overall state of the physiological structure, a summary of a treatment measure based on the details thereof, and a summary of condition based on the details of physiological data and / or changes therein; and further comprises: the details of the treatment measure related to the physiological structure, and the details of physiological data and / or changes therein related to the physiological structure. A physician can basically grasp the condition of the patient by reviewing the three summaries, which is highly convenient. In addition, the accuracy of two summaries can be verified by means of the details of the treatment measure and the details of physiological data and / or changes therein, improving the reliability of the three summaries.

Description

Method and system for displaying medical data TECHNICAL FIELD

[0001] The present application relates to the medical field, and in particular to a method and system for displaying medical data. BACKGROUND

[0002] With the development of clinical monitoring technology and the improvement of diagnosis and treatment methods in the medical field, there are more and more data reflecting the state and symptoms of patients in the clinic. However, the increasing rich clinical data also brings new challenges to medical personnel: medical personnel need to search and aggregate data from different devices and systems to completely evaluate the patient's condition (such as integrating the results of monitors, ventilators, biochemical test systems, and hospital imaging results…); find key data useful for clinical analysis and treatment from massive data (such as finding abnormal data from the patient's past 24 hours of monitoring data, and finding key indicators reflecting the patient's condition changes in the past week…). Whether it is to aggregate a large amount of clinical data from multiple channels or to search for clinical diagnosis and treatment clues from massive data, it consumes a lot of time and energy of clinical medical personnel, and reduces the diagnosis and treatment efficiency. Some existing clinical information systems basically only list monitoring data by system, which does not conform to the best observation habits of doctors and is not conducive to the convenient observation of doctors.

[0003] In order to make doctors obtain the patient's condition more quickly, some existing technologies summarize the physiological system or organ, such as the patent document with publication number CN 117594180 A which discloses a scheme of processing the medical data of a patient to obtain summary information. The summary information can include the deterioration state of an organ or physiological system, and an explanatory statement of the obtained deterioration state, etc., and can also include prompt information for medical personnel. This summary information is more like an upgraded alarm, which only changes the previous alarm severity level to the deterioration state of the organ and system, and then gives an explanatory statement. The explanatory statement is usually an abnormal physiological parameter, etc. Medical personnel need to analyze the patient's condition by comprehensively considering various factors, while the explanatory statement can only explain the deterioration state from one dimension (usually the physiological dimension), which is relatively one-sided.

[0004] The summary information mentioned in the patent document can also include a physiological cause representing the physiological state of the patient, thereby providing the user with a deeper explanatory description of the patient's state. The physiological cause is a physiological cause of the current patient state determined based on biomedical principles, clinical experience, etc., and can be a certain disease or injury (i.e., etiology). The physiological cause can also be another aspect of the patient's state, for example, a physiological cause related to the patient's state of a physiological system can be the state of a certain tissue or organ in the physiological system, for example, the deterioration of the state of a certain tissue or organ leads to the deterioration of the entire system; or the physiological cause can be the state of another physiological system, for example, the deterioration of the state of one physiological system leads to the deterioration of the state of another physiological system. In summary, the physiological cause and the patient's physiological state have a causal relationship. As can be seen, this summary information of the patient's physiological state + physiological cause is to use the relationship between the local (such as an organ) and the whole (such as a system, a patient) to explain the state of the whole through the local abnormality; or use the relationship between the local (such as a physiological system) and the local (such as another physiological system) to explain the state of another local through a local abnormality. This way is also to give the patient's state and cause through the physiological dimension, which is relatively one-sided.

[0005] The summary information mentioned in the patent document can also include the current problems of the physiological system (transient hypoxemia, intermittent compliance reduction), suggestions (please consider adjusting the ventilation support mode or parameters) provided to the user, and possible risks (there is a risk of pressure injury). The current problems of the physiological system are usually described in words as important physiological parameters exceeding the standard or their trend being not good. This summary is relatively one-sided or obtained only from the perspective of physiological parameters, and is not comprehensive enough. The support for this summary is only physiological parameters. As for giving suggestions and risk tips, it belongs to future prediction and does not belong to the summary of the current patient's condition.

[0006] As can be seen, the prior art provides summary information based on a large amount of medical data, which can improve the efficiency of medical staff understanding the patient's condition. The summary information includes the state of the patient or system and the explanation of the state, and the state and the explanation of the state are only based on the physiological dimension to produce correlation, which is relatively one-sided. The medical staff will make certain recognition based on the explanation, but due to only one dimension, the recognition degree (credibility) will not be particularly high, and the medical staff still needs to think before deciding whether to accept the patient state given by the machine.

[0007] Therefore, the efficiency of doctors understanding the patient's condition through medical data needs to be improved.

[0008] SUMMARY

[0009] The present application mainly provides a method and system for displaying medical data, which aims to facilitate doctors to quickly understand the patient's condition.

[0010] An embodiment provides a method for displaying medical data, comprising:

[0011] obtaining first medical data of a patient from a first medical data source device, and obtaining second medical data of the patient from a second medical data source device, wherein the first medical data source device comprises at least one of a monitoring device, a treatment device, an imaging device, and an in-vitro diagnosis device, the second medical data source device comprises a treatment device, the first medical data reflects a physiological condition of the patient, and the second medical data reflects a treatment measure received by the patient;

[0012] obtaining summary information of one or more physiological structures of the patient based on the first medical data and the second medical data of the patient, wherein the physiological structures comprise physiological systems or organs of the patient;

[0013] displaying the summary information of the one or more physiological structures in one or more display areas of a display interface;

[0014] the summary information of the physiological structures comprises a general condition conclusion of the physiological structures, details of a treatment measure related to the physiological structures, and details of physiological data and / or changes thereof related to the physiological structures, the details of the treatment measure are obtained based on the second medical data, and the details of the physiological data and / or changes thereof are obtained based on the first medical data;

[0015] the general condition conclusion comprises a summary of a state of the physiological structures, a summary of the treatment measure based on the details of the treatment measure, and a summary of a disease condition based on the details of the physiological data and / or changes thereof.

[0016] An embodiment provides a method for displaying medical data, comprising:

[0017] obtaining first medical data of a patient and third medical data of the patient, wherein the first medical data reflects a physiological condition of the patient, and the third medical data reflects a medical operation received by the patient;

[0018] obtaining summary information of one or more physiological structures of the patient based on the first medical data and the third medical data of the patient, wherein the physiological structures comprise physiological systems or organs of the patient;

[0019] displaying the summary information of the one or more physiological structures in one or more display areas of a display interface;

[0020] The summary information of the physiological structure includes: a general situation conclusion of the physiological structure, details of medical operations related to the physiological structure, and physiological data related to the physiological structure and / or details of changes thereof, the details of the medical operations being obtained based on the third medical data, and the physiological data and / or details of changes thereof being obtained based on the first medical data;

[0021] The general situation conclusion includes: a summary of the physiological structure state, a summary of medical operations based on the details of the medical operations, and a summary of the illness based on the physiological data and / or details of changes thereof.

[0022] An embodiment provides a method for displaying medical data, comprising:

[0023] Obtaining first medical data and third medical data of a patient, the first medical data reflecting physiological conditions of the patient, and the third medical data reflecting medical operations received by the patient;

[0024] Based on the first medical data and the third medical data of the patient, obtaining summary information of one or more physiological structures of the patient, the physiological structure including a physiological system or an organ of the patient; the summary information of the physiological structure including: a summary of the physiological structure state, a summary of medical operations based on details of the medical operations, and a summary of the illness based on physiological data and / or details of changes thereof; the details of the medical operations being obtained based on the third medical data, and the physiological data and / or details of changes thereof being obtained based on the first medical data; the summary of the medical operations and the summary of the illness being used to support the summary of the physiological structure state from two different clinical dimensions;

[0025] Displaying the summary information of one or more physiological structures on a display interface.

[0026] An embodiment provides a system for displaying medical data, comprising:

[0027] A display;

[0028] One or more communication interfaces for communicating with one or more medical data source devices;

[0029] A memory for storing a program;

[0030] A processor for executing the program to implement the method as described above.

[0031] An embodiment provides a computer readable storage medium, the medium storing a program, the program being executable by a processor to implement the method as described above.

[0032] According to the method and system for displaying medical data provided by the embodiment, the first type of medical data reflecting the physiological condition of the patient and the second type of medical data reflecting the treatment measures received by the patient are acquired. Based on the first type of medical data of the patient and the second type of medical data, the summary information of one or more physiological structures of the patient is obtained. Then the summary information of the one or more physiological structures is displayed in one or more display areas of the display interface; the summary information of the physiological structure includes three summaries: the summary of the overall state of the physiological structure, the summary of the treatment measures based on the details of the treatment measures, and the summary of the illness based on the physiological data and / or the details of the changes thereof; and the details of the treatment measures related to the physiological structure and the physiological data and / or the details of the changes thereof related to the physiological structure are also included. The doctor can basically understand the illness of the patient by seeing the three summaries, which is very convenient, and the correctness of the two summaries can be verified by the details of the treatment measures and the physiological data and / or the details of the changes thereof, so that the credibility of the three summaries is improved. BRIEF DESCRIPTION OF DRAWINGS

[0033] Fig. 1 is a structural block diagram of an embodiment of the system for displaying medical data provided by the present application;

[0034] Fig. 2 is a flow chart of an embodiment of the method for displaying medical data provided by the present application;

[0035] Fig. 3 is the content architecture of the summary information of the physiological structure provided by the present application;

[0036] Fig. 4 is a schematic diagram of the physiological structure pyramid of the human body;

[0037] Fig. 5 is a schematic diagram of the display area of the nervous system in the review interface;

[0038] Fig. 6 is a schematic diagram of the display area of the circulatory system in the review interface;

[0039] Fig. 7 is a schematic diagram of the display area of the respiratory system in the review interface;

[0040] Fig. 8 is a schematic diagram of the display area of the liver and kidney function in the review interface;

[0041] Fig. 9 is a schematic diagram of the display area of the gastrointestinal tract and nutrition in the review interface;

[0042] Fig. 10 is a schematic diagram of the display area of the coagulation in the review interface;

[0043] Fig. 11 is a schematic diagram of the display area of the infection and immunity in the review interface;

[0044] Fig. 12 is a schematic diagram of the review interface;

[0045] Fig. 13 is a flow chart of another embodiment of the method for displaying medical data provided by the present application;

[0046] FIG. 14 is a flowchart of another embodiment of a method for displaying medical data according to the present application. DETAILED DESCRIPTION

[0047] The application will be further described below in connection with specific embodiments with reference to the attached drawings. Like numbers in different figures refer to elements with the same function. In the following description, numerous specific details are described to provide a thorough understanding of the application. However, it will be apparent to one skilled in the art that the application can be practiced without these specific details. In other instances, well-known methods have not been described in detail in order not to unnecessarily obscure the application. Embodiments of the application are described herein with reference to the accompanying figures.

[0048] In addition, features, operations or functions described in the specification can be combined in any suitable manner in various embodiments. Also, various steps or acts in a method described in the specification can be performed in any suitable order or sequence, unless otherwise specified in the specification. Thus, the various sequences and / or orderings of operations should be understood as merely providing an example of an implementation, and should not be construed as a requirement or limitation that the operations be performed in these particular sequences and / or orderings, unless such sequences or orderings are required. The descriptions and illustrations herein are by way of example and experimentation and applications of the application only. Various changes to the application can be made without departing from the spirit or scope of the application.

[0049] The serial numbers of components in this paper, such as "first", "second", etc., are only used to distinguish the described objects, and have no any sequence or technical meaning. The "connection" and "coupling" in this paper include direct and indirect connection (coupling) unless otherwise specified.

[0050] As can be known from the foregoing background, some existing clinical information systems basically only list monitoring data according to different organs, which does not conform to the best observation habits of doctors and is not conducive to the convenient observation of doctors. The present application analyzes data by the system, automatically integrates and refines key data information required by clinical medical staff, and presents the key data information to users through a structured layout and a visual expression mode, reduces the time of users searching for key data, and releases more energy for data analysis and interpretation and other clinical treatment activities, so as to better focus on patients and improve the diagnosis and treatment efficiency.

[0051] As shown in FIG. 1, the system for displaying medical data according to the present application comprises a display 60, one or more communication modules 70, a memory 40 and a processor 50.

[0052] The communication module 70 is configured to communicate with external devices to obtain medical data of the patient, for example, to communicate with one or more medical data source devices 10. For example, the communication module 70 employs a communication interface that can be wiredly connected with one or more medical data source devices 10 to obtain medical data in the medical data source devices 10. For another example, the communication module 70 employs a wireless communication module that can be wirelessly connected with one or more medical data source devices 10 to obtain medical data in the medical data source devices 10.

[0053] The memory 40 is configured to store programs.

[0054] The processor 50 is configured to execute the programs in the memory 40 to realize the display of medical data, for example, the processor 50 obtains first type medical data and third type medical data of the patient, obtains summary information of one or more physiological structures of the patient based on the first type medical data and the third type medical data of the patient, and then displays the summary information of the one or more physiological structures in one or more display areas of a display interface of the display 60. The specific process can be shown in FIG. 2, including the following steps:

[0055] Step 1, obtaining first type medical data and third type medical data of the patient, for example, the processor 50 obtains the first type medical data and the third type medical data of the patient through the communication module 70. The first type medical data reflects the physiological condition of the patient, and the third type medical data reflects the medical operation received by the patient. The execution subject of the present scheme can be various hospital systems including clinical information systems. The system can be directly connected with the data source through point-to-point communication mode, or indirectly connected with the data source through gateway, other information system servers, and other intermediate devices and storage devices.

[0056] The medical operations can include at least one of a treatment measure, a diagnosis measure, and a nursing operation. The treatment measure can be, for example, a measure for providing life support to the patient, such as non-invasive ventilation, invasive ventilation, drug administration, CRRT treatment, and the like. The diagnosis measure can be, for example, a measure for updating an image report, a measure for performing more detailed examination, a measure for invasive monitoring, a measure for monitoring frequency, a measure for examination frequency, and the like. The nursing operation can be, for example, a measure for draining fluid, a measure for catheterization, and the like. It can be seen that the third type of medical data does not describe a specific physiological parameter, but only describes what kind of medical operation the patient receives. In some embodiments, the processor 50 can obtain the first type of medical data of the patient from the first type of medical data source device directly through the communication module 70, or indirectly, such as from various systems of the hospital, even manually inputting the medical data displayed by the first type of medical data source device according to the medical staff, and the like, as long as the first type of medical data is generated by the first type of medical data source device (the ultimate source). The specific way in which the processor 50 obtains these data is not limited. Similarly, the processor 50 can obtain the third type of medical data of the patient from the third type of medical data source device directly through the communication module 70, or indirectly, such as from various systems of the hospital, even manually inputting the medical data displayed by the third type of medical data source device according to the medical staff, and the like, as long as the third type of medical data is generated by the third type of medical data source device (the ultimate source). The specific way in which the processor 50 obtains these data is not limited. The first type of medical data source device can include at least one of a monitoring device, a treatment device, an imaging device, and an in-vitro diagnosis device. The monitoring device can be, for example, a bedside monitor, a monitoring central station, and the like, and the medical data thereof can include monitoring data. The treatment device can be, for example, a ventilator, an anesthesia machine, an infusion pump, an extracorporeal circulation device, and the like, and the medical data thereof can include treatment data. The imaging device can be, for example, an ultrasonic imaging device, an X-ray photography system, a nuclear magnetic resonance device, an endoscope device, and the like, and the medical data thereof can include image data. The in-vitro diagnosis device can be, for example, a biochemical analyzer, an immune analyzer, a urine and other sample analysis device, and the like, and the medical data thereof can include detection data. The first type of medical data can include physiological data collected by the first type of medical data source device, such as physiological parameters (e.g., temperature, blood oxygen saturation, heart rate, and the like), trends of changes thereof, medical scores, and the like. The treatment data can include physiological parameters, trends of changes thereof, device parameters, and the like. The image data can include various medical images, measurement values based on medical images, and the like. The detection data can include various examination indexes (e.g., indexes of blood routine, liver and kidney functions, and the like), and the like. The third type of medical data source device can include a treatment device and / or a third-party system, and the like.The medical data in the treatment device can reflect the treatment measures received by the patient, and the third-party system can include an electronic medical record system (EMR), a hospital information system (HIS), and a hospital enterprise resource planning system (HERP), a central station, or a body external diagnosis information system, etc. The medical data in the electronic medical record system can reflect the diagnosis measures and nursing operations received by the patient. The third type of medical data can include device parameters (such as drug dose, driving pressure, tidal volume, inspiration-expiration ratio, PEEP, etc.) collected by the treatment device, diagnosis measure records and nursing operation records collected by the third-party system, etc. The device parameters of various treatment devices can reflect the treatment measures. In addition, the data source in the embodiment can not be a direct data source, but also an indirect data source transferred by other devices.

[0057] Since the subsequent physiological structure summary information needs to be given based on the first type and the third type of medical data, which belongs to the summary of the patient's physiological structure in the past period of time, in the embodiment, the processor 50 acquires the first type of medical data of the patient in a preset time period; and acquires the third type of medical data of the patient in the preset time period. The preset time period can be set according to needs, for example, it can be 24h.

[0058] Step 2, the processor 50 obtains the summary information of one or more physiological structures of the patient based on the first type of medical data and the third type of medical data of the patient. The physiological structure includes at least one of the physiological system or organ of the patient. The physiological system can include at least one of the movement system, the nervous system, the endocrine system, the circulatory system, the respiratory system, the digestive system, the urinary system, and the reproductive system. The organ can include at least one of the brain, the heart, the lung, the liver, the stomach, and the kidney. In some embodiments, the physiological structure can include other than the physiological system and / or organ described above, for example, the physiological structure includes one or more of the physiological system, the physiological organ, the physiological part, the tissue, the feature of the physiological system, and the feature of the physiological organ of the patient. The physiological part can include at least one of the head, the chest, and the abdomen. The tissue can include at least one of the muscle tissue, the nerve tissue, and the epithelial tissue. The feature of the physiological system or the feature of the physiological organ can include at least one of the intake and output, the blood clotting, the nutrition, the infection, the blood sugar, and the medical event. In the embodiment, the summary information of several physiological structures can be obtained according to the first type and the third type of medical data.

[0059] To let the doctor can quickly understand the patient condition, the specific content of the physiological structure summary information is particularly important, not only can comprehensive, comprehensive summary of the patient situation, but also need to give the reason that can support these generalizations, let the medical care can recognize the summary conclusion given by the machine. And the physiological structure summary information of the present application is more comprehensive than the prior art, and no matter what physiological structure can follow the paradigm of the summary information, so that the patient's physiological structure is clear at a glance. The following two kinds of summary information are described by example.

[0060] The summary information of the physiological structure includes three summaries: a summary of the state of the physiological structure, a summary of the medical operation based on details of the medical operation, and a summary of the illness based on physiological data and / or details of changes thereof. The details of the medical operation are obtained based on the third type of medical data, i.e., the processor 50 can process the third type of medical data to obtain the details of the medical operation, so as to summarize the medical operation based on the details of the medical operation, which is equivalent to a conclusion reflecting the overall situation of the medical operation in a preset time period. Specifically, in the embodiment, the details of the medical operation are specifically the change details of the medical operation, and the summary is equivalent to a conclusion reflecting the change situation of the medical operation in a preset time period. The physiological data and / or the change details thereof are obtained based on the first type of medical data, i.e., the processor 50 can process the first type of medical data to obtain the physiological data and / or the change details thereof, so as to summarize the illness based on the physiological data and / or the change details thereof, which is equivalent to a conclusion reflecting the change situation of the illness of the physiological structure in a preset time period. The summary of the medical operation and the summary of the illness are used to support the summary of the state of the physiological structure from two different clinical dimensions, i.e., an experienced doctor can draw the summary of the state of the physiological structure by seeing the summary of the medical operation and the summary of the illness, and the present application is automatically realized by the system. That is, the three summaries are related, and the changes of the medical operation and the illness can reflect the state of the physiological structure. For example, if a patient changes from non-invasive ventilation to invasive ventilation, it means that the state of the respiratory system is worse, and the blood oxygen saturation is too low and / or decreases, which also means that the state of the respiratory system is worse. For example, an increase in the frequency of monitoring a physiological parameter may also represent that the bedside medical staff considers that the state of a certain physiological system of the patient is deteriorating. In the prior art, the physiological parameter or the illness summary reflects the improvement of the patient's illness, and the physiological structure state obtained by the prior art is stable, however, such a conclusion is one-sided. For example, the improvement of the illness is realized under the condition of increasing the treatment measures, and actually the physiological structure state is not stable. For example, if the patient changes from non-invasive ventilation to invasive ventilation, and the blood oxygen saturation increases, if only the physiological parameter is considered as in the prior art, it may be concluded that the state is stable or improved, but actually the patient's state is not good with invasive ventilation. It can be seen that the present application can support and verify the summary of the state of the physiological structure from two dimensions of diagnosis and treatment intervention and illness change, and the information is more comprehensive and reliable. The summary of the state of the physiological structure is equivalent to a summary of the physiological structure in one sentence, and the summary of the medical operation and the summary of the illness not only more specifically summarize the physiological structure in the two clinical dimensions of medical intervention and illness, but also support and verify the summary of the state of the physiological structure, so that the doctor will not doubt the correctness of the summary of the state of the physiological structure.As mentioned above, the summary of the prior art is generally only from the dimension of the illness, even if the state summary is mentioned, the existing state summary is essentially an illness summary because it only considers the illness (based on physiological parameters). The three summaries of the summary information of the present application, one is a summary overview of the state of the physiological structure, which briefly summarizes the condition of the physiological structure of the patient, and the other two summarize the conditions of the medical intervention and the illness, and support each other and the summary of the state of the physiological structure. Obviously, the summary of the summary information of the present application is more comprehensive and has higher reliability, and the doctor can quickly understand the patient's condition. The summary information of the physiological structure in this embodiment is a summary of the patient's physiological structure in the past period of time, so the summary information of the physiological structure also includes a preset time period, that is, information that can reflect the preset time period. In this way, the doctor can quickly grasp the comprehensive condition of the patient's physiological structure in the past preset time period.

[0061] Because most of the content of the conventional monitoring interface is the values and curves of various physiological parameters and device parameters, it is difficult for medical staff to extract key information from it. Therefore, the above three summaries in this embodiment are text information, which briefly and concisely gives a summary of the physiological structure from three angles, so that medical staff can quickly extract key information. The following are examples of physiological structure summary information.

[0062] An example of a respiratory system summary information includes: the patient's respiratory system was unstable in the past 24 hours, the intervention was upgraded, and the illness did not improve. "The patient's respiratory system was unstable in the past 24 hours" or "the patient's respiratory system was unstable" is a summary of the state of the respiratory system, "the intervention was upgraded" is a summary of the medical operation, and "the illness did not improve" is a summary of the illness. The summary of the state of the physiological structure can be in front of the other two summaries, which conforms to the reading habit of summary→part, and one sentence includes three summaries, with a very high information amount.

[0063] An example of a circulatory system summary information includes: the patient's circulatory system was unstable in the past 24 hours, the intervention was upgraded, and the illness improved.

[0064] Another example of circulatory system summary information includes: the patient's circulatory system was stable in the past 24 hours, the intervention was downgraded, and the illness improved.

[0065] Another example of respiratory system summary information includes: the respiratory system was unstable in the past 24 hours, the intervention was adjusted, and the illness improved.

[0066] The summary information of another physiological structure is more detailed, in addition to the above three summaries, it also includes other contents. Specifically, the above three summaries are referred to as the general situation conclusion of the physiological structure. In addition to the general situation conclusion of the physiological structure, the summary information of the physiological structure also includes the details of medical operations related to the physiological structure and the details of physiological data and / or changes thereof related to the physiological structure. Similarly, the general situation conclusion of the physiological structure can be text information.

[0067] The details of medical operations related to the physiological structure are obtained based on the third type of medical data, and the details of physiological data and / or changes thereof related to the physiological structure are obtained based on the first type of medical data. The details of medical operations related to the physiological structure are used to support the summary of medical operations from the clinical dimension, that is, the doctor can infer the summary of medical operations after seeing the details of medical operations related to the physiological structure, so the doctor can see the details of medical operations related to the physiological structure if he is not satisfied with the summary of medical operations, and the two are mutually verified, which improves the credibility of the summary of medical operations. In this embodiment, the details of medical operations are the change details of medical operations, so the doctor can see whether the medical operations have changed, added, reduced, strengthened, weakened, etc. in the past period of time, thereby recognizing the summary of medical operations. Similarly, the details of physiological data and / or changes thereof related to the physiological structure are used to support the summary of the disease from the clinical dimension, that is, the doctor can infer the summary of the disease after seeing the details of physiological data and / or changes thereof related to the physiological structure, so the doctor can see the details of physiological data and / or changes thereof related to the physiological structure if he is not satisfied with the summary of the disease, and the two are mutually verified, which improves the credibility of the summary of the disease. The following will also give several examples of summary information of physiological structures.

[0068] The summary information of a respiratory system is as follows:

[0069] The intervention analysis column is the details of medical operations related to the physiological structure, and the index analysis column is the details of physiological data and / or changes thereof related to the physiological structure.

[0070] Taking the above summary information as an example, the first row of information can be referred to as: summary information of a physiological structure, the second row of information can be referred to as: details of a treatment measure related to the physiological structure, and the third row of information can be referred to as: physiological data related to the physiological structure (if the third row of information contains index data of two time points, it can also be referred to as details of changes in physiological data related to the physiological structure). Among them, the first display element in the first row of information: "The patient's circulatory system has been unstable for the past 24 hours" can be referred to as a summary of the physiological structure state; the second display element in the first row of information: "Intervention escalation" can be referred to as a summary of the treatment measure; and the third display element in the first row of information: "The patient's condition has not improved" can be referred to as a summary of the condition. An example of summary information of a circulatory system is as follows:

[0071] Another example of summary information of a circulatory system is as follows:

[0072] Another example of summary information of a respiratory system is as follows:

[0073] It should be emphasized that the present embodiment summarizes a paradigm for patient state analysis and presentation, which is not simply a list of data, and each element in the paradigm has a clear internal relationship. The information analyzed and presented by the paradigm can help medical staff better judge the state of the patient's physiological structure. For details, see the following description and analysis:

[0074] Referring to FIG. 3, such summary information of a physiological structure has three levels and two clinical dimensions, the information in the lower layer not only supports the summary in the upper layer but also explains the summary in the upper layer. The three levels are progressive and support each other, which is better than the prior art with two levels and a single dimension, and the displayed information is more comprehensive, accurate and reliable. That is, the summary information of a physiological structure is generally an organic whole, and although each piece of information has different emphases, when combined, it can enable medical staff to quickly grasp the patient's condition and improve the efficiency of medical treatment.

[0075] The processor 50 obtains summary information of one or more physiological structures of the patient based on the first type of medical data and the third type of medical data of the patient. There are various ways and methods, which are illustrated as follows.

[0076] For details of medical operations related to a physiological structure and a summary of medical operations based on the details of the medical operations, two processing methods are illustrated as follows.

[0077] The first processing mode, since the summary of the medical operation can be obtained based on the details of the medical operation related to the physiological structure combined with the clinical prior knowledge, that is, the details of the medical operation related to the physiological structure are the reasons, causes and explanations of the summary of the medical operation, which can enable the doctor to understand and recognize the summary of the medical operation, and thus the details of the medical operation related to the physiological structure can be analyzed to obtain the summary of the medical operation. That is, the processor 50 analyzes the third medical data of the patient to obtain the details of the medical operation related to the physiological structure of one or more physiological structures of the patient; and then analyzes the details of the medical operation related to the physiological structure to obtain the summary of the medical operation. For example, the processor 50 analyzes the third medical data of the patient to obtain the medical operation at different times in a preset time period, such as obtaining the treatment measures at different times in the preset time period according to the device parameters of the treatment device, obtaining the diagnostic measures at different times in the preset time period according to the diagnostic measure records of the third party system, and obtaining the nursing operation at different times in the preset time period according to the nursing operation records of the third party system; determining the physiological structure corresponding to the medical operation of the patient according to the preset correspondence between the medical operation and the physiological structure (such as invasive / non-invasive ventilation corresponding to the respiratory system, a specific drug type corresponding to a specific physiological structure, etc.), that is, obtaining the medical operation of one or more physiological structures at different times; and then obtaining the details of the medical operation related to the physiological structure according to the medical operation of the physiological structure at different times. If the medical operation does not change, the details of the medical operation include the current medical operation (such as continuous invasive mechanical ventilation), and can also include the device parameters associated with the medical operation (such as PEEP = 8, FiO2 = 60%); if the medical operation changes, the details of the medical operation include the medical operation before and after the change (such as non-invasive ventilation to invasive ventilation, FiO2 from 50% to 80% under invasive ventilation, and norepinephrine dose from 1.0 to 0.4, etc.). The system is preset with a plurality of determination rules (for the convenience of distinction, such determination rules can be referred to as third rules), and is also preset with a corresponding relationship between the determination rules and the summary of the medical operation. The processor 50 judges whether the details of the medical operation related to the physiological structure satisfy the preset determination rules, takes the satisfied preset determination rules as the target determination rules, and takes the summary of the medical operation corresponding to the target determination rules as the summary of the medical operation of the physiological structure according to the corresponding relationship between the determination rules and the summary of the medical operation. The determination rules have various types, such as no change of the medical operation, from nothing to something of the medical operation, from something to nothing of the medical operation, from strong to weak of the medical operation, from weak to strong of the medical operation, etc. The summary of the medical operation is a summary of the change of the medical operation, such as no change, upgrade, downgrade, etc.The details of the medical operation related to the physiological structure are detailed records of changes in the medical operation, such as the drug dose being increased or decreased from XX to XXX, or non-invasive ventilation being changed to invasive ventilation, and at least cover a preset determination rule. In this embodiment, the details of the medical operation related to the physiological structure are more abundant than the preset determination rule, because the determination rule may only be the change of the medical operation, and the change details give the specific medical operation.

[0078] The summary of the physiological structure and the medical operation obtained can be one of the following six summaries of the medical operation: no medical operation, no change in the medical operation, adjustment of the medical operation, upgrade of the medical operation, downgrade of the medical operation, and omission of the medical operation. Among them, the determination rule corresponding to no medical operation includes no medical operation in the details of the medical operation. The determination rule corresponding to no change in the medical operation includes no change in the medical operation in the details of the medical operation (for example, the patient is continuously mechanically ventilated, PEEP=8, FiO2=60% in a preset time period). The determination rule corresponding to the adjustment of the medical operation includes the change of the medical operation in the change details, but it cannot be judged whether it is upgraded or downgraded (that is, it cannot be judged whether the strength of the medical operation before and after the change). The adjustment of the medical operation is mainly that some medical operations only have some simple adjustments, and it cannot be judged whether it is upgraded or downgraded. For example, a blood active drug is used, and in some cases, it is adjusted according to the change of the disease to adapt to the characteristics of the patient, and it is not upgraded or downgraded, so the doctor is prompted that the treatment measure is adjusted. The determination rule corresponding to the upgrade of the medical operation includes the change from nothing to something, for example, the change details are non-invasive ventilation to invasive ventilation. Another determination rule corresponding to the upgrade of the medical operation includes the change from weak to strong of the same medical operation, for example, the change details are FiO2 from 50% to 80% under invasive ventilation. The determination rule corresponding to the downgrade of the medical operation includes the change from something to nothing, for example, the change details are weaning of the patient. Another determination rule corresponding to the downgrade of the medical operation includes the change from strong to weak, for example, the change details are the dose of norepinephrine from 1.0 to 0.4. The determination rule corresponding to the omission of the medical operation includes no medical operation that should be performed in the change details (the medical operation that should be performed can be obtained from a third-party system, such as a medical order, a test sheet, etc.), for example, the change details are that the image report is not updated for three days.

[0079] Based on the above judgment logic, this embodiment summarizes a paradigm for patient state analysis and presentation, which is not a simple data list, and each element in the paradigm has a clear internal relationship. The information analyzed and presented by the paradigm can help the medical staff to better judge the state of the physiological structure of the patient.

[0080] In the second processing mode, the processor 50 inputs the third type of medical data of the patient into the pre-trained model to obtain the details of the medical operation related to the physiological structure of one or more physiological structures of the patient output by the model and the summary of the medical operation. For example, a large amount of third type of medical data of patients can be collected in advance, and the third type of medical data is labeled by doctors to obtain the corresponding summary of the medical operation and the details of the medical operation related to the physiological structure, and the model (such as a machine learning model, a deep learning model, etc.) is trained by using the third type of medical data with labels, thereby obtaining the trained model. The trained model also accumulates data during use and is trained synchronously, so that through the accumulation of clinical big data, the model can automatically record and analyze the correlation, thereby improving the accuracy of the summary and better assisting the clinical decision-making. The present application not only gives the summary of the medical operation in the past period of time, but also gives the summary reason, that is, the specific medical operation change condition, such as the upgrade of the treatment measure, the specific treatment measure upgrade condition (such as the patient from non-invasive assisted ventilation to invasive assisted ventilation, or the patient's breathing machine inhalation oxygen concentration from 50% to 80%……), so that after the subsequent display, the medical staff is efficiently and reliably prompted.

[0081] For the physiological data related to the physiological structure and / or the details of the change and the summary of the condition based on the physiological data and / or the details of the change, two processing modes are exemplified.

[0082] The first processing mode, since the summary of the illness can be obtained on the basis of the physiological data related to the physiological structure and / or the details of the changes thereof combined with the clinical prior knowledge, that is, the physiological data related to the physiological structure and / or the details of the changes thereof are the reasons, causes and explanations of the summary of the illness, can enable the doctor to understand and recognize the summary of the illness, and thus the physiological data related to the physiological structure and / or the details of the changes thereof can be analyzed to obtain the summary of the illness. In addition, basically every physiological structure has one or more important (key) physiological parameters, test indexes or medical scores, etc., and thus the summary of the illness can be made based on these key physiological data. For ease of description, the concept of illness index is introduced, and the illness index includes at least one of the physiological parameters, test indexes and medical scores. Each physiological structure is pre-associated with a key illness index type, and the key illness index type associated with the physiological structure is the type of the key physiological parameter, the type of the key test index and the type of the key medical score, etc. of the physiological structure. The processor 50 analyzes the first type of medical data of the patient according to the key illness index type pre-associated with one or more physiological structures of the patient to obtain the key illness index associated with the physiological structure; specifically, the key illness index can be directly extracted from the first type of medical data, or the first type of medical data can be processed to obtain the key illness index; correspondingly, the key illness index includes at least one of the key physiological parameter, the key test index and the key medical score; the key illness index is taken as the physiological data related to the physiological structure, and / or, according to the correspondence between the key illness index and the time, the changes (such as the change trend, the change curve, etc.) of the key illness index are obtained, and the changes of the key illness index are taken as the details of the changes of the physiological data related to the physiological structure. The system is pre-provided with a plurality of determination rules (for ease of distinction, such determination rules can be referred to as first rules). It is further determined whether the physiological data related to the physiological structure and / or the details of the changes thereof satisfy the pre-provided determination rules; if yes, it is determined that the summary of the illness is that the illness is improved; otherwise, it is determined that the summary of the illness is that the illness is not improved. The pre-provided determination rule is actually the condition that satisfies the improvement of the illness, which is the expectation of the medical staff for the key illness index and / or the changes thereof of the patient, and can include that the key illness index reaches a pre-provided interval, or the changes of the key illness index satisfy a pre-provided condition, etc. The pre-provision of the determination rule can be pre-provisioned by the system or manually set by the medical staff. It can be seen that the summary of the illness can be used to enable the doctor to know whether the illness of the patient is improved, which is mainly based on whether the key illness index of the patient satisfies the expectation of the medical staff and whether the change trend of the index satisfies the expectation of the medical staff.

[0083] For example, the physiological data change details related to the physiological structure are that SBP rises from 65 mmHg to 100 mmHg and heart rate rises from 50 bpm to 98 bpm, and the corresponding summary of the condition is that the condition is improving, that is, the summary reflects that the patient's condition is improving, and the physiological data change details are consistent with the medical care expectations. For another example, the physiological data related to the physiological structure are that SBP drops from 110 mmHg to 78 mmHg and SpO2 drops from 96 to 85, and the corresponding summary of the condition is that the condition is not improving, that is, the summary reflects that the patient's condition is not improving, and the physiological data is not consistent with the medical care expectations. For still another example, the physiological data related to the physiological structure are that lactate = 5.0 mmol / L and WBC = 18 * 10^9 / L, and the corresponding summary of the condition is that the condition is not improving, that is, the summary reflects that the patient's condition is not improving, and the physiological data is not consistent with the medical care expectations.

[0084] In the second processing mode, the processor 50 inputs the first type of medical data of the patient into a pre-trained model to obtain the physiological data related to the physiological structure and / or the change details thereof and the summary of the condition output by the model. For example, a large amount of first type of medical data of patients can be collected in advance, and doctors can label the first type of medical data to label the corresponding summary of the condition operation and the physiological data related to the physiological structure and / or the change details thereof. The model (such as a machine learning model, a deep learning model, etc.) is trained using these labeled first type of medical data, thereby obtaining a trained model.

[0085] After the processor 50 obtains one or more summaries of the condition of the physiological structure and the summary of the medical care operation by the above-mentioned method, the two clinical dimensions of the summary of the condition and the summary of the medical care operation are comprehensively analyzed to obtain the summary of the state of the physiological structure. For example, the system is pre-provided with a corresponding relationship between the summary of the condition and the summary of the medical care operation and the summary of the state of the physiological structure, and the processor 50 obtains the first two summaries, and then determines the summary of the state of the physiological structure according to the corresponding relationship. The summary of the state of the physiological structure is obtained by comprehensively analyzing the summary of the condition and the summary of the medical care operation, which has high accuracy. For example, the summary of the condition reflects that the state of the physiological structure is stable, but the summary of the medical care operation reflects that the state of the physiological structure is unstable, and then the summary of the state of the physiological structure can be obtained as unstable, thereby avoiding the situation that a single physiological dimension obtains a one-sided and inaccurate conclusion.

[0086] Notably, in the embodiment, the physiological structure state is comprehensively analyzed by two dimensions, which has significant clinical significance. For example, the blood oxygen parameters of a patient are at a lower value, but there is no deterioration, and the physiological parameters are acceptable according to the summary of the disease, which seems to be stable. However, at this time, if the medical operation of the patient has changed from no upper respiratory machine to invasive ventilation, it means that the patient has timely received special treatment, and the disease has not improved. Therefore, it can be concluded that the respiratory system of the patient is unstable to some extent. As can be seen, the summary of the physiological structure state of the patient is determined by two dimensions, so that the final overall situation conclusion is more scientific.

[0087] In addition, it is very important that, in the embodiment, although the summary of the treatment measures and the summary of the disease included in the overall situation conclusion can be obtained by an artificial intelligence model, as described above, the system involved in the embodiment not only presents the final conclusion (physiological structure state), but also presents the branch conclusion supporting the conclusion (summary of treatment measures and summary of disease), and also presents the data details obtained by the branch conclusion (details of treatment measures related to the physiological structure and physiological data related to the physiological structure and / or change details). Therefore, it helps medical staff understand the overall situation conclusion of the patient, understand why the system makes this conclusion, and help medical staff judge the correctness of the conclusion, so that the conclusion can be used more confidently or corrected more timely. Obviously, if the final conclusion is simply obtained by using an artificial intelligence algorithm without related analysis and presentation of the conclusion paradigm, the above effects cannot be achieved.

[0088] Step 3, the processor 50 displays the summary information of one or more physiological structures on the display interface of the display 60. In theory, the summary information of which physiological structure can be obtained according to which physiological structure involved in the current disease and treatment of the patient. The overall situation conclusion of the physiological structure is based on the historical diagnosis and treatment information (first and third types of medical data in a preset time period) of the patient to summarize the past disease of the patient, which is convenient for medical staff to quickly understand the past disease development and diagnosis and treatment of the patient, and has significant clinical value for daily management, diagnosis and treatment, and daily shift of medical staff.

[0089] In the embodiment, the summary information is displayed in units of physiological structures, and the processor 50 displays the summary information of one or more physiological structures in one or more display areas of the display interface of the display 60. That is, the display interface is divided into one or more display areas, each display area is used to display the information of one physiological structure, and the summary information of each physiological structure is displayed in the display area belonging to it, which is also convenient for medical staff to view the summary information of the physiological structure they want to see.

[0090] In one embodiment, the overall situation conclusion of the physiological structure, the details of the medical operation related to the physiological structure, and the physiological data related to the physiological structure and / or the details of the change thereof are displayed in association. As shown in the summary information in the table, the overall situation conclusion of the physiological structure (three summaries) is displayed in front, and the details of the medical operation related to the physiological structure and the physiological data related to the physiological structure and / or the details of the change thereof are displayed in back, embodying the data support structure shown in FIG. 3. The reading habit of the medical staff is also in line with the efficient extraction of information.

[0091] The system provided by the present application is suitable for making clinical decisions by doctors, for example, it can be a CDSS system (clinical decision support system), a CIS system (clinical information system), etc., regardless of its name, as long as it can realize the functions mentioned in the present application. It can be set on various devices with processing capacity, such as PC, notebook computer, tablet computer, mobile terminal, etc., so that doctors can grasp the patient's condition at any time. The system can also display medical data obtained from medical data source devices, but there are many medical data sources and a large amount of data, and one interface cannot display so much data and doctors want to see key data, so the obtained medical data can be simplified. For example, the processor 50 simplifies the first type of medical data and / or the third type of medical data to obtain the simplified medical data of one or more physiological structures, so that the simplified medical data of the physiological structure is also displayed in the display area (each figure represents a display area) where the summary information of the physiological structure is displayed, as shown in FIGS. 5-11. Among them, the simplified medical data of the physiological structure is located before or after the summary information of the physiological structure as a whole, and is located before in the figure. As can be seen from the figure, the simplified medical data includes one or more of physiological parameters, test indexes, medical scores, medical operations, device parameters of treatment devices, and statistical data of treatment target achievement related to the physiological structure. Although the simplified medical data has been simplified, it is still much richer than the summary information, and is important medical data of each medical data source device, which can enable doctors to grasp more detailed information.

[0092] The entire display interface is shown in FIG. 12, and the simplified medical data and summary information of multiple physiological structures are displayed in different areas. Users can see both the summary and the detailed data on one interface, which is very convenient and has high human-computer interaction efficiency. In order to facilitate distinction, the aforementioned display interface, that is, the display interface shown in FIG. 12, can be called a review interface, which is used to review the patient's condition in a past preset time period, such as the past 24 hours.

[0093] As shown in FIG. 12, the display area where the summary information of the physiological structure is displayed also displays the identifier A of the physiological structure. The identifier A is used to uniquely identify the physiological structure, which can be a schematic diagram of the physiological structure.

[0094] The identification A can correspond to the summary of the illness, and the display mode of the identification A corresponding to the two illness summaries of illness improvement and illness non-improvement is different, for example, the identification A corresponding to different illness summaries has different sizes, colors, brightness, and the like. The medical staff can quickly know the summary of the illness through the display mode of the identification A. Specifically, the image element of the identification A corresponds to the summary of the illness, and the two illness summaries of illness improvement and illness non-improvement correspond to different image elements. The image element is one or more of the basic components of the identification A, such as color, shape, background, brightness, and the like. For example, illness improvement uses blue, and illness non-improvement uses red.

[0095] The identification A can also correspond to the summary of the physiological structure state, and the display mode of the identification A corresponding to the two overall states of physiological structure stability and physiological structure instability is different. Similarly, the medical staff can know the summary of the physiological structure state through the display mode of the identification A, which is fast and convenient. Specifically, the image element of the identification A can correspond to the summary of the physiological structure state, and the two overall states of physiological structure stability and physiological structure instability correspond to different image elements. For example, physiological structure stability uses blue, and physiological structure instability uses red.

[0096] It can be seen that, according to the cognition of the clinical medical staff on the patient's overall and individual physiological structure, the medical data of the patient is structured and presented to the medical staff in a panoramic manner of the patient on the basis of physiological structure integration, and the medical staff is provided with a clinical diagnosis and treatment tool (summary information) for quickly evaluating the patient.

[0097] In an embodiment, as shown in FIGS. 4-12, the human body is divided into 7 physiological structures according to the human body pyramid principle: nervous system, circulatory system, respiratory system, liver and kidney function, gastrointestinal tract and nutrition, infection and immunity, and coagulation. In the review interface, which physiological structure obtains medical data is displayed in the corresponding display area, and the 7 display areas can also be displayed. The display area of the physiological structure that obtains medical data displays the simplified medical data and the summary information, and the display area of the physiological structure that does not obtain medical data does not display the simplified medical data and the summary information.

[0098] The simplified medical data displayed from each display area is objective data, and through the objective data, the medical staff can also know the current state of each physiological structure and the illness evolution process, but it needs to be done according to certain experience and professional knowledge.

[0099] As shown in FIG. 5, the nervous system display area includes identification ① (represented by A in FIG. 12), an objective evaluation column ②, a treatment measure column ③, a nursing operation column ④, a treatment target column ⑤, a summary information column ⑥, and a setting column ⑦. The columns ②-⑤ are used to display the simplified medical data, and the summary information column ⑥ is used to display the summary information.

[0100] The objective evaluation column ② can display physiological parameters, test indexes, medical scores, etc. related to physiological structures (nervous system).

[0101] The treatment measure column ③ can display treatment measures and diagnostic measures, for example, related medications, which can only identify the type of medication without specific drug name and dosage (analgesics, sedatives, antiepileptic drugs, and diuretics).

[0102] The nursing operation column ④ can display nursing operations, such as the name of a brain-related drainage tube, drainage volume, nature, color, etc.

[0103] The treatment target column ⑤ can display treatment targets (e.g., target setting values) set by doctors according to patient conditions and statistical data (e.g., compliance rate, fluctuation range, frequency of different values, etc.) of treatment target achievement. The treatment target can serve as a threshold in the decision rule.

[0104] The setting column ⑦ is used to add or reduce columns, thereby personalizing the display area.

[0105] As shown in FIG. 6, the circulatory system display area includes an identifier ①, an objective evaluation column ②, an ultrasound examination result ③, a device parameter column of treatment equipment ④, a treatment measure column ⑤, a nursing operation column ⑥, a treatment target column ⑦, a summary information column ⑧, and a setting column ⑨. The columns ②-⑦ are used to display concise medical data, and the summary information column ⑧ is used to display summary information.

[0106] The objective evaluation column ② can display physiological parameters, test indexes, medical scores, etc. related to physiological structures (nervous system).

[0107] The ultrasound examination result ③ can display circulatory system-related ultrasound examination results.

[0108] The device parameter column of treatment equipment ④ can display device parameters of treatment equipment, such as ECMO values, specifically, rotation speed, blood flow, pre- / post-membrane pressure, etc.

[0109] The treatment measure column ⑤ can display treatment measures and diagnostic measures, for example, 1. related medications, which can only identify the type of medication without specific drug name and dosage (vasoactive drugs, drugs for treating heart failure, antiarrhythmic drugs, and anticholinergic drugs); 2. treatment equipment modes: ECMO & ECMO mode, IABP, PICCO, pacemaker & pacing mode, etc.; 3. specific treatment measures: synchronous electrical cardioversion, fluid resuscitation, etc.

[0110] The nursing operation column ⑥ can display nursing operations, such as related body position changes, bed head & lowering, etc.

[0111] The treatment target column (V) can display the treatment target set by the doctor according to the patient's condition (such as target setting value) and the statistical data of the treatment target achievement (such as the rate of reaching the target, the fluctuation range, the frequency of different values, etc.). The treatment target can be used as a threshold in the decision rule.

[0112] The setting column (IX) is used to add or delete columns, thereby personalizing the display area.

[0113] As shown in FIG. 7, the respiratory system display area includes the identification (I), the objective evaluation column (II), the treatment measure column (III), the nursing operation column (IV), the treatment target column (V), the summary information column (VI), and the setting column (VII). The columns II-V are used to display the medical data, and the summary information column (VI) is used to display the summary information.

[0114] If the patient is diagnosed with ARDS (acute respiratory distress syndrome), an ARDS label can be placed near or on the identification (I).

[0115] The objective evaluation column (II) can display the physiological parameters, test indexes, medical scores, etc. related to the physiological structure (respiratory system).

[0116] The treatment measure column (III) can display the treatment measures and diagnostic measures, such as 1, treatment equipment: ventilator mode & inhaled oxygen concentration, intubation / mask; 2, tracheostomy; 3, chest physical therapy: bronchoscopy, manual / assisted sputum removal, etc.

[0117] The nursing operation column (IV) can display the nursing operations, such as 1, the name of the related drainage tube, the drainage volume, the nature, the color; 2, the related body position change, the bed head too & lowering, etc.

[0118] The treatment target column (V) can display the treatment target set by the doctor according to the patient's condition (such as target setting value) and the statistical data of the treatment target achievement (such as the rate of reaching the target, the fluctuation range, the frequency of different values, etc.). The treatment target can be used as a threshold in the decision rule.

[0119] The setting column (VII) is used to add or delete columns, thereby personalizing the display area.

[0120] As shown in FIG. 8, the liver and kidney function display area includes the identification (I), the treatment measure column (II), the kidney function column (III), the liver function column (IV), the setting column (V), and the summary information column (VI). The columns II-IV are used to display the medical data, and the summary information column (VI) is used to display the summary information.

[0121] If the patient is diagnosed with AKI (acute kidney injury), an AKI label can be placed near or on the identification (I).

[0122] The treatment measure column (II) can display the treatment measures and diagnostic measures, such as 1, treatment equipment: CRRT and the use time; 2, medication: diuretics, etc.

[0123] The kidney function column ③ can display test indexes, such as 1, fluid balance: 24-hour urine volume, 24-hour CRRT ultrafiltration volume, 24-hour output, 24-hour total balance; 2, kidney function test indexes, etc.

[0124] The liver function column ④ can display test indexes, such as 1, Child-Pugh score; 2, function test indexes, etc.

[0125] The setting column ⑤ is used to add or reduce columns, thereby personalizing the display area.

[0126] As shown in FIG. 9, the gastrointestinal tract and nutrition display area includes an identification A, a weight column ①, a nutrition column ②, a treatment target column ③, an image data column ④, a nursing operation column ⑤, a summary information column ⑥, and a setting column ⑦. The columns ①-⑤ are used to display the medical data in a concise manner, and the summary information column ⑥ is used to display the summary information.

[0127] The weight column ① can display the personal information of the patient: weight.

[0128] The nutrition column ② can display the diagnosis operation: medical order, such as the total amount of in-hospital nutrition + out-of-hospital nutrition within 24 hours, etc.

[0129] The treatment target column ③ can display the treatment target (such as target setting value) set by the doctor according to the patient's condition and the statistical data (such as compliance rate, fluctuation range, frequency of different values, etc.) of the achievement of the treatment target. The treatment target can be a calorie target, which can be calculated according to the nutrition liquid prescribed by the medical order. The actual calories can also be displayed, which can be calculated according to the nutrition pump-in amount. Compliance rate = actual calories / medical order calories %.

[0130] The image data column ④ can display image data, such as the measurement results of ultrasound images, such as gastric residual volume (ultrasound); intestinal tract: large intestine / small intestine diameter (ultrasound), etc.

[0131] The nursing operation column ⑤ can display the nursing operation, such as gastric outflow: XX ml, from the latest nursing record.

[0132] The setting column ⑦ is used to add or reduce columns, thereby personalizing the display area.

[0133] As shown in FIG. 10, the coagulation display area includes an identification A, a treatment measure column ①, an objective evaluation column ②, a nursing operation column ③, a summary information column ④, and a setting column ⑤. The columns ②-③ are used to display the medical data in a concise manner, and the summary information column ④ is used to display the summary information.

[0134] The treatment measure column ① can display the treatment measures and diagnosis measures, such as 1, medication: anticoagulant, anti-platelet drug; 2, blood transfusion: platelet transfusion, red blood cell transfusion, etc.

[0135] The objective evaluation column ② can display test indexes related to physiological structure (coagulation), such as APTT (activated partial thromboplastin time), TT (thrombin time), PLT (platelet count), etc.

[0136] The nursing operation column ③ can display nursing operations, such as the treatment and condition of various postoperative wounds, etc.

[0137] The setting column ⑤ is used to add or delete columns, thereby personalizing the display area.

[0138] As shown in FIG. 11, the infection and immunity display area includes an identification ①, a treatment measure column ②, an objective evaluation column ③, an infection source column ④, a nursing operation column ⑤, a summary information column ⑥, and a setting column ⑦. The columns ②-⑤ are used to display the medical data, and the summary information column ⑥ is used to display summary information.

[0139] If the patient is diagnosed with sepsis, a sepsis label can be placed near or on the identification ①.

[0140] The treatment measure column ② can display treatment measures and diagnostic measures, such as 1, medication: antibiotics (extracted from medical orders), etc.

[0141] The objective evaluation column ③ can display physiological parameters, medical scores, test indexes, etc. related to physiological structure (infection and immunity), such as body temperature, △SOFA (comparison of the latest two SOFA scores), test values: PCT, CRP, etc.

[0142] The infection source column ④ can display infection sources, such as viruses, bacteria, etc., which can be extracted according to test reports.

[0143] The nursing operation column ⑤ can display nursing operations, such as the infection of all pipelines and the properties, color, and liquid volume of secretions, etc.

[0144] The setting column ⑦ is used to add or delete columns, thereby personalizing the display area, for example, a column can be added to display infection conditions, such as HIV, hepatitis B, syphilis, etc. (which can be extracted from NGS reports).

[0145] In some embodiments, the treatment measures in medical operations can be focused on, because there are more interventions (treatments) on the patient. Therefore, the process of displaying medical data can be as shown in FIG. 13, including the following steps:

[0146] Step 1', the processor 50 obtains the first type of medical data of the patient from the first type of medical data source device through the communication module 70, and obtains the second type of medical data of the patient from the second type of medical data source device. The first type of medical data source device includes at least one of a monitoring device, a treatment device, an imaging device, and an in-vitro diagnostic device, and in this embodiment, at least two of the four devices are included. The second type of medical data source device includes a treatment device, the first type of medical data reflects the physiological condition of the patient, and the second type of medical data reflects the treatment measures received by the patient. Similarly, the obtained first type of medical data can be the first type of medical data of the patient for a preset time period; the obtained second type of medical data can be the second type of medical data of the patient for a preset time period. The second type of medical data source device can be the same as the third type of medical data source device, the difference is that the second type of medical data obtained by the processor 50 from the second type of medical data source device is not as comprehensive as the third type of medical data, and mainly focuses on treatment data, which can reflect the treatment measures received by the patient. Except for this difference, other aspects of this step are the same as the aforementioned step 1, and will not be repeated here.

[0147] Step 2', the processor 50 obtains summary information of one or more physiological structures of the patient based on the first type of medical data and the second type of medical data of the patient. The summary information of the physiological structure includes: a general situation conclusion of the physiological structure, details of treatment measures related to the physiological structure, and physiological data and / or change details related to the physiological structure. The details of the treatment measures are obtained based on the second type of medical data, and the physiological data and / or change details are obtained based on the first type of medical data. The general situation conclusion includes: a summary of the physiological structure state, a summary of the treatment measures based on the details of the treatment measures, and a summary of the illness based on the physiological data and / or change details. Similarly, this embodiment takes the details of the treatment measures as an example to illustrate the change details of the treatment measures. The general situation conclusion of the physiological structure can also include a preset time period. It can be seen that this embodiment is more specific than the embodiment shown in FIG. 3, and uses three summary+two details to explain the summary information to present to the medical staff.

[0148] Similarly, the summary of the treatment measures and the summary of the illness are used to support the summary of the physiological structure state from two different clinical dimensions. The summary of the physiological structure state can include two kinds of physiological structure stability and instability.

[0149] Similarly, the details of the treatment measures related to the physiological structure are used to support the corresponding summary of the treatment measures from the clinical dimension. The physiological data and / or change details related to the physiological structure are used to support the corresponding summary of the illness from the clinical dimension.

[0150] It can be seen that the "medical operation" in step 2 is changed to "treatment measure", and the "third type of medical data" is changed to "second type of medical data", and basically the step is obtained.

[0151] The processor 50 analyzes the first type of medical data of the patient to obtain a summary of the disease condition, analyzes the second type of medical data of the patient to obtain a summary of the treatment measure, and analyzes the two clinical dimensions of the summary of the disease condition and the summary of the treatment measure to obtain a summary of the physiological structure state.

[0152] The specific process of these processing methods is the same as that of the foregoing step 2, except that the third type of medical data in step 2 is changed to the second type of medical data, and the medical operation is specifically the treatment measure, which will not be repeated here.

[0153] There are two processing methods to obtain a summary of the treatment measure.

[0154] For example, the processor 50 analyzes the second type of medical data of the patient to obtain details of the treatment measure related to the physiological structure of one or more physiological structures of the patient, analyzes the details of the treatment measure related to the physiological structure to obtain a summary of the treatment measure.

[0155] For another example, the processor 50 inputs the second type of medical data of the patient into a pre-trained model to obtain details of the treatment measure related to the physiological structure of one or more physiological structures of the patient output by the model and a summary of the treatment measure.

[0156] Among them, the summary information of the displayed physiological structure is one of the following five: no treatment measure, no change in treatment measure, adjustment of treatment measure, upgrade of treatment measure, and downgrade of treatment measure.

[0157] It can be seen that the specific process of the two processing methods is the same as that of step 2 except for the difference between the third type of medical data and the second type of medical data, the difference between the medical operation and the treatment measure, and the summary of the treatment measure less than the summary of the medical operation, which will not be repeated here.

[0158] In the embodiment, the physiological data related to the physiological structure and / or the details of the change and the summary of the disease condition are the same as those in the foregoing embodiments, and the processing method is also the same, which will not be repeated here.

[0159] Step 3', the processor 50 displays the summary information of the one or more physiological structures in one or more display areas of the display interface of the display 60. For example, the overall situation conclusion of the physiological structure, the details of the treatment measures related to the physiological structure, and the details of the physiological data and / or the changes thereof related to the physiological structure can be displayed in association, wherein the overall situation conclusion of the physiological structure can be displayed first, and the details of the treatment measures related to the physiological structure and the details of the physiological data and / or the changes thereof related to the physiological structure can be displayed later. The overall situation conclusion of the physiological structure can be text information.

[0160] Similarly, the processor 50 can simplify the first type of medical data and / or the second type of medical data to obtain the simplified medical data of the one or more physiological structures; and then display the simplified medical data of the physiological structure in the display area where the summary information of the physiological structure is displayed. Of course, such simplified medical data can also be obtained by simplifying the first type of medical data and / or the third type of medical data.

[0161] Similarly, the present step is basically the same as step 3, except for the difference in the types of medical data (the third type and the second type), the difference in the medical operations and the treatment measures, which will not be repeated here.

[0162] It can be seen that the present embodiment is a further limitation of the embodiment shown in FIG. 2, which limits the third type of medical data to the second type of medical data, and limits the medical operations to the treatment measures, and other technical details are the same as the embodiment shown in FIG. 2, which will not be repeated here.

[0163] The above review interface generally displays the summary information and the simplified medical data of multiple physiological structures of the patient, and the medical staff can select a display area to go to the evaluation interface to display the evaluation information of the selected physiological structure. The process of displaying the evaluation information of the physiological structure is shown in FIG. 14, which includes the following steps:

[0164] Step 4, the processor 50 obtains the medical data of the patient. For the sake of distinction, the medical data in the foregoing embodiments can be referred to as first medical data, and the medical data in the embodiment shown in FIG. 14 can be referred to as second medical data. The medical data of the patient is obtained from a medical data source device, wherein the medical data source device includes at least one of a monitoring device, a treatment device, an imaging device, and an in-vitro diagnostic device, and the present embodiment takes at least two of the monitoring device, the treatment device, the imaging device, and the in-vitro diagnostic device as an example for illustration.

[0165] When the medical data source device comprises a monitoring device, the medical data of the patient comprises monitoring data from the monitoring device, and the processor 50 can acquire the monitoring data generated by the monitoring device directly or indirectly through the communication module 70. The monitoring data can comprise physiological parameters (such as temperature, blood oxygen saturation, heart rate, etc.), change trends thereof, medical scores, etc.

[0166] When the medical data source device comprises a treatment device, the medical data of the patient comprises treatment data from the treatment device, and the processor 50 can acquire the treatment data generated by the treatment device directly or indirectly through the communication module 70. The treatment data can comprise physiological parameters, change trends thereof, device parameters, etc.

[0167] When the medical data source device comprises an imaging device, the medical data of the patient comprises imaging data from the imaging device, and the processor 50 can acquire the imaging data generated by the imaging device directly or indirectly through the communication module 70. The imaging data can comprise various medical images, measurement values based on medical images, etc.

[0168] When the medical data source device comprises an in-vitro diagnostic device, the medical data of the patient comprises detection data from the in-vitro diagnostic device, and the processor 50 can acquire the detection data generated by the in-vitro diagnostic device directly or indirectly through the communication module 70. The detection data can comprise various test indexes (such as blood routine indexes, liver and kidney function indexes, etc.), etc.

[0169] In some embodiments, the medical data source device can further comprise a third-party system. The third-party system can comprise an electronic medical record system (EMR), a hospital information system (HIS), a hospital enterprise resource planning system (HERP), a central station, or an in-vitro diagnostic information system, etc. When the medical data source device comprises a third-party system, the medical data of the patient further comprises patient personal data and / or medical treatment data acquired from the third-party system. The processor 50 can acquire the patient personal data and / or medical treatment data in the third-party system directly or indirectly through the communication module 70.

[0170] It can be seen that the medical data of the patient acquired by the processor 50 can comprise medical data generated by various medical data source devices, and the present application does not limit the way in which the medical data is acquired.

[0171] The first medical data of the preset time period obtained by the foregoing embodiment can be considered as the first medical data of the first preset time period obtained for the convenience of distinguishing, and is suitable for reviewing the illness condition. The embodiment shown in FIG. 14 has a shorter time length, and is usually the second medical data in real time, which is suitable for understanding the current illness condition. Considering that some physiological parameters need to display statistical data or parameter waveforms, etc., the second medical data can also be the second medical data of a preset second time period, that is, the medical data of a past period of time. Considering the timeliness, the preset second time period should not be too long, and the preset second time period is shorter than the preset first time period.

[0172] Step 5, the processor 50 obtains the evaluation information of the physiological structure of the patient based on the medical data of the patient.

[0173] The evaluation information includes a conclusion of a specific angle and medical data information used to support the conclusion of the specific angle from a clinical dimension. The medical data information is obtained based on the medical data of the patient. The medical data information can be extracted from the medical data or obtained by processing the medical data. That is, the content of the medical data information is less than the medical data of the patient, and is a subset of the unprocessed “medical data”. For example, if the medical data of the patient includes a processed ultrasound image, the medical data information here can be the ultrasound image directly. For another example, the medical data information is a result obtained by processing the medical data, for example, “medical data” has “heart rate = 160”, and the result obtained by processing it can include “heart rate out of limit”. For another example, the “medical data” is original data, such as “electrocardiogram signal”, and the result obtained by processing the “medical data” is, for example, “heart rate value (such as heart rate = 160), arrhythmia (such as rapid atrial fibrillation, ventricular tachycardia, etc.), etc.

[0174] The conclusion of the specific angle is the evaluation result of a clinical dimension of the physiological structure, which can be the evaluation of the physiological structure at the moment or the prediction of the physiological structure subsequently. Moreover, the medical data information in the evaluation information can also support the conclusion of the specific angle from the clinical dimension, that is, the two are linked by clinical prior knowledge, and medical staff can determine that the conclusion of the specific angle is correct after seeing the medical data information, and can quickly understand and adopt the conclusion of the specific angle. Such evaluation information belongs to the outline, refinement and condensation of the medical data of the patient in a clinical dimension of the physiological structure, which helps medical staff quickly grasp the condition of the physiological structure of the patient in the clinical dimension, and helps to improve the diagnosis and treatment efficiency.

[0175] Step 6, the processor 50 displays the obtained evaluation information of the physiological structure of the patient on the display interface of the display. In this way, medical staff do not need to view complicated and massive medical data, but can master the illness condition of the patient through the evaluation information, and the work efficiency is high.

[0176] In an embodiment, the evaluation information includes one or more of first evaluation information, second evaluation information, third evaluation information, and fourth evaluation information. The first evaluation information includes a treatment measure suggestion and first medical data information for supporting the treatment measure suggestion from a clinical dimension, the second evaluation information includes a stability conclusion for reflecting a stability of the physiological structure and second medical data information for supporting the stability conclusion from the clinical dimension, the third evaluation information includes a diagnosis conclusion and third medical data information for supporting the diagnosis conclusion from the clinical dimension, and the fourth evaluation information includes a risk warning conclusion and fourth medical data information for supporting the risk warning conclusion from the clinical dimension. The first medical data information, the second medical data information, the third medical data information, and the fourth medical data information are obtained by processing medical data of the patient. In this embodiment, the evaluation information at least includes the first evaluation information. In this way, the medical staff can see the treatment measure suggestion in the first evaluation information, and then see the corresponding medical data information to determine that the treatment measure suggestion is correct, and then can execute the treatment measure with confidence, without making a treatment judgment according to complicated physiological parameters, thereby improving work efficiency. Specifically, the evaluation information can include the above four kinds of evaluation information. In this way, the medical staff can see the current conclusions of the physiological structure in two different clinical dimensions, i.e., the stability conclusion and the diagnosis conclusion, and can also see the predicted conclusions of the physiological structure in two different clinical dimensions, i.e., the treatment measure suggestion and the risk warning conclusion. This basically covers the situation of each dimension that the medical staff wants to know, and the information is comprehensive, so that the medical staff can quickly and comprehensively grasp the patient's condition.

[0177] Some existing products can display a warning state and a warning reason. This is only an upgrade to the traditional alarm mode, and cannot reflect the comprehensive situation of the patient's physiological structure. Some existing products can determine which preset rules are met by the medical data, and then obtain the patient's state according to the preset rules that are met, and then display the patient's state and the rules that are met. Some existing products can obtain the patient's state and the physiological reason for causing the patient's state according to the medical data. These methods are very simple, and at most let the medical staff know the most important state of the patient. The medical staff either sees a large amount of complicated medical data, or sees a brief and important but single state and reason. That is, either there is too much data or the information is too brief, and it is impossible to obtain comprehensive information. The four evaluation information and the medical data information supporting the evaluation information obtained by the present application balance between medical data and summary, and can comprehensively provide the evaluation information to the medical staff from four dimensions. Moreover, the conclusions of the four evaluation information can be mutually verified, for example, the risk warning conclusion can prove the stability conclusion of the unstable physiological structure, the diagnosis conclusion can support the treatment measure suggestion and / or the risk warning conclusion, and the like, thereby greatly improving the credibility of each conclusion, i.e., the evaluation information, and letting the medical staff not need to rely on their own experience and knowledge to judge the accuracy of the conclusion, thereby improving work efficiency.

[0178] There are many ways to obtain the evaluation information in step 5, which are illustrated below.

[0179] In one way, the processor 50 analyzes the medical data of the patient to determine one or more target rules satisfied by the medical data, determines the evaluation information of the physiological structure corresponding to the one or more target rules, and the medical data information in the determined evaluation information at least includes the one or more target rules.

[0180] Due to the diversity of data types and data volume of the medical data, the processor 50 can first analyze the medical data to obtain one or more analysis results reflecting the characteristics of the medical data, and determine the target rules satisfied by the medical data according to the analysis results. The analysis results can be quantitative features or non-quantitative features extracted from the medical data. The analysis results can include time information, such as the time of occurrence of the analysis results, the duration, etc. Subsequently, the analysis results within a preset time range can be extracted according to the time information of the analysis results, and compared with the preset rules.

[0181] The analysis results can include at least one of the following: parameter values, events, results of secondary processing of parameter values, and results of secondary processing of events. The parameter values can include values of physiological parameters, values of test indicators, values of device parameters, measurement values of medical images, etc. For example, the parameter values can include parameter values extracted from monitoring data, such as heart rate values extracted from heart rate data, respiratory rate values extracted from respiratory rate data, blood oxygen values extracted from blood oxygen data, etc. The parameter values can also include measurement values extracted from image data, such as ejection fraction (EF) extracted from ultrasound images. The parameter values can also include biochemical indicator values extracted from detection data, such as arterial partial pressure of oxygen (PaO2) and brain natriuretic peptide (BNP), etc. The parameter values can also include the height, weight, age, etc. of the patient. The parameter values can also include numerical coding assigned to non-quantitative values (such as mental state), such as assigning a value of 1 to mental depression, etc. The medical data is the original data, and the parameter values are obtained by processing the original data once. Some parameter types are listed in the following table:

[0182] The results of the secondary processing of the parameter values include operation results obtained using mathematical methods, such as variance, mean, median, maximum and minimum values, trend change characteristics, volatility measures, stationarity descriptions, random characteristics, morphological patterns, statistical parameters, and the like. The trend change characteristics are characteristic values reflecting the trend change of the parameter values in a period of time, which can reflect the change direction or change speed of the parameter values. For example, the heart rate monotonically increases at an average rate of +0.3 beats per minute in 1 hour, and the oxygenation index monotonically decreases at an average rate of -0.5 mmHg per minute in 1 hour, where the monotonically increasing can be represented by a value of 1, and the monotonically decreasing can be represented by a value of -1. The secondary processing of the parameter values can also include further processing of at least two different processing results, such as obtaining a new parameter based on the mean and standard deviation of the heart rate, and the like. Some examples of the secondary processed parameters are shown in the following table:

[0183] The events obtained from the medical data include at least one of the following: an out-of-limit alarm, an abnormal event, and a clinical event. The out-of-limit alarm is an alarm triggered by the processor 50 when the parameter value exceeds the preset alarm limit, including but not limited to a heart rate out-of-limit alarm, a blood pressure out-of-limit alarm, an oxygen saturation out-of-limit alarm, and the like. The "exceeding the preset alarm limit" can be higher than the highest alarm limit or lower than the lowest alarm limit. The abnormal event includes arrhythmia and other abnormal events based on the waveform characteristics of the medical data, which are not out-of-limit alarms. The clinical event includes examination events, diagnosis events, treatment events, nursing events, and the like recorded in the medical data. When the event is obtained from the medical data, the time of the event can also be recorded for subsequent analysis. The clinical event can reflect the patient's condition. For example, if the patient is receiving oxygen, it indicates that the patient's breathing is unstable and the oxygenation is poor, but the condition is relatively mild and the patient can still breathe independently. If the ventilator is used to provide assisted breathing for the patient, the patient's breathing instability is more serious, and the patient may have lost consciousness and cannot breathe independently. The ventilation mode of the ventilator can also reflect the severity of the patient's condition to some extent. For example, a patient using invasive ventilation can be more serious than a patient using non-invasive ventilation. The use of antihypertensive or antihypertensive drugs for treatment indicates that the patient's circulation is unstable, and the drug is used to maintain stable blood pressure. Blood supplement treatment (including but not limited to fresh plasma and red blood cell supplementation) to maintain sufficient blood volume indicates that the patient's circulation is unstable, and the blood supplement is used to maintain stable blood pressure. Fluid replacement therapy (including but not limited to crystalloid and colloid) to maintain fluid balance indicates that the patient's circulation is unstable, and the fluid replacement is used to maintain the balance of body pressure.

[0184] Some examples of the out-of-limit alarm are shown in the following table:

[0185] Some examples of treatment events are shown in the table below:

[0186] The results of secondary processing of events include information such as the frequency of occurrence, the trend of frequency change, and duration. The frequency of occurrence includes, for example, the number of times heart rate exceeded limits in the past 4 hours, the number of times atrial fibrillation occurred in the past 2 hours, and the number of times ventricular tachycardia occurred in the last 30 minutes. The trend of frequency change includes, for example, an increase or decrease in the number of times heart rate exceeded limits in the past 4 hours compared to the previous 4 hours, and an increase or decrease in atrial fibrillation load in the past 2 hours compared to the previous 2 hours. The duration includes, for example, the duration of excessively high or low intracranial pressure (ICP), excessively high or low end-tidal carbon dioxide (etCO2), and the duration of mean arterial pressure (MAP) <65 mmHg.

[0187] By integrating and extracting information from various medical data, a large number of analytical results are obtained. The processor 50 then matches and judges these results according to a rule base, thereby determining conclusions from specific perspectives within the assessment information. The rule base contains numerous preset rules, with pre-established correspondences between these rules and conclusions from specific perspectives. These preset rules can be formulated based on guidelines, clinical consensus, clinical surveys, and other methods. Compared to determining patient status based on machine learning models, determining conclusions from specific perspectives based on preset rules reflects and transmits the past experience of medical staff, resulting in higher accuracy, more controllable outcomes, and better alignment with the clinical understanding of medical personnel.

[0188] Specifically, the processor 50 determines one or more target rules that the one or more analysis results satisfy based on one or more analysis results. Each analysis result may satisfy one target rule, multiple analysis results may satisfy one target rule, or each analysis result may satisfy multiple target rules, depending on the pre-defined correspondence between the target rules and the analysis results. An analysis result satisfying a target rule can mean that the analysis result fully satisfies the target rule, or that the analysis result is closest to the target rule.

[0189] Further, the processor 50 can compare the one or more analysis results with one or more preset rules in a rule library, so as to determine one or more target rules satisfied by the one or more analysis results in the one or more preset rules. Each preset rule contains one or more preset conditions for the one or more analysis results. Specifically, each preset rule can include a preset condition for a single analysis result, or can include multiple preset conditions for multiple analysis results. The preset conditions can include threshold conditions, trend conditions, qualitative conditions, etc. Each preset rule is defined with corresponding analysis results, and the corresponding relationship between the preset rules and the analysis results can be selected into the analysis results for comparison.

[0190] The at least two analysis results in the same preset rule can be a combination between parameter values (or results of secondary processing of the parameter values), a combination between parameter values and events (or results of secondary processing of the events), a combination between events, etc. For example, the at least two analysis results in the same preset rule can be a combination between parameter values and clinical events, so as to reflect the change of the patient's condition after providing clinical treatment (such as ventilator-assisted breathing, medication, fluid infusion, blood transfusion, etc.), and to be used for judging the treatment effect and determining the development trend of the patient's state. For example, preset rule 1 is that SpO2 gradually increases after the occurrence of a ventilator-assisted breathing treatment event, indicating that the respiratory system state is improved; preset rule 2 is that etCO2 is too low for too long time, or RR is too low for too long time, or SpO2 is too low for too long time after using painkillers to relieve pain, indicating that the painkillers may be excessive and inhibit the respiratory system, and the drug dosage needs to be reduced. In some embodiments, the same preset rule can also correspond to only one analysis result. For example, when a ventilator is used to provide breathing support for a patient, the patient can be considered as a very critical patient, and therefore "use of a ventilator" can be used as a preset rule alone, and the corresponding patient state is unable to breathe autonomously.

[0191] After determining the one or more target rules satisfied by the analysis results of the medical data, the processor 50 determines the conclusion of the specific angle of the physiological structure corresponding to the target rule. The processor 50 can determine the conclusion of the specific angle corresponding to the target rule as the conclusion of the specific angle in the evaluation information according to the preset corresponding relationship between the target rule and the conclusion of the specific angle of the physiological structure.

[0192] It can be seen that the system provided by the present application can determine the conclusion of the specific angle in the multiple evaluation information based on the medical data, and provide medical data information supporting the conclusions, without the need for medical staff to subjectively analyze a large amount of data, thereby directly providing comprehensive, clear and concise information that needs to be paid attention to for the medical staff.

[0193] The processor 50 can determine one or more specific angle conclusions corresponding to one or more target rules according to a preset rule and a corresponding relationship between the preset specific angle conclusions.

[0194] Each target rule corresponds to one specific angle conclusion, i.e. if one target rule is met, it is determined that the physiological structure has a specific angle conclusion corresponding to the target rule; or each target rule corresponds to multiple specific angle conclusions, i.e. as long as one target rule is met, it is determined that the patient's physiological structure has multiple specific angle conclusions; or multiple target rules correspond to one specific angle conclusion, i.e. only when multiple target rules are met at the same time, it can be determined that the patient has a specific angle conclusion corresponding to the multiple target rules.

[0195] The processor 50 can determine the specific angle conclusions of different physiological structures of the patient respectively. For example, the processor 50 can configure corresponding medical data types, data analysis methods and preset rules for each physiological structure. After obtaining multiple types of medical data of the patient, the medical data can be classified according to the corresponding relationship between the physiological structure and the medical data, and then the medical data can be analyzed and judged according to the corresponding relationship between the physiological structure and the data analysis method and the preset rule. For example, according to the corresponding relationship between the respiratory system and the medical data, the medical data related to the respiratory system can be extracted from the multiple types of medical data, the relevant analysis results can be obtained according to the pre-configured data analysis method, and the target rules met by these analysis results can be determined among the multiple preset rules related to the respiratory system, so as to obtain the target rules related to the respiratory system; finally, the specific angle conclusion of the respiratory system can be obtained according to the corresponding relationship between the target rule and the specific angle conclusion.

[0196] The medical data information used to support the specific angle conclusion in the evaluation information can include at least part of one or more target rules. By presenting the specific angle conclusion through the display, the medical staff can be reminded to pay attention to the patient in time and take timely countermeasures; displaying the medical data information used to support the specific angle conclusion can tell the medical staff why the system draws the current displayed specific angle conclusion, increase the credibility of the specific angle conclusion, and on the other hand, it is also helpful for the medical staff to treat the disease in time. The processor 50 can update the evaluation information displayed by the display according to a preset update period, which can be preset by the system or input or changed by the user, which can be counted in minutes, hours, etc. The processor 50 can also continuously monitor the evaluation information in the background, and when the evaluation information is monitored to change, the processor 50 can control the display to update the displayed evaluation information.

[0197] In the first evaluation information, the conclusion of the specific angle is a diagnosis and treatment measure suggestion, which prompts the medical staff to take the next step to intervene in the patient. The intervention can be a treatment measure, a diagnostic measure (such as performing certain examinations, increasing the examination frequency, etc.), nursing, and the like. The medical data information is medical data information used to support the diagnosis and treatment measure suggestion from the clinical dimension. The following is an example of several first evaluation information.

[0198] One kind of first evaluation information, its diagnosis and treatment measure suggestion includes: if there is no contraindication, consider prone position ventilation; and its medical data information includes: PaO2 / FiO2(x)≤150mmHg@time, PEEP(x)≥5cmH2O.

[0199] Another first evaluation information, its diagnosis and treatment measure suggestion includes: consider using a cardiac drug; and its medical data information includes: SBP<90mmHg≥30min, x is being applied to maintain blood pressure, urine output<30mL / h, skin temperature x, CI≤2.2L / (min·m^2), PCWP≥15mmHg.

[0200] Still another first evaluation information, its diagnosis and treatment measure suggestion includes: recommend fluid replacement; and its medical data information includes: SBP<90mmHg for≥30min, x is being applied to maintain blood pressure, level of consciousness x, lactate>2mmol / L, urine output<30mL / h, skin temperature x.

[0201] Considering that a single physiological parameter index abnormality directly gives a diagnosis and treatment measure suggestion is rather hasty, therefore in the medical data information of the first evaluation information, there is information of at least two dimensions. The processor 50 can extract the key condition indicators pre-associated with the physiological structure from the aforementioned analysis results, and from the process of obtaining the aforementioned analysis results, it can be known that the key condition indicators can be extracted from the medical data or obtained by processing the medical data. The condition indicators can include at least one of a physiological parameter, a test index, and a medical score. The medical data information in the first evaluation information can include: a relationship between at least two key condition indicators and a corresponding threshold value, that is, only when at least two key condition indicators are abnormal, a diagnosis and treatment measure suggestion is given. The medical data information in the first evaluation information can also include: a change trend of at least one key condition indicator; although in this case there can be only one key condition indicator, the change trend covers the time dimension, so the key condition indicator + time obtains a diagnosis and treatment measure suggestion is also accurate and rigorous.

[0202] The diagnosis and treatment measure suggestion in the first evaluation information can include one of a suggestion to implement a diagnosis and treatment measure without giving a prompt information of the specific diagnosis and treatment measure, a suggestion to implement a diagnosis and treatment measure with a prompt information of the specific diagnosis and treatment measure, and a suggestion to stop the current diagnosis and treatment measure. That is, the diagnosis and treatment measure suggestion can be divided into the above three kinds. For the case that the intervention is needed for the patient but it is not sure which intervention is used, the prompt information of the suggestion to implement a diagnosis and treatment measure without giving a specific diagnosis and treatment measure can be given, so that the doctor is prompted to take the intervention measure and the illness is avoided from being delayed. Since the evaluation information of the present application has high reliability, the doctor can adopt and execute the diagnosis and treatment measure suggestion after seeing it, and the work efficiency is high.

[0203] In the second evaluation information, the conclusion of the specific angle is a stability conclusion for reflecting the stability of the physiological structure, and the medical data information is medical data information for supporting the stability conclusion from the clinical dimension. The following is an example of several circulatory system second evaluation information.

[0204] For example, in the second evaluation information of a circulatory system, the conclusion of the specific angle includes that the circulatory system is unstable, and the medical data information includes that the HR rises, the SpO2 decreases, and the RR decreases.

[0205] For another example, in the second evaluation information of a circulatory system, the conclusion of the specific angle includes that the circulatory system is unstable, and the medical data information includes that the HR / SPO2 / RR is abnormal, the IBP is slightly abnormal, and other parameters are not found to be abnormal. Among the displayed medical data information, the normal and different severity of the abnormality can be differentially displayed, for example, different colors can be used for differential display, specifically, the content related to "HR / SPO2 / RR abnormality" can be marked with red, the content related to "IBP slight abnormality" can be marked with yellow, and the content related to "other parameters not found to be abnormal" can be marked with green. Different display modes can also be used for differential display, specifically, the flicker frequency can be used for differential display, the severity of the abnormality is high, and the flicker frequency is high, the severity of the abnormality is low, and the flicker frequency is low. Of course, the system can also include a loudspeaker, and the processor 50 can voice broadcast the evaluation information through the loudspeaker, which can be repeated every interval, and also supports continuous repetition. For the risk warning conclusion, if it is not processed, the voice broadcast can automatically gradually increase the volume to prompt the medical staff to process. The prompt of the evaluation information can also integrate these means together, which will not be repeated here.

[0206] In the third evaluation information, the conclusion of the specific angle is a risk warning conclusion, and the medical data information is medical data information for supporting the risk warning conclusion from the clinical dimension. The following is an example of several third evaluation information.

[0207] In a third assessment information, the risk warning conclusion includes: severe shock is likely to occur; and the medical data information includes: shock index (HR / SBP=x)>2.0.

[0208] In another third assessment information, the risk warning conclusion includes: there is a risk of cardiac dysfunction; and the medical data information includes: atrial fibrillation, glomerular filtration rate <60ml / min@time, NT-proBNP>1440pg / ml.

[0209] In still another third assessment information, the risk warning conclusion includes: sepsis is highly suspected; and the medical data information includes: infection, SOFA score increases (x) by ≥2 points compared with baseline.

[0210] In fourth assessment information, the specific angle conclusion is a diagnostic conclusion, and the medical data information is medical data information used to support the diagnostic conclusion from a clinical dimension. Several fourth assessment information are exemplified below.

[0211] In one fourth assessment information, the diagnostic conclusion includes: stage 1 kidney injury is considered; and the medical data information includes: Scr (x)≥1.5-1.9 times the baseline value, Scr increases by ≥26.5μmol / l compared with the baseline value, urine volume <0.5mL / (kg·h) for a duration (x)h.

[0212] In another fourth assessment information, the diagnostic conclusion includes: septic shock is considered; and the medical data information includes: infection, accompanied by SIRS (systemic inflammatory response syndrome), including: T≥38℃, HR≥90bpm, RR>20rpm, PCO2≤32mmHg, WBC≥12*10^9 / L, WBC≤4*10^9 / L, SBP≤90mmHg for >30min, MAP≤65mmHg, x is being used to maintain blood pressure.

[0213] In still another fourth assessment information, the diagnostic conclusion includes: pre-capillary pulmonary hypertension is considered; and the medical data information includes: mPAP≥25mmHg, PAWP≤15mmHg.

[0214] In still another fourth assessment information, the diagnostic conclusion includes: there is a risk of shock due to insufficient effective circulating blood volume; and the medical data information includes: CVP (x)<8mmHg, MAP (x)<65mmHg, SvO2 (x)<65%, urine volume (x)<0.5mL / (kg·h). This gives an auxiliary diagnostic conclusion of physiological structure deterioration from a pathological mechanism.

[0215] The rule base can be established by using clinical prior knowledge, experience of medical staff, various clinical guidelines, etc. to establish the corresponding relationship between the analysis result and the conclusion of a specific angle. The evaluation information obtained by the system analysis is composed of one or more target rules and the analysis result satisfying the target rule. The conclusion of a specific angle and the medical data information can reflect the clinical prior knowledge, experience of medical staff and various clinical guidelines. In other words, the doctor can also obtain the same conclusion of a specific angle by using experience knowledge after seeing the medical data information. It can be seen that the system of the present application realizes the knowledge inheritance of experienced doctors. Young doctors can directly adopt the evaluation information to make diagnosis and treatment decisions, thereby improving the work efficiency.

[0216] In another way, the evaluation information can be obtained by a model. The processor 50 inputs the medical data of the patient into the pre-trained model to obtain the evaluation information of the physiological structure of the patient output by the model. For example, a large amount of medical data of patients can be collected in advance. The analysis results are obtained by analyzing these medical data, and the analysis results are labeled by doctors. The specific angle conclusion and the corresponding medical data information for supporting the conclusion of a specific angle from the clinical dimension are labeled. The model (such as a machine learning model, a deep learning model, etc.) is trained by using these labeled analysis results, thereby obtaining a trained model. The trained model also accumulates data during use and then synchronously trains. Therefore, through the accumulation of clinical big data, the model can automatically record and analyze the correlation, thereby improving the accuracy of summarizing and refining and better assisting clinical decision-making.

[0217] The stability conclusion belongs to the overall evaluation of the physiological structure. The risk warning, diagnosis and treatment suggestion and the diagnosis conclusion can reflect the stability of the physiological structure to a certain extent. Therefore, the second evaluation information can also be obtained from at least one of the other three evaluation information. Specifically, the processor 50 obtains at least one of the first evaluation information, the third evaluation information and the fourth evaluation information of the physiological structure of the patient based on the medical data of the patient. In this embodiment, a plurality of the three evaluation information can be obtained. The way of obtaining the three evaluation information is described above and will not be repeated here. Further, the processor 50 analyzes at least one of the first evaluation information, the third evaluation information and the fourth evaluation information to obtain the second evaluation information. The second evaluation information is obtained from one or more of the other three evaluation information, that is, the stability conclusion of the physiological structure is obtained by analyzing one or more conclusions of different clinical dimensions. Since the conclusions of different dimensions are comprehensively analyzed, the stability conclusion obtained in this way has high accuracy.

[0218] The processor 50 can control the display to display the assessment information of the physiological structure of the patient by text information or graphics. Alternatively, the text information and graphics can also be used in combination. When the text information mode is adopted, a character string related to the assessment information can be pre-configured, including a character string representing the physiological structure, a character string representing a specific conclusion, and the like. The character string can be pre-set by an expert for each assessment information, or adjusted using a natural language processing related method to adapt to the current specific assessment information. Exemplarily, the character string can also allow the user to configure or modify. When the graphic mode is adopted, a graphic related to the conclusion of each assessment information and capable of visually representing the conclusion can be pre-stored and called for display after the conclusion of the assessment information is determined.

[0219] In an embodiment, the display interface displaying the assessment information of the physiological structure can be a monitoring interface of the physiological structure of the patient, which displays other information in addition to the assessment information, so as to facilitate the medical staff to understand the patient's condition in more detail.

[0220] The processor 50 simplifies the medical data of the patient to obtain the simplified medical data of the physiological structure of the patient. The simplified medical data of the physiological structure includes one or more of the physiological parameters related to the physiological structure, the inspection indexes related to the physiological structure, the scores related to the physiological structure, the diagnosis and treatment measures related to the physiological structure, the device parameters of the treatment device, and the statistical data of the treatment target achievement. Thus, the simplified medical data of the physiological structure is also displayed on the monitoring interface of the physiological structure of the patient. The medical data information can be part of the simplified medical data. The simplified medical data, although simplified, is still much richer than the assessment information, and is important medical data of each medical data source device, which can enable the doctor to grasp more detailed information.

[0221] In each piece of assessment information, the conclusion of the specific angle is associated with the medical data information and displayed. Generally, the conclusion of the specific angle is displayed first, and the medical data information is displayed later. When there are multiple pieces of assessment information, multiple conclusions of specific angles can be displayed together, and multiple medical data information can be displayed together. For example, two pieces of assessment information are displayed together as follows:

[0222] Cardiogenic shock is likely to occur, and inotropic agents are considered to be used: SBP < 90 mmHg for ≥ 30 min, x is being applied to maintain blood pressure, urine output < 30 mL / h, skin temperature x, CI ≤ 2.2 L / (min·m^2), PCWP ≥ 15 mmHg.

[0223] "Cardiogenic shock is likely to occur" is the risk warning conclusion of the third assessment information, "inotropic agents are considered to be used" is the diagnosis and treatment measure suggestion of the first assessment information, and the content behind the two is the medical data information of the two.

[0224] For example, three kinds of evaluation information are displayed together as follows:

[0225] There is a risk of shock, and fluid replacement is recommended: SBP < 90 mmHg for > 30 min, x is being applied to maintain blood pressure, the level of consciousness is x, lactate > 2 mmol / L, urine volume < 30 mL / h, skin temperature x.

[0226] The "effective circulating blood volume deficiency" is the diagnostic conclusion of the fourth evaluation information, the "risk of shock" is the risk warning conclusion of the third evaluation information, and the "fluid replacement is recommended" is the diagnosis and treatment measure suggestion of the first evaluation information. The content behind the three is the medical data information of the three.

[0227] The above conclusions are obtained according to the conclusion interpretation information (medical data information) behind, and there is no conflict and exclusion between the conclusions, but they are given based on the combination of the conclusion interpretation information. The interface will display the conclusions of which dimension the conclusion interpretation information can support to explain.

[0228] The display interface described above is a physiological structure monitoring interface, which mainly displays various information of the physiological structure. In some embodiments, the processor 50 can also obtain the evaluation information and the simplified medical data of multiple physiological structures in the aforementioned manner, and display the evaluation information and the simplified medical data of one or more physiological structures in one or more display areas of the display interface of the display 60. For ease of distinction, such a display interface can be referred to as a patient monitoring interface. The doctor can see the overall condition of the patient through the patient monitoring interface, which is very convenient.

[0229] As can be seen, the doctor can use the review interface to hand over the shift and understand the condition of the patient in a long period of time in the past. Then, the doctor can select a display area (that is, select a physiological structure) to trigger the system to execute the flow shown in FIG. 14 to see the monitoring interface of the selected physiological structure and understand the real-time condition of the patient. The doctor can also issue a first instruction to trigger the system to execute the flow shown in FIG. 14 to display the monitoring interface of the patient and understand the real-time condition of multiple physiological structures of the patient. Of course, the user can also issue a second instruction to trigger the system to execute the flow shown in FIG. 2 to jump back to the review interface. In this way, the medical staff can well monitor the patient and have high work efficiency.

[0230] Those skilled in the art can understand that all or part of the functions of various methods in the above embodiments can be realized by hardware or by a computer program. When all or part of the functions in the above embodiments are realized by a computer program, the program can be stored in a computer readable storage medium, which can include read-only memory, random access memory, magnetic disk, optical disk, hard disk, etc. The above functions are realized by executing the program in the computer. For example, the program is stored in the memory of the device, and when the program in the memory is executed by the processor, all or part of the above functions are realized. In addition, when all or part of the functions in the above embodiments are realized by a computer program, the program can also be stored in a server, another computer, a storage medium such as a disk, an optical disk, a flash disk or a mobile hard disk, and then downloaded or copied into the memory of the local device, or the system of the local device is updated, and when the program in the memory is executed by the processor, all or part of the functions in the above embodiments are realized.

[0231] Various exemplary embodiments are described herein. However, those skilled in the art will recognize that changes and modifications can be made thereto without departing from the scope of the present teachings. For example, various operational steps and components used to effect them can be implemented in differing ways depending upon the particular application or applications, e.g., one or more steps can be deleted, modified, or combined with other steps.

[0232] In addition, as will be appreciated by persons skilled in the art, the principles described herein can be reflected in a computer program product that is a computer-readable storage medium having computer-readable program code portions stored therein. Any tangible, non-transitory computer-readable storage medium can be utilized, including magnetic storage devices (hard disks, floppy disks, etc.), optical storage devices (CD-ROMs, DVDs, Blu Ray discs, etc.), flash memory, and / or the like. These computer program instructions can be loaded onto a general purpose computer, a special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions that execute on the computer or other programmable data processing apparatus create means for implementing the functions specified in the flowcharts block or blocks. These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an implementation to implement the functions specified in the flowcharts block or blocks. The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions that execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowcharts block or blocks.

[0233] While the principles of the present disclosure have been illustrated in various embodiments, many modifications of structure, arrangement, proportions, elements, materials, and components which are particularly adapted to specific environments and / or operations can be employed without departing from the principles and scope of the disclosure. These modifications and other changes or modifications will be incorporated within the scope of the disclosure as expressed in the following claims.

[0234] The foregoing detailed description has been presented for purposes of illustrations and description. It is not intended to be exhaustive or to limit the disclosure to the precise form disclosed. Many modifications and variations are possible in light of the above teaching. The described embodiments were chosen in order to best illustrate the principles of the disclosure and its practical application to thereby enable others skilled in the art to best utilize the disclosure. It is intended that the specification and examples be considered as illustrative only, and not restrictive, of the disclosure. It will be apparent to one of ordinary skill in the art that numerous modifications, both as to the equipment and methods, can be made without departing from the scope of the disclosure. Accordingly, other embodiments encompassed by the disclosure can be apparent to those skilled in the art in view of this disclosure, and can be carried out by means of the appended claims without departing from the scope and spirit of the disclosure. Similarly, it is also contemplated that features specified herein can be interchanged or combined with other features specified herein. Although various advantages, embodiments, and features of the present disclosure have been set forth in the foregoing description, modifications to and / or variations of the specific embodiments described may be apparent to those skilled in the art and may be made without departing from the scope of the present disclosure. For example, certain features of one embodiment can be incorporated into another embodiment. Further, any one feature or combination of features in any one embodiment can be combined with any other feature or combination of features in any other embodiment. Therefore, the scope of the present disclosure is to be interpreted in the broadest, reasonable manner possible, giving to the structure, words, and phrases thereof the broadest possible interpretation consistent with the principles and record of this disclosure. The specification and examples given herein are the most complete and specific description of the present disclosure known to the inventors at the time of patent application. However, the scope of the present disclosure is not intended to be limited to the specific embodiments described in this specification. The above description has been presented for purposes of illustration and description only. It is not intended to be exhaustive or to limit the disclosure to the precise form described, and any

[0235] One skilled in the art will recognize that the foregoing preferred embodiments of the present disclosure can vary without departing from the spirit of the present disclosure and the present disclosure is not limited to the preferred embodiments. Therefore, the scope of the present disclosure should be determined not with reference to the above description but should instead be determined with reference to the appended claims, along with their full scope of equivalents.

Claims

1. A method of displaying medical data, characterized by, The method comprises: obtaining first medical data of a patient from a first medical data source device, and obtaining second medical data of the patient from a second medical data source device; wherein the first medical data source device comprises at least one of a monitoring device, a treatment device, an imaging device, and an in-vitro diagnosis device, the second medical data source device comprises a treatment device, the first medical data reflects a physiological condition of the patient, and the second medical data reflects a treatment measure received by the patient; obtaining summary information of one or more physiological structures of the patient based on the first medical data and the second medical data of the patient, wherein the physiological structures comprise physiological systems or organs of the patient; displaying the summary information of the one or more physiological structures in one or more display areas of a display interface; the summary information of the physiological structures comprises a general condition conclusion of the physiological structures, details of a treatment measure related to the physiological structures, and physiological data related to the physiological structures and / or details of changes thereof, wherein the details of the treatment measure are obtained based on the second medical data, and the physiological data related to the physiological structures and / or the details of changes thereof are obtained based on the first medical data; the general condition conclusion comprises a summary of a state of the physiological structures, a summary of a treatment measure based on the details of the treatment measure, and a summary of a disease condition based on the physiological data related to the physiological structures and / or the details of changes thereof.

2. The method of claim 1, wherein, the summary of the treatment measure and the summary of the disease condition are used to support the summary of the state of the physiological structures from two different clinical dimensions; and the summary of the state of the physiological structures comprises two states of stable and unstable.

3. The method of claim 1, wherein, the obtaining of the summary information of the one or more physiological structures of the patient based on the first medical data and the second medical data of the patient comprises: analyzing the first medical data of the patient to obtain the summary of the disease condition, analyzing the second medical data of the patient to obtain the summary of the treatment measure, and analyzing the summary of the disease condition and the summary of the treatment measure from two clinical dimensions to obtain the summary of the state of the physiological structures.

4. The method of claim 1, wherein, the obtaining of the summary information of the one or more physiological structures of the patient based on the first medical data and the second medical data of the patient comprises: analyzing the second medical data of the patient to obtain details of a treatment measure related to the one or more physiological structures of the patient; analyzing the details of the treatment measure related to the one or more physiological structures to obtain the summary of the treatment measure; or inputting the second medical data of the patient into a pre-trained model to obtain details of a treatment measure related to the one or more physiological structures of the patient and the summary of the treatment measure output by the model. ​ The summary information of the physiological structure displayed includes one of the following five summaries of the treatment measures: no treatment measure, no change of the treatment measure, adjustment of the treatment measure, upgrade of the treatment measure and downgrade of the treatment measure.

5. The method of claim 1, wherein, The summary information of the one or more physiological structures of the patient is obtained based on the first type of medical data and the second type of medical data of the patient, and includes: The first type of medical data of the patient is analyzed according to a key condition index type pre-associated with the one or more physiological structures to obtain a key condition index associated with the physiological structure; the key condition index includes at least one of a key physiological parameter, a key examination index and a key medical score; the key condition index and / or a change of the key condition index is taken as physiological data related to the physiological structure and / or change details thereof; it is judged whether the physiological data related to the physiological structure and / or the change details thereof meet a preset rule; if yes, it is determined that the summary of the condition is that the condition is improved; otherwise, it is determined that the summary of the condition is that the condition is not improved; or, The first type of medical data of the patient is input into a pre-trained model to obtain physiological data related to the physiological structure and / or change details thereof and a summary of the condition output by the model.

6. The method of claim 1, wherein, The overall situation conclusion of the physiological structure, details of the treatment measure related to the physiological structure and the physiological data related to the physiological structure and / or change details thereof are displayed in association, wherein the overall situation conclusion of the physiological structure is displayed first, and the details of the treatment measure related to the physiological structure and the physiological data related to the physiological structure and / or change details thereof are displayed later.

7. The method of claim 1, wherein, The overall situation conclusion of the physiological structure is text information.

8. The method of claim 1, wherein, The obtained first type of medical data is first type of medical data of the patient in a preset time period; the obtained second type of medical data is second type of medical data of the patient in the preset time period; and the overall situation conclusion of the physiological structure further includes the preset time period.

9. The method of claim 1, wherein, The method further includes: In the display area in which the summary information of the physiological structure is displayed, the physiological structure is also displayed in simplified medical data; wherein the simplified medical data of the physiological structure is located as a whole before or after the summary information of the physiological structure; the simplified medical data is obtained by simplifying the first type of medical data and / or the second type of medical data of the patient, and includes at least one of a physiological parameter, an examination index, a medical score, a treatment measure, a device parameter of a treatment device and statistical data of a treatment target achievement related to the physiological structure. The display area in which the summary information of the physiological structure is displayed also displays an identifier of the physiological structure; 10. The method of claim 1, wherein, An image element of the identifier corresponds to the summary of the condition, and different image elements correspond to the two summaries of the condition, i.e., the condition is improved and the condition is not improved; Or, An image element of the identifier corresponds to the summary of the physiological structure state, and different image elements correspond to the two overall states, i.e., the physiological structure is stable and the physiological structure is not stable. The image element includes color.

11. The method of claim 10, wherein, ​ 12. The method of claim 1, wherein, The physiological system includes at least one of a motion system, a nervous system, an endocrine system, a circulatory system, a respiratory system, a digestive system, a urinary system, and a reproductive system; and the organ includes at least one of a brain, a heart, a lung, a liver, a stomach, and a kidney.

13. A method of displaying medical data, characterized by, The physiological system includes at least one of a motion system, a nervous system, an endocrine system, a circulatory system, a respiratory system, a digestive system, a urinary system, and a reproductive system; and the organ includes at least one of a brain, a heart, a lung, a liver, a stomach, and a kidney. The method comprises: obtaining first medical data and third medical data of a patient, the first medical data reflecting a physiological condition of the patient, and the third medical data reflecting medical operations received by the patient; obtaining summary information of one or more physiological structures of the patient based on the first medical data and the third medical data of the patient, the physiological structure including a physiological system or an organ of the patient; displaying the summary information of the one or more physiological structures in one or more display areas of a display interface; the summary information of the physiological structure includes: a general condition conclusion of the physiological structure, details of medical operations related to the physiological structure, and physiological data related to the physiological structure and / or details of changes thereof, the details of the medical operations being obtained based on the third medical data, and the physiological data and / or details of changes thereof being obtained based on the first medical data; 14. The method of claim 13, wherein, the general condition conclusion includes: a summary of a state of the physiological structure, a summary of medical operations based on the details of the medical operations, and a summary of a disease condition based on the physiological data and / or details of changes thereof.

15. The method of claim 13, wherein, The medical operations include at least one of a treatment measure, a diagnosis measure, and a nursing operation.

16. The method of claim 13, wherein, The summary of the medical operations and the summary of the disease condition are used to support the summary of the state of the physiological structure from two different clinical dimensions; the details of the medical operations related to the physiological structure are used to support the summary of the medical operations from a clinical dimension, and the physiological data related to the physiological structure and / or details of changes thereof are used to support the summary of the disease condition from a clinical dimension. The obtaining of the summary information of the one or more physiological structures of the patient based on the first medical data and the third medical data of the patient comprises:

17. The method of claim 13, wherein, analyzing the first medical data of the patient to obtain the summary of the disease condition, analyzing the third medical data of the patient to obtain the summary of the medical operations, and analyzing the summary of the disease condition and the summary of the medical operations in two clinical dimensions to obtain the summary of the state of the physiological structure. The obtaining of the summary information of the one or more physiological structures of the patient based on the first medical data and the third medical data of the patient comprises: analyzing the third medical data of the patient to obtain details of medical operations related to the one or more physiological structures of the patient, analyzing the details of the medical operations related to the physiological structure to obtain the summary of the medical operations, or inputting the third medical data of the patient into a pre-trained model to obtain details of medical operations related to the one or more physiological structures of the patient and the summary of the medical operations output by the model. The summary information of the physiological structure displayed includes one of the following six summaries of medical operations: no medical operation, no change in medical operation, adjustment of medical operation, upgrade of medical operation, downgrade of medical operation, and omission of medical operation.

18. The method of claim 13, wherein, The summary information of one or more physiological structures of the patient is obtained based on the first type of medical data and the third type of medical data of the patient, and includes: According to the key disease index type pre-associated with the one or more physiological structures of the patient, the first type of medical data of the patient is analyzed to obtain the key disease index associated with the physiological structure; the key disease index includes at least one of a key physiological parameter, a key test index, and a key medical score; the key disease index and / or the change of the key disease index are taken as physiological data related to the physiological structure and / or change details thereof; it is judged whether the physiological data related to the physiological structure and / or the change details thereof meet a preset rule; if yes, it is determined that the summary of the disease reflected by the first type of medical data related to the physiological structure is that the disease is improved; otherwise, it is determined that the summary of the disease is that the disease is not improved; otherwise, it is determined that the summary of the disease is that the disease is not improved; or, The first type of medical data of the patient is input into a pre-trained model to obtain physiological data related to the physiological structure and / or change details thereof and the summary of the disease output by the model.

19. The method of claim 13, wherein, The overall situation conclusion of the physiological structure, the details of the medical operation related to the physiological structure, and the physiological data related to the physiological structure and / or the change details thereof are displayed in association, wherein the overall situation conclusion of the physiological structure is displayed first, and the details of the medical operation related to the physiological structure and the physiological data related to the physiological structure and / or the change details thereof are displayed later.

20. The method of claim 13, wherein, The overall situation conclusion of the physiological structure is text information.

21. The method of claim 13, wherein, The obtained first type of medical data is the first type of medical data of the patient in a preset time period; the obtained third type of medical data is the third type of medical data of the patient in a preset time period; and the overall situation conclusion of the physiological structure further includes the preset time period.

22. The method of claim 13, wherein, The method further includes: In the display area where the summary information of the physiological structure is displayed, the physiological structure is also displayed with simplified medical data; wherein the simplified medical data of the physiological structure is located as a whole before or after the summary information of the physiological structure; the simplified medical data is obtained by simplifying the first type of medical data and / or the third type of medical data of the patient, and includes at least one of physiological parameters, test indexes, medical scores, treatment measures, device parameters of treatment equipment, and statistical data of treatment target achievement related to the physiological structure.

23. The method of claim 13, wherein, The display area where the summary information of the physiological structure is displayed also displays an identifier of the physiological structure; The image elements of the identifier correspond to the summary of the disease, and different image elements correspond to the two disease summaries of disease improvement and disease not improved; Or, The identified image elements correspond to the summary of the state of the physiological structure, and different image elements correspond to the two overall states of physiological structure stable and physiological structure unstable.

24. The method of claim 23, wherein, The image elements include colors.

25. The method of claim 13, wherein, The physiological system includes at least one of a movement system, a nervous system, an endocrine system, a circulatory system, a respiratory system, a digestive system, a urinary system, and a reproductive system; and the organ includes at least one of a brain, a heart, a lung, a liver, a stomach, and a kidney.

26. A method of displaying medical data, characterized by, Comprising: Obtaining first medical data and third medical data of a patient, the first medical data reflecting a physiological condition of the patient, and the third medical data reflecting medical operations received by the patient; Based on the first medical data and the third medical data of the patient, obtaining summary information of one or more physiological structures of the patient, the physiological structure including a physiological system or an organ of the patient; The summary information of the physiological structure includes a summary of the state of the physiological structure, a summary of medical operations based on details of the medical operations, and a summary of a disease condition based on physiological data and / or details of changes thereof; the details of the medical operations are obtained based on the third medical data, and the physiological data and / or details of changes thereof are obtained based on the first medical data; the summary of the medical operations and the summary of the disease condition are used to support the summary of the state of the physiological structure from two different clinical dimensions; Displaying the summary information of one or more physiological structures on a display interface.

27. A system for displaying medical data, characterized by Comprising: A display; One or more communication modules for communicating with one or more medical data source devices; A memory for storing a program; A processor for executing the program to implement the method of any one of claims 1-26.

28. A computer-readable storage medium, characterized in that, The medium has a program stored thereon, which can be executed by a processor to implement the method of any one of claims 1-26.

Images