Medical data display method and processing system

Abstract

The invention provides a medical data display method and a medical data processing system. The medical data of a patient is acquired from medical data source equipment; and evaluation information of the physiological structure of the patient is obtained based on the medical data of the patient. The evaluation information comprises a conclusion of a specific angle and medical data information for supporting the conclusion of the specific angle from a clinical dimension, and the medical data information is obtained based on medical data of the patient. Wherein the evaluation information at least comprises first evaluation information, in the first evaluation information, a conclusion from a specific angle is a diagnosis and treatment measure suggestion, and the medical data information is used for supporting the diagnosis and treatment measure suggestion from a clinical dimension; and displaying the evaluation information of the physiological structure on a display interface. Therefore, medical staff can execute the diagnosis and treatment measures trustingly without making diagnosis and treatment judgment according to complicated physiological parameters by seeing the diagnosis and treatment measure suggestions in the first evaluation information and then seeing the corresponding medical data information to determine that the diagnosis and treatment measure suggestions are correct, and the working efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of medical devices, and more specifically to a method for displaying and processing medical data. Background Technology

[0002] In medical institutions, patients' vital signs are monitored and their conditions are treated using monitoring and treatment equipment. However, due to the following reasons, it is impossible to provide systematic and comprehensive monitoring of patients.

[0003] Current patient monitoring is conducted using individual machines and single parameters, resulting in ineffective information integration and the formation of information silos, making systematic patient monitoring impossible.

[0004] 1) In a single machine, each parameter is independent of the others. Each parameter is analyzed independently based on the parameter waveform, and the analysis results of each parameter are obtained, reflecting the single parameter change.

[0005] 2) Each monitoring device operates independently, with each performing its own function. The processes of physiological signal acquisition, transmission, analysis, and result storage are basically completed by each device, and information cannot be shared.

[0006] 3) Conventional monitoring methods display a large number of physiological parameters and waveforms on the screen, requiring medical staff to view a large amount of physiological parameter data of the patient, which is time-consuming and laborious. It is impossible to intuitively and quickly grasp the patient's condition, let alone quickly predict subsequent treatment.

[0007] Currently, some products can monitor patient status and provide key physiological parameters that healthcare professionals are concerned with, allowing them to quickly understand the patient's current condition. However, this approach is not comprehensive enough. Furthermore, healthcare professionals need to predict subsequent treatment based on the monitoring data and physiological parameters. Since status monitoring typically only provides conclusions, with limited and not necessarily related data on key physiological parameters, healthcare professionals may feel that making subsequent diagnostic and treatment plans based solely on status monitoring conclusions and a limited number of key physiological parameters is not rigorous enough, or they may hesitate. Consequently, the efficiency of healthcare professionals' work is also difficult to improve. Therefore, existing methods for processing patient medical data still need improvement. Summary of the Invention

[0008] This invention provides a method for displaying and processing medical data, aiming to improve the work efficiency of medical staff.

[0009] One embodiment of a method for displaying medical data includes:

[0010] Acquire patient medical data; the patient's medical data originates 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; when the medical data source device includes the monitoring device, the patient's medical data includes monitoring data from the monitoring device; when the medical data source device includes the treatment device, the patient's medical data includes treatment data from the treatment device; when the medical data source device includes the imaging device, the patient's medical data includes imaging data from the imaging device; when the medical data source device includes the in vitro diagnostic device, the patient's medical data includes detection data from the in vitro diagnostic device.

[0011] Based on the patient's medical data, assessment information on the patient's physiological structure is obtained; the physiological structure includes at least one of the patient's physiological system, characteristics of the physiological system, organs, and characteristics of the organs; the assessment information includes a conclusion from a specific perspective and medical data information used to support the conclusion from a clinical perspective, the medical data information being obtained based on the patient's medical data; wherein, the assessment information at least includes first assessment information, in which the conclusion from the specific perspective is a treatment recommendation, and the medical data information is medical data information used to support the treatment recommendation from a clinical perspective; and

[0012] The evaluation information of the physiological structure is displayed on the display interface.

[0013] One embodiment of a method for displaying medical data includes:

[0014] Acquire patient medical data; the patient's medical data originates from a medical data source device, wherein the medical data source device includes at least two of the following: monitoring equipment, treatment equipment, imaging equipment, and in vitro diagnostic equipment; when the medical data source device includes the monitoring equipment, the patient's medical data includes monitoring data from the monitoring equipment; when the medical data source device includes the treatment equipment, the patient's medical data includes treatment data from the treatment equipment; when the medical data source device includes the imaging equipment, the patient's medical data includes imaging data from the imaging equipment; when the medical data source device includes the in vitro diagnostic equipment, the patient's medical data includes detection data from the in vitro diagnostic equipment.

[0015] Based on the patient's medical data, at least one of the following assessment information—a first assessment information, a second assessment information, a third assessment information, and a fourth assessment information—is obtained regarding the patient's physiological structure. The physiological structure includes the patient's physiological systems, organs, characteristics of the physiological systems, or characteristics of the organs. The first assessment information includes recommendations for treatment and first medical data information to support these recommendations from a clinical perspective. The second assessment information includes a stability conclusion reflecting the stability of the physiological structure and second medical data information to support this stability conclusion from a clinical perspective. The third assessment information includes a diagnostic conclusion and third medical data information to support this diagnostic conclusion from a clinical perspective. The fourth assessment information includes a risk warning conclusion and fourth medical data information to support this risk warning conclusion from a clinical perspective. All three sets of medical data information are obtained by processing the patient's medical data.

[0016] The display interface shows at least one of the first assessment information, second assessment information, third assessment information, and fourth assessment information of the obtained patient physiological structure.

[0017] One embodiment of a medical data processing system includes:

[0018] monitor;

[0019] One or more communication interfaces, the one or more communication interfaces being used to communicate with one or more medical data source devices;

[0020] Memory, used to store programs;

[0021] A processor for executing the program to implement the method described above.

[0022] One embodiment provides a computer-readable storage medium storing a program that can be executed by a processor to implement the method described above.

[0023] According to the medical data display method and processing system of the above embodiments, the patient's medical data is first acquired; then, assessment information of the patient's physiological structure is obtained based on the patient's medical data. The assessment information includes conclusions from a specific perspective and medical data information used to support these conclusions from a clinical perspective, the medical data information being obtained based on the patient's medical data. Specifically, the assessment information includes at least first assessment information, in which the conclusions from the specific perspective are recommendations for treatment measures, and the medical data information is used to support these recommendations from a clinical perspective; the assessment information of the physiological structure is displayed on the display interface. In this way, medical personnel can see the recommendations for treatment measures in the first assessment information, and then check the corresponding medical data information to confirm that the recommendations are correct, allowing them to confidently implement the treatment measures without needing to make diagnostic judgments based on complex physiological parameters, thus improving work efficiency. Attached Figure Description

[0024] Figure 1 This is a structural block diagram of an embodiment of the system for displaying medical data provided by the present invention;

[0025] Figure 2 A flowchart illustrating an embodiment of the method for displaying medical data provided by the present invention;

[0026] Figure 3 A flowchart of another embodiment of the method for displaying medical data provided by the present invention;

[0027] Figure 4 The content structure of the summary information on physiological structures provided by this invention;

[0028] Figure 5 A schematic diagram of the human physiological structure pyramid;

[0029] Figure 6 To review the schematic diagram of the nervous system display area in the interface;

[0030] Figure 7 To review the schematic diagram of the loop system display area in the interface;

[0031] Figure 8 To review the schematic diagram of the respiratory system display area in the interface;

[0032] Figure 9 Here is a diagram of the liver and kidney function display area in the interface;

[0033] Figure 10 Here is a schematic diagram of the gastrointestinal tract and nutrient display areas in the interface;

[0034] Figure 11 This is a diagram illustrating the area displaying blood clotting in the interface.

[0035] Figure 12 This is a schematic diagram of the infection and immunity display area in the interface;

[0036] Figure 13 For review of the interface diagram;

[0037] Figure 14 A flowchart of another embodiment of the method for displaying medical data provided by the present invention;

[0038] Figure 15 This is a schematic diagram of one embodiment of the monitoring interface;

[0039] Figure 16 This is a schematic diagram of another embodiment of the monitoring interface. Detailed Implementation

[0040] The present invention will now be described in further detail with reference to specific embodiments and accompanying drawings. Similar elements in different embodiments are referred to by associated similar element reference numerals. In the following embodiments, many details are described to facilitate a better understanding of this application. However, those skilled in the art will readily recognize that some features may be omitted in different situations, or may be replaced by other elements, materials, or methods. In some cases, certain operations related to this application are not shown or described in the specification. This is to avoid obscuring the core parts of this application with excessive description. For those skilled in the art, detailed description of these related operations is not necessary; they can fully understand the related operations based on the description in the specification and general technical knowledge in the art.

[0041] Furthermore, the features, operations, or characteristics described in the specification can be combined in any suitable manner to form various embodiments. At the same time, the steps or actions in the method description can be rearranged or adjusted in a manner obvious to those skilled in the art. Therefore, the various orders in the specification and drawings are only for the clear description of a particular embodiment and do not imply a necessary order, unless otherwise stated that a particular order must be followed.

[0042] The serial numbers assigned to components in this document, such as "first" and "second," are used only to distinguish the described objects and have no sequential or technical meaning. The terms "connection" and "linkage" used in this application, unless otherwise specified, include both direct and indirect connections (linkages).

[0043] This invention can process a large number of complex medical data from a single patient to obtain assessment information on a specific physiological structure, as well as medical data that supports or proves the accuracy of the assessment information. This allows medical staff to trust the assessment information and quickly understand the patient's condition and take appropriate treatment measures. The following are some detailed examples.

[0044] like Figure 1 As shown, the medical data processing system provided by this invention includes: a display 60, one or more communication modules 70, a memory 40, and a processor 50. The medical data processing system of this invention includes, but is not limited to, any one or a combination of a patient monitor, a local central station, a remote central station, a cloud service system, a mobile terminal, an imaging device, a treatment device, and a support device. The medical data processing system of this invention can also be a portable life information processing system, a transportable life information processing system, or a mobile life information processing system. The medical data processing system of this invention can also be applied to CDSS systems (Clinical Decision Support Systems), CIS systems (Clinical Information Systems), mobile terminals (e.g., ward round carts, mobile phones, tablets, computers), etc., and is not limited thereto. The communication module 70 is used to communicate with external devices to obtain patient medical data, such as communicating with one or more medical data source devices 10. For example, the communication module 70 uses a communication interface, which can be wiredly connected to one or more medical data source devices 10 to obtain medical data from the medical data source devices 10. For example, the communication module 70 is a wireless communication module that can wirelessly connect with one or more medical data source devices 10 to acquire medical data from the medical data source devices 10.

[0045] The memory 40 is used to store the program.

[0046] The processor 50 executes programs stored in the memory 40 to process and display medical data. For example, the processor 50 acquires the patient's medical data, obtains assessment information of the patient's physiological structure based on the medical data, and then displays the assessment information of the physiological structure on the display interface of the monitor 60. The specific process can be as follows: Figure 2 As shown, it includes the following steps:

[0047] Step 1: The processor 50 acquires the patient's medical data. The patient's medical data originates from medical data source devices, which include at least one of monitoring devices, treatment devices, imaging devices, and in vitro diagnostic devices. In some embodiments, the data collected by the aforementioned devices can be acquired through the medical device's own sensors, third-party devices, third-party systems, application software, or through user input.

[0048] This embodiment uses at least two of the following as examples: medical data source devices: monitoring devices, treatment devices, imaging devices, and in vitro diagnostic devices.

[0049] When the medical data source device includes monitoring equipment, the patient's medical data includes monitoring data from that monitoring equipment. The processor 50 can directly or indirectly acquire the monitoring data collected or generated by the monitoring equipment through the communication module 70. Monitoring equipment includes, but is not limited to, patient monitors, ventilators, anesthesia machines, infusion pumps, and syringe pumps. Monitoring data includes, but is not limited to, vital sign data and equipment data from ventilators, infusion pumps, etc. For example, monitoring data may include various physiological parameters (such as temperature, blood oxygen saturation, heart rate, etc.), their trends, medical scores, etc.

[0050] When the medical data source device includes a treatment device, the patient's medical data includes treatment data from that treatment device. The processor 50 can directly or indirectly acquire the treatment data collected or generated by the treatment device through the communication module 70. The treatment data may include physiological parameters, their trends, device parameters, etc.

[0051] When the medical data source device includes imaging equipment, the patient's medical data includes image data from that imaging equipment. The processor 50 can directly or indirectly acquire the image data acquired or generated by the imaging equipment through the communication module 70. Imaging equipment includes, but is not limited to, medical imaging equipment such as DR, XR, CT, PET, MR, nuclear medicine, and ultrasound, as well as various X-ray machines, various infrared instruments, microscopes, and other equipment. Image data may include, for example, various medical images and measurement values ​​based on medical images.

[0052] In some embodiments, imaging equipment can store its acquired or generated image data in a Picture Archiving and Communication System (PACS) and / or a Radiology Information System (RIS). PACS is commonly used in hospital medical imaging departments. Its main task is to digitally store massive amounts of images acquired or generated by various imaging devices through various interfaces (analog, DICOM, network), allowing for rapid retrieval and use under certain authorization when needed, while also providing auxiliary diagnostic and management functions. RIS is also an important medical imaging information system in hospitals, forming an information environment for medical imaging together with PACS. RIS is a computer information system based on the task execution process management of hospital imaging department workflows. It mainly realizes the computerized network control and management of medical imaging laboratory workflows, the sharing of medical image and text information, and, on this basis, enables telemedicine.

[0053] In some embodiments of the present invention, when performing the aforementioned step "processor 50 acquires patient's medical data", processor 50 can acquire image data collected or generated by imaging equipment from PACS and / or RIS, and can also acquire image data collected or generated by medical imaging equipment and stored in PACS and / or RIS, and further processed by PACS and / or RIS. When the medical data source device includes an in vitro diagnostic device, the patient's medical data includes test data from the in vitro diagnostic device, and processor 50 can directly or indirectly acquire the test data collected or generated by the in vitro diagnostic device through communication module 70. Test data includes, but is not limited to, at least one of scale data and physical test data. In addition, examination data includes, but is not limited to, data obtained from various laboratories or biochemical analysis devices, such as, at least one of blood routine test data, liver function test data, kidney function test data, thyroid test data, urine test data, immune test data, coagulation test data, blood gas test data, stool routine test data, and tumor material test data.

[0054] In some embodiments, in vitro diagnostic devices can store the test data they acquire or generate in a laboratory information management system (LIS). LIS is typically software used to process laboratory process information and can also connect to other information systems such as hospital information systems (HIS). LIS can store not only test data acquired or generated by in vitro diagnostic devices, but also data related to almost all laboratory research disciplines, such as hematology, chemistry, immunology, blood banking, surgical pathology, anatomical pathology, online cell counting, and microbiology.

[0055] In some embodiments, the medical data source device may also include other third-party systems. These third-party systems may include electronic medical record systems (EMR, Laboratory Information Management System), personal health record systems (PHR), hospital information systems (HIS, Hospital Information System), hospital enterprise resource planning systems (HERP), central stations, in vitro diagnostic information systems, cardiovascular information systems (CVIS), etc. When the medical data source device includes a third-party system, the patient's medical data also includes patient personal data and / or treatment data obtained from that third-party system. The processor 50 can directly or indirectly obtain patient personal data and / or treatment data from the third-party system through the communication module 70.

[0056] As can be seen, the patient's medical data acquired by the processor 50 may include medical data collected or generated by various medical data source devices. As to how this medical data is acquired, this invention does not limit it.

[0057] The acquired patient medical data is usually real-time. However, considering that some physiological parameters require statistical data or waveform display, the medical data can also be preset for a specific time period, i.e., medical data from a past period. To ensure timeliness, the preset time period will not be too long.

[0058] Step 2: The processor 50 obtains assessment information of the patient's physiological structure based on the patient's medical data. The physiological structure includes at least one of the patient's physiological system, characteristics of the physiological system, organs, and characteristics of organs. The physiological system may include at least one of the musculoskeletal system, nervous system, endocrine system, circulatory system, respiratory system, digestive system, urinary system, and reproductive system. Organs may include at least one of the brain, heart, lungs, liver, stomach, and kidneys. Characteristics of the physiological system or physiological organ include at least one of intake / output, coagulation, nutrition, infection, and blood glucose. In some embodiments, the physiological structure may include other components besides the aforementioned physiological system and its characteristics, organs and their characteristics. For example, the physiological structure may include one or more of the patient's physiological system, physiological organs, physiological sites, tissues, characteristics of the physiological system, and characteristics of the physiological organs. Physiological sites may include at least one of the head, chest, and abdomen. Tissues may include at least one of muscle tissue, nervous tissue, and epithelial tissue.

[0059] Assessment information includes conclusions from a specific perspective and medical data information used to support those conclusions from a clinical perspective. Medical data information is derived from the patient's medical data. Medical data information can be extracted from medical data or obtained through processing of medical data. In other words, the content of medical data information is less than the patient's medical data; it is a subset of the unprocessed "medical data." For example, if the patient's medical data includes processed ultrasound images, then the medical data information here can directly be that ultrasound image. Another example is the result obtained after processing medical data; for instance, if the "medical data" contains "heart rate = 160," the result of processing it could include "heart rate exceeding the limit." Yet another example is that the "medical data" is raw data, such as "electrocardiogram signals," while the "result obtained from processing medical data" could be, for example, "heart rate value (e.g., heart rate = 160), arrhythmias (e.g., rapid atrial fibrillation, ventricular tachycardia, etc.)."

[0060] Conclusions from a specific perspective can be, for example, an assessment of a clinical dimension of a physiological structure, a current assessment of the physiological structure, or a prediction of its future development. Furthermore, the medical data within the assessment information can support this conclusion from a clinical perspective; that is, the two are linked by prior clinical knowledge. Upon seeing the medical data, healthcare professionals can confirm the correctness of the conclusion from that specific perspective and quickly understand and adopt it. Such assessment information is a concise, refined, and condensed summary of the patient's medical data in a clinical dimension of that physiological structure, helping healthcare professionals quickly grasp the patient's physiological structure at that clinical level and improving diagnostic and treatment efficiency. This is particularly beneficial for younger healthcare professionals with limited experience, as assessment information helps them gain a more comprehensive, rapid, and accurate understanding of key information related to the patient's condition, thereby enabling more efficient clinical assessment and decision-making. The assessment information conveys patient information to healthcare professionals in a concise manner. Healthcare professionals can easily interpret (read the information at a glance) and grasp any critical information that the patient may have, without having to examine the patient in detail or analyze medical data in detail. For example, for patients whose bodily systems or physiological functions are in crisis, healthcare professionals can instantly grasp information related to the patient's physical condition.

[0061] Step 3: The processor 50 displays the obtained assessment information of the patient's physiological structure on the monitor's display interface. This eliminates the need for medical staff to review complex and extensive medical data; they can grasp the patient's condition simply through the assessment information, resulting in high work efficiency. Figure 15 and 16 As shown, the evaluation information can be displayed in evaluation window B.

[0062] In one embodiment, the assessment information includes one or more of the following: first assessment information, second assessment information, third assessment information, and fourth assessment information. The first assessment information includes a treatment recommendation and first medical data information to support the treatment recommendation from a clinical perspective. The second assessment information includes a stability conclusion reflecting the stability of physiological structures and second medical data information to support the stability conclusion from a clinical perspective. The third assessment information includes a diagnostic conclusion and third medical data information to support the diagnostic conclusion from a clinical perspective. The fourth assessment information includes a risk warning conclusion and fourth medical data information to support the risk warning conclusion from a clinical perspective. The first, second, third, and fourth medical data information are all obtained by processing the patient's medical data. In this embodiment, the assessment information includes at least the first assessment information. This allows medical staff to see the treatment recommendation in the first assessment information, check the corresponding medical data information to confirm the recommendation's accuracy, and then confidently implement the treatment measures without needing to make diagnostic judgments based on complex physiological parameters, thus improving work efficiency. Specifically, this can be illustrated by using an example where the assessment information includes the above four types of assessment information. This allows healthcare professionals to see the current conclusions of the physiological structure across two different clinical dimensions on the display interface: stability conclusions and diagnostic conclusions. They can also see the predicted conclusions of the physiological structure across two different clinical dimensions: treatment recommendations and risk warning conclusions. It essentially covers all the dimensions of information that healthcare professionals need, providing comprehensive information that allows them to quickly and fully grasp the patient's condition.

[0063] Furthermore, the types of assessment information and the content included in each type of assessment information can be customized by healthcare professionals / other users. Healthcare professionals / other users can select the corresponding assessment information and its contents based on factors such as the patient's condition (e.g., heart failure, injury, respiratory failure), hospital equipment, and hospital conditions. Simultaneously, healthcare professionals / other users can share or publish their customized templates for use by others. In practical applications, healthcare professionals / other users can easily select the currently used template from one or more templates. This template can be created by the current healthcare professional / other user or by others who have not used the system.

[0064] Some existing products can display the warning status and reason for the warning. This is merely an upgrade to traditional alarm methods and cannot reflect the comprehensive condition of the patient's physiological structure. Other existing products can determine which preset rules the medical data meets, then determine the patient's status based on the met preset rules, and subsequently display the patient's status and the met rules. Still other existing products can determine the patient's status and the physiological reasons for the patient's status based on the medical data. These methods are all very simplistic, at most allowing medical staff to know the most important current state of the patient. Medical staff either see a vast and complex amount of medical data or a brief, important but singular status and reason; that is, either there is too much data or the information is too brief, failing to obtain comprehensive and integrated information. This invention, however, obtains four assessment pieces of information along with the medical data supporting the assessment, achieving a balance between medical data and summaries, and providing medical staff with a comprehensive conclusion based on four dimensions. Moreover, the conclusions of these four assessments can corroborate each other. For example, a risk warning conclusion may prove the stability of an unstable physiological structure, and a diagnosis conclusion may support treatment recommendations and / or risk warning conclusions. This greatly improves the credibility of each conclusion, i.e., the assessment information, so that medical staff do not need to rely on their own experience and knowledge to judge the accuracy of the conclusions, thus improving work efficiency.

[0065] There are many ways to obtain evaluation information in step 2, and examples are given below.

[0066] In one approach, a processor 50 analyzes a patient's medical data to determine one or more target rules that the medical data satisfies; determines assessment information of physiological structures corresponding to the one or more target rules; and the medical data information in the determined assessment information includes at least the one or more target rules.

[0067] Due to the complex data types and volumes of medical data, processor 50 can first analyze the medical data to obtain one or more analysis results reflecting the characteristics of the medical data, and then determine the target rules that the medical data must meet based on the analysis results. The analysis results can be quantitative or non-quantitative features extracted from the medical data. The analysis results may include time information, such as the time of occurrence and duration of the analysis result. Subsequently, based on the time information of the analysis results, analysis results within a preset time range can be extracted and compared with preset rules.

[0068] The analysis results may include at least one of the following: parameter values, events, results of secondary processing of parameter values, and results of secondary processing of events. Parameter values ​​may include values ​​of physiological parameters, test indicators, equipment parameters, and measurements from medical images. For example, parameter values ​​may include those extracted from monitoring data, such as heart rate values ​​extracted from heart rate data, respiratory rate values ​​extracted from respiratory rate data, and blood oxygen values ​​extracted from blood oxygen data. Parameter values ​​may also include measurements extracted from imaging data, such as ejection fraction (EF) extracted from ultrasound images. Parameter values ​​may also include biochemical indicators extracted from test data, such as arterial partial pressure of oxygen (PaO2) and brain natriuretic peptide (BNP). Parameter values ​​may also include patient height, weight, and age. Parameter values ​​may also include numerical codes assigned to non-quantitative values ​​(such as mental state), for example, using the value 1 to represent lethargy. Essentially, medical data is the raw data, and parameter values ​​are obtained by processing the raw data. Some parameter types are shown in the table below:

[0069]

[0070]

[0071] The results of secondary processing of parameter values ​​include calculations obtained using mathematical methods, such as variance, mean, median, extreme values, trend change characteristics, volatility measures, stationarity descriptions, stochastic characteristics, morphological patterns, and statistical parameters. The aforementioned trend change characteristics are feature values ​​reflecting the trend change of parameter values ​​over a period of time; these feature values ​​can reflect the direction or rate of change of the parameter values. For example, heart rate monotonically increases at an average rate of +0.3 beats / minute over 1 hour, and oxygenation index monotonically decreases at an average rate of -0.5 mmHg / minute over 1 hour. Monotonically increasing can be represented by the value 1, and monotonically decreasing by the value -1. Secondary processing of parameter values ​​can also include further processing of at least two different processing results, such as obtaining new parameters based on the mean and standard deviation of heart rate. Some examples of parameters after secondary processing are shown in the table below:

[0072]

[0073]

[0074] Events derived from medical data include at least one of the following: over-limit alarms, abnormal events, and clinical events. Over-limit alarms are triggered by the processor 50 detecting parameter values ​​exceeding preset alarm limits, including but not limited to heart rate over-limit alarms, blood pressure over-limit alarms, and blood oxygen saturation over-limit alarms; "exceeding preset alarm limits" can be higher than the highest alarm limit or lower than the lowest alarm limit. Abnormal events include arrhythmias and other abnormal events derived from waveform and other characteristics of medical data that do not fall under the category of over-limit alarms. Clinical events include examination events, diagnostic events, treatment events, and nursing events recorded in the medical data. When deriving events from medical data, the time of occurrence can also be recorded for subsequent analysis. Clinical events can reflect the patient's condition; for example, if a patient receives oxygen therapy, it indicates that the patient may have unstable breathing and poor oxygenation, but the condition is relatively mild and the patient can still breathe independently. If a ventilator is used to provide assisted breathing, the patient's respiratory instability is likely severe. The patient may have lost consciousness and be unable to breathe independently. The ventilation method used by the ventilator can also reflect the severity of the patient's condition to some extent; for example, patients using invasive ventilation may be more severely affected than those using non-invasive ventilation. The use of vasopressors or antihypertensive drugs indicates that the patient may have circulatory instability, thus requiring medication to maintain stable blood pressure. Maintaining adequate blood volume through rehydration therapy (including but not limited to replenishing fresh plasma and red blood cells) indicates that the patient may have circulatory instability, thus requiring rehydration to maintain stable blood pressure. Maintaining fluid balance through rehydration therapy (including but not limited to crystalloid and colloid rehydration) indicates that the patient may have circulatory instability, thus requiring rehydration to maintain pressure balance within the body.

[0075] The following table lists some examples of out-of-limit alarm events:

[0076] Serial Number Parameter Event Name Parameter event source 1 arrhythmia alarm ECG 2 ST / QT Over-limit Alarm ECG 3 Spo2 out-of-range alarm Spo2 4 RR Over-limit Alarm RR 5 SBP out-of-range alarm IBP or NIBP 6 MAP over-limit alarm IBP or NIBP 7 DBP out-of-range alarm IBP or NIBP 8 TEMP Over-limit Alarm TEMP

[0077] Some examples of treatment events are shown in the table below:

[0078]

[0079]

[0080] 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.

[0081] By integrating and extracting information from various medical data, a large amount of analytical results were obtained. The processor 50 then matches and judges these results based on 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 personnel, resulting in higher accuracy, more controllable results, and better alignment with the clinical understanding of medical personnel. Analysis of medical data based on the rule base enables a comprehensive, generalized, and more accurate assessment of the patient's bodily systems or functions.

[0082] 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.

[0083] Furthermore, the processor 50 can compare one or more analysis results with one or more preset rules in the rule base, thereby determining one or more target rules that the one or more analysis results satisfy from among the one or more preset rules. Each preset rule contains one or more preset conditions for one or more analysis results. Specifically, each preset rule may include preset conditions for a single analysis result, or it may include multiple preset conditions for multiple analysis results. Preset conditions may include threshold conditions, trend conditions, qualitative conditions, etc. Each preset rule defines a corresponding analysis result, and the correspondence between preset rules and analysis results can be selected and included in the analysis results for comparison with the preset rules.

[0084] At least two analytical results within the same preset rule can be combinations of parameter values ​​(or the results of secondary processing of parameter values), combinations of parameter values ​​and events (or the results of secondary processing of events), or combinations of events, etc. For example, at least two analytical results within the same preset rule can be combinations of parameter values ​​and clinical events, reflecting changes in the patient's condition after clinical treatment (e.g., mechanical ventilation, medication, fluid replacement, blood transfusion, etc.), used to assess treatment effectiveness and determine the trend of the patient's condition. For example, preset rule 1 states that after a mechanical ventilation treatment event, a gradual increase in SpO2 indicates an improvement in the respiratory system's condition; preset rule 2 states that after analgesia, prolonged periods of excessively low etCO2, excessively low RR, or excessively low SpO2 indicate a possible overdose of analgesics, which may be suppressing the respiratory system and requires a reduction in medication dosage. In some embodiments, the same preset rule may also correspond to only one analytical result. For example, when a patient is already receiving respiratory support using a ventilator, the patient can be considered to be in critical condition. Therefore, "using a ventilator" can be set as a separate preset rule, corresponding to a patient condition where they are unable to breathe independently.

[0085] After determining one or more target rules satisfied by the analysis results of the medical data, the processor 50 determines the conclusion of a specific angle of the physiological structure corresponding to the target rule. The processor 50 can, based on the pre-set correspondence between the target rule and the conclusion of the specific angle of the physiological structure, use the conclusion of the specific angle corresponding to the target rule as the conclusion of the specific angle in the evaluation information.

[0086] As can be seen, the system provided by this invention can determine conclusions from specific perspectives among multiple assessment information based on medical data, and provide medical data information that supports these conclusions. This eliminates the need for medical staff to perform subjective analysis on large amounts of data, and directly provides medical staff with comprehensive, clear, concise, and relevant information.

[0087] The processor 50 can determine one or more specific angle conclusions corresponding to one or more target rules based on the correspondence between preset rules and conclusions from preset specific angles.

[0088] Each target rule corresponds to a conclusion from a specific perspective; that is, if a target rule is satisfied, the physiological structure is determined to have a conclusion from a specific perspective corresponding to that target rule. Alternatively, each target rule corresponds to a conclusion from multiple specific perspectives; that is, if a target rule is satisfied, the patient's physiological structure is determined to have a conclusion from multiple specific perspectives simultaneously. Or, multiple target rules correspond to a conclusion from a specific perspective; that is, only when multiple target rules are satisfied simultaneously can the patient be determined to have a conclusion from a specific perspective corresponding to those multiple target rules.

[0089] The processor 50 can determine conclusions from specific angles regarding different physiological structures of the patient. For example, the processor 50 can configure corresponding medical data types, data analysis methods, and preset rules for each physiological structure. After acquiring multiple types of medical data from the patient, the medical data can be classified according to the correspondence between physiological structures and medical data. Then, the medical data can be analyzed and judged according to the correspondence between physiological structures, data analysis methods, and preset rules. For example, based on the correspondence between the respiratory system and medical data, medical data related to the respiratory system can be extracted from multiple types of medical data. Relevant analysis results can be obtained according to the pre-configured data analysis method. Target rules that these analysis results satisfy can be determined from multiple preset rules related to the respiratory system, thus obtaining target rules related to the respiratory system. Finally, conclusions about the respiratory system from a specific angle are obtained based on the correspondence between the target rules and conclusions from a specific angle.

[0090] The medical data supporting a specific conclusion in the evaluation information may include at least a portion of one or more target rules. Displaying the conclusion from a specific perspective on the screen can remind medical staff to pay attention to the patient and take timely action. Displaying the medical data supporting the conclusion from a specific perspective informs medical staff why the system arrived at the currently displayed conclusion, increasing the credibility of the conclusion and helping medical staff to provide timely and appropriate treatment. The processor 50 can update the evaluation information displayed on the screen according to a preset update cycle, which can be system-preset or user-inputted and modified, and can be measured in minutes, hours, etc. The processor 50 can also continuously monitor the evaluation information in the background and control the screen to update the displayed evaluation information when changes are detected.

[0091] In the first assessment, conclusions from a specific perspective constitute recommendations for treatment measures, suggesting to healthcare professionals what interventions to take next for the patient. Interventions can include treatment measures, diagnostic measures (such as performing certain tests, increasing the frequency of tests, etc.), and nursing care. Medical data information is used to support these treatment recommendations from a clinical perspective. Several types of first assessment information are illustrated below.

[0092] One type of first-assessment information includes recommendations for treatment, such as: prone ventilation may be considered if there are no contraindications; and medical data include: PaO2 / FiO2(x) ≤ 150 mmHg @ time, PEEP(x) ≥ 5 cmH2O.

[0093] Another type of first assessment information, whose treatment recommendations include: considering the use of cardiotonic drugs; whose medical data information includes: SBP <90 mmHg ≥30 min, currently using x to maintain blood pressure, urine output <30 mL / h, skin temperature x, CI ≤2.2 L / (min·m^2), PCWP ≥15 mmHg.

[0094] Another type of first assessment information includes recommendations for treatment, such as: fluid resuscitation; and medical data including: SBP < 90 mmHg for ≥ 30 minutes, blood pressure maintained with x, level of consciousness x, lactate > 2 mmol / L, urine output < 30 mL / h, and skin temperature x.

[0095] Considering that directly recommending treatment measures based on a single abnormal physiological parameter would be too hasty, the medical data information in the first assessment should include at least two dimensions of information. The processor 50 can extract key disease indicators pre-associated with the physiological structure from the aforementioned analysis results. As can be seen from the process of obtaining the aforementioned analysis results, key disease indicators can be extracted from medical data or obtained by processing the medical data. Disease indicators can include at least one of physiological parameters, laboratory indicators, and medical scores. The medical data information in the first assessment can include: the relationship between at least two key disease indicators and their corresponding thresholds; that is, at least two key disease indicators must be abnormal before a treatment measure recommendation is given. The medical data information in the first assessment can also include: the changing trend of at least one key disease indicator; although there may only be one key disease indicator in this case, its changing trend covers the time dimension, so obtaining a treatment measure recommendation based on key disease indicators plus time is also accurate and rigorous.

[0096] The treatment recommendations in the first assessment information can include one of the following: a prompt message suggesting treatment without providing specific measures; a prompt message suggesting treatment with specific measures; or a prompt message suggesting discontinuing the current treatment. In other words, treatment recommendations can be categorized into these three types. For cases where intervention is deemed necessary but the appropriate intervention is uncertain, a prompt message suggesting treatment without providing specific measures can be provided. This alerts the doctor to the need for intervention, preventing delays in treatment. Because the assessment information of this invention has high reliability, medical staff can readily adopt and implement the treatment recommendations, resulting in high work efficiency.

[0097] In the second assessment information, conclusions from a specific perspective reflect the stability of physiological structures, while medical data supports these stability conclusions from a clinical perspective. Several examples of second assessment information for the circulatory system are given below.

[0098] For example, in a second assessment of a circulatory system, a conclusion from a specific perspective includes: the circulatory system is unstable, and its medical data includes: increased heart rate, decreased SpO2, and decreased respiratory rate.

[0099] For example, such as Figure 16 As shown in the figure, "circulatory instability" is the stability conclusion in the second assessment information of the circulatory system, and the three lines below are the corresponding medical data information.

[0100] For example, in a second assessment of the circulatory system, a conclusion from a specific perspective includes: circulatory system instability, with medical data including: abnormal HR / SpO2 / RR, slightly abnormal IBP, and no abnormalities found in other parameters. The displayed medical data, reflecting the normal state of the patient's body systems and / or functions, as well as abnormalities of varying severity, can be differentiated. The state of the patient's body systems and / or functions can include physiological systems, characteristics of physiological systems, organs, and at least one abnormality in organ characteristics, the level of abnormality, the severity level, and the level of care. For example, different colors can be used for differentiated display; specifically, content related to "abnormal HR / SpO2 / RR" can be marked in red, content related to "slightly abnormal IBP" in yellow, and content related to "no abnormalities found in other parameters" in green. Different display methods can also be used for differentiated display; specifically, flashing frequency can be used, with higher flashing frequencies for higher-severity abnormalities and lower flashing frequencies for lower-severity abnormalities. Of course, the system may also include a speaker, and the processor 50 can broadcast assessment information via the speaker, repeating the broadcast at intervals or continuously. For risk warning conclusions that have not been addressed, the volume can be automatically increased gradually during the broadcast to prompt medical staff to take action. These methods can also be combined to provide feedback on assessment information, but these will not be elaborated upon here.

[0101] In the third assessment information, conclusions from a specific perspective constitute risk warning conclusions, and the medical data information is used to support these risk warning conclusions from a clinical perspective. Several types of third assessment information are illustrated below.

[0102] In one type of third-party assessment information, the risk warning conclusion includes: severe shock may occur; the medical data information includes: shock index (HR / SBP=x)>2.0.

[0103] Another type of third-party assessment information includes risk warning conclusions such as: the presence of a risk of heart failure; and its medical data information includes: atrial fibrillation, glomerular filtration rate <60ml / min@time, NT-proBNP>1440pg / ml.

[0104] Another type of third assessment information includes risk warning conclusions such as: high suspicion of sepsis; its medical data information includes: infection, SOFA score increased by (x) points ≥ 2 points from baseline.

[0105] In the fourth assessment information, the conclusion from a specific perspective is the diagnostic conclusion, and the medical data information is the medical data information used to support this diagnostic conclusion from a clinical perspective. Several types of fourth assessment information are listed below.

[0106] In one type of fourth assessment information, the diagnostic conclusion includes: stage 1 kidney injury is considered; the medical data information includes: Scr(x) ≥ 1.5 to 1.9 times the baseline value, Scr increase from the baseline value ≥ 26.5 μmol / l, urine output < 0.5 mL / (kg·h) for a duration (x) h.

[0107] Another fourth assessment includes a diagnostic conclusion suggesting septic shock; the medical data includes infection with SIRS (systemic inflammatory response syndrome), including: T ≥ 38°C, HR ≥ 90 bpm, RR > 20 rpm, PCO2 ≤ 32 mmHg, WBC ≥ 12*10^9 / L, WBC ≤ 4*10^9 / L, SBP ≤ 90 mmHg for > 30 min, MAP ≤ 65 mmHg, and currently using medication to maintain blood pressure.

[0108] Another type of fourth assessment information includes a diagnostic conclusion that suggests precapillary pulmonary hypertension; the medical data includes: mPAP ≥ 25 mmHg, PAWP ≤ 15 mmHg.

[0109] Another type of fourth assessment information includes a diagnostic conclusion of insufficient effective circulating blood volume, indicating a risk of shock; its medical data includes: CVP(x) < 8 mmHg, MAP(x) < 65 mmHg, SvO2(x) < 65%, and urine output(x) < 0.5 mL / (kg·h). This provides an auxiliary diagnostic conclusion of physiological structural deterioration from a pathological mechanism perspective.

[0110] As can be seen from these exemplified assessments, the same diagnostic and treatment recommendations can be expressed in various ways. This invention does not limit these expressions, as long as they convey the meaning of providing a diagnostic and treatment suggestion. Similarly, stability conclusions are summaries of the current or past stability of physiological structures. Regardless of the method used, as long as this meaning is conveyed, it is acceptable. Risk warning conclusions provide early warnings of current or impending risks; they are predictions. Regardless of the method used, as long as they serve the purpose of risk warning, it is acceptable. Diagnostic conclusions are diagnoses of physiological structures in the current or past period. Regardless of the method used, as long as this meaning is conveyed, it is acceptable.

[0111] When establishing the aforementioned rule base, prior clinical knowledge, the experience of medical staff, and various clinical guidelines can be used to establish a correspondence between the analysis results and conclusions from specific perspectives. In this way, the evaluation information obtained by the system analysis consists of one or more target rules and the analysis results that satisfy the target rules. Thus, the conclusions from specific perspectives and the medical data information can reflect prior clinical knowledge, the experience of medical staff, and various clinical guidelines. In other words, after seeing the medical data information, doctors can also obtain the same conclusions from specific perspectives using their experience and knowledge. It can be seen that the system provided by this invention realizes the knowledge inheritance of experienced doctors, and young doctors can directly adopt evaluation information to make diagnosis and treatment decisions, thereby improving work efficiency.

[0112] In another approach, evaluation information can be obtained through a model. The processor 50 inputs the patient's medical data into a pre-trained model, obtaining the model's output evaluation information on the patient's physiological structure. For example, a large amount of patient medical data can be collected in advance, analyzed to obtain analysis results, and then labeled by doctors, annotating specific conclusions and corresponding medical data information to support those conclusions from a clinical perspective. These labeled analysis results are then used to train a model (such as a machine learning model or a deep learning model), resulting in a trained model. The trained model also accumulates data and undergoes synchronous training during use. Therefore, through the accumulation of clinical big data, the model can automatically record and analyze correlations, thereby improving the accuracy of summarization and refinement, and better assisting clinical decision-making.

[0113] The stability conclusion is a comprehensive assessment of physiological structure. Risk warnings, treatment recommendations, and diagnostic conclusions can all reflect the stability of physiological structure to a certain extent. Therefore, the second assessment information can also be obtained from at least one of the other three assessment information. Specifically, the processor 50 obtains at least one of the first, third, and fourth assessment information of the patient's physiological structure based on the patient's medical data. In this embodiment, multiple of these three assessment information can usually be obtained. The methods for obtaining these three assessment information are described above and will not be repeated here. Then, the processor 50 analyzes at least one of the first, third, and fourth assessment information to obtain the second assessment information. The second assessment information is obtained from one or more of the other three assessment information, that is, the stability conclusion of the physiological structure is obtained by analyzing one or more conclusions from different clinical dimensions. Because the conclusions from different dimensions are integrated, the stability conclusion obtained in this way is highly accurate.

[0114] The processor 50 can control the display to show assessment information about the patient's physiological structures through text or graphics. Optionally, text and graphics can be used in combination. When using text, strings related to the assessment information can be pre-configured, including strings representing physiological structures and strings representing specific conclusions. These strings can be pre-set by experts for each assessment piece of information, or adjusted using natural language processing methods to adapt to the specific assessment information. For example, the strings can also be configured or modified by the user. When using graphics, graphics that visually represent the conclusion of each assessment piece of information can be pre-stored, and these graphics can be displayed after the conclusion of the assessment information is determined.

[0115] In one embodiment, the display interface showing assessment information of physiological structures can be a monitoring interface for the patient's physiological structures. In addition to displaying assessment information, the monitoring interface also displays other information to facilitate medical staff to understand the condition in more detail.

[0116] The processor 50 simplifies the patient's medical data to obtain simplified medical data on the patient's physiological structure. The simplified medical data on the physiological structure includes various factors such as physiological parameters related to the physiological structure, test indicators related to the physiological structure, scores related to the physiological structure, diagnostic and treatment measures related to the physiological structure, equipment parameters of treatment equipment, and statistical data on the achievement of treatment goals. As a result, the simplified medical data on the physiological structure is also displayed on the patient's physiological structure monitoring interface. Figure 15 and 16 The curves and values ​​on the right side of Assessment Window B represent the simplified medical data. Medical data information can be a part of the simplified medical data. Although simplified medical data has been reduced, it is still much richer than the assessment information and is important medical data from various medical data source devices, allowing doctors to have more detailed information.

[0117] In each assessment message, conclusions from a specific perspective are displayed in conjunction with their associated medical data, typically with the conclusion appearing first, followed by the medical data. When there are multiple assessment messages, conclusions from multiple perspectives can be displayed together, as can multiple pieces of medical data. For example, two types of assessment messages can be displayed together as follows:

[0118] Cardiogenic shock may occur; consider using cardiotonic drugs: SBP < 90 mmHg ≥ 30 min, currently using x to maintain blood pressure, urine output < 30 mL / h, skin temperature x, CI ≤ 2.2 L / (min·m^2), PCWP ≥ 15 mmHg.

[0119] "Possible cardiogenic shock" is the risk warning conclusion of the third assessment information, while "Consider using cardiotonic drugs" is the treatment recommendation of the first assessment information. The content following both is the medical data information of their respective assessments.

[0120] like Figure 16 As shown, in assessment window B, the respiratory system assessment information includes first and second assessment information. "Recommendation to use respiratory support equipment" is the treatment recommendation in the first assessment information, and "Respiratory system abnormalities" is the stability conclusion in the second assessment information. The three lines below both are medical data information.

[0121] For example, the three assessment pieces of information are displayed together as follows:

[0122] Insufficient effective circulating blood volume poses a risk of shock. Fluid resuscitation is recommended if: SBP < 90 mmHg for ≥ 30 min, blood pressure is being maintained, level of consciousness is low, lactate > 2 mmol / L, urine output < 30 mL / h, and skin temperature is low.

[0123] "Insufficient effective circulating blood volume" is the diagnostic conclusion of the fourth assessment information, "risk of shock" is the risk warning conclusion of the third assessment information, and "recommendation of fluid replacement" is the treatment recommendation of the first assessment information. The content following these three information consists of the medical data of each assessment.

[0124] The above conclusions are derived from the explanation information (medical data information) that follows. The conclusions are not contradictory or mutually exclusive, but rather given based on the combination of explanation information. The interface will display the conclusions of the dimensions that the explanation information can support.

[0125] The aforementioned display interface is a physiological structure monitoring interface, primarily displaying various information about that physiological structure. In some embodiments, the processor 50 can also obtain assessment information and simplified medical data for multiple physiological structures using the aforementioned method, thereby displaying the assessment information and simplified medical data for one or more physiological structures in one or more display areas of the display interface on the monitor 60. For ease of distinction, such a display interface can be referred to as a patient monitoring interface. Doctors can conveniently view the overall condition of the patient's various physiological structures through the patient monitoring interface.

[0126] The monitoring interface allows medical staff to understand the patient's current real-time condition. This invention also provides a review interface, allowing medical staff to review the patient's condition over a longer period of time. The specific process is as follows: Figure 3 As shown, it includes the following steps:

[0127] Step 4: Obtain the patient's medical data. For ease of distinction, the medical data in the aforementioned embodiments can be referred to as the first medical data. Figure 3The medical data in the illustrated embodiment is referred to as second medical data. Second medical data may include first-type medical data and third-type medical data. Specifically, the first-type and third-type medical data of the patient are acquired, for example, by the processor 50 through the communication module 70. The first-type medical data reflects the patient's physiological condition, and the third-type medical data reflects the medical and nursing procedures received by the patient. The implementing entity of this solution can be various hospital systems, including clinical information systems. This system can connect directly to the data source via point-to-point communication or indirectly via relay devices such as gateways.

[0128] The medical and nursing procedures can include at least one of the following: treatment measures, diagnostic measures, and nursing procedures. Treatment measures include non-invasive ventilation, invasive ventilation, drug administration, and CRRT (Continuous Renal Replacement Therapy) to provide life support for the patient. Diagnostic measures include updating imaging reports, performing more detailed examinations, invasive monitoring, monitoring frequency, and testing frequency. Nursing procedures include draining fluid and inserting catheters. It is evident that the third type of medical data does not describe specific physiological parameters, but only the medical and nursing procedures received by the patient. In some embodiments, the processor 50 can directly obtain the patient's first-type medical data from the first-type medical data source device through the communication module 70, or indirectly obtain the first-type medical data collected or generated by the first-type medical data source device, such as from various hospital systems, or even manually input by the physician while holding the medical data displayed by the first-type medical data source device. As long as the first-type medical data is collected or generated by the first-type medical data source device (the final source), the specific method by which the processor 50 obtains this data is not limited. Similarly, the processor 50 can directly acquire the patient's third-class medical data from the third-class medical data source device via the communication module 70, or indirectly acquire the third-class medical data collected or generated by the third-class medical data source device, such as from various hospital systems, or even manually input by the physician while looking at the medical data displayed on the third-class medical data source device. As long as the third-class medical data is collected or generated by the third-class medical data source device (the final source), the specific method by which the processor 50 obtains this data is not limited. The first-class medical data source device can include at least one of the following: monitoring equipment, treatment equipment, imaging equipment, and in vitro diagnostic equipment. Monitoring equipment can be, for example, a bedside monitor or a central monitoring station, and its medical data can include monitoring data. Treatment equipment can be, for example, a ventilator, anesthesia machine, infusion pump, or extracorporeal circulation equipment, and its medical data can include treatment data. Imaging equipment can be, for example, ultrasound imaging equipment, X-ray imaging systems, MRI equipment, or endoscopes, and its medical data can include imaging data. In vitro diagnostic equipment can be, for example, a biochemical analyzer, an immunoassay analyzer, urine and other sample analysis equipment, and its medical data can include test data. The first category of medical data can include physiological data collected by devices that are sources of first-class medical data. For example, monitoring data can include various physiological parameters (such as temperature, blood oxygen saturation, heart rate, etc.), their trends, medical scores, etc.; treatment data can include physiological parameters, their trends, equipment parameters, etc.; imaging data can include various medical images, measurement values ​​based on medical images, etc.; and testing data can include various laboratory indicators (such as blood routine, liver and kidney function indicators, etc.). The third category of medical data sources includes treatment equipment and / or third-party systems, etc.Medical data from therapeutic devices reflects the treatments received by patients. Third-party systems can include electronic medical record (EMR) systems, hospital information systems (HIS) and hospital enterprise resource planning (HERP) systems, central stations, or in vitro diagnostic information systems. Medical data in EMR systems reflects the diagnostic procedures and nursing care received by patients. A third type of medical data can include device parameters collected by the therapeutic device (such as drug dosage, driving pressure, tidal volume, inspiratory-expiratory ratio, PEEP, etc.), and diagnostic and nursing care records collected by third-party systems. The device parameters of various therapeutic devices reflect the treatment measures. Furthermore, the data source referred to in this embodiment is not necessarily a direct data source, but can also be an indirect data source relayed by other devices.

[0129] Since subsequent summaries of physiological structure information are required based on the first and third types of medical data, which constitute a summary of the patient's physiological structure over a period of time, in this embodiment, the first type of medical data acquired by the processor 50 is the first type of medical data for a preset second time period; the third type of medical data acquired is the third type of medical data for a preset second time period. The preset second time period can be set as needed, for example, it can be 24 hours, and the preset second time period is longer than the preset first time period.

[0130] Step 5: The processor 50 obtains summary information on one or more physiological structures of the patient based on the patient's first-class and third-class medical data. The physiological structures include the patient's physiological systems or organs. The physiological systems may include at least one of the musculoskeletal system, nervous system, endocrine system, circulatory system, respiratory system, digestive system, urinary system, and reproductive system. Organs may include at least one of the brain, heart, lungs, liver, stomach, and kidneys. In some embodiments, the physiological structures may include other physiological systems besides the aforementioned physiological systems and / or organs. For example, the physiological structures may include one or more of the patient's physiological systems, physiological organs, physiological sites, tissues, characteristics of the physiological systems, and characteristics of the physiological organs. Physiological sites may include at least one of the head, chest, and abdomen. Tissues may include at least one of muscle tissue, nervous tissue, and epithelial tissue. Characteristics of the physiological systems or physiological organs may include at least one of intake / output, coagulation, nutrition, infection, blood glucose, and medical events. In this embodiment, the number of physiological structures summary information obtained based on the first-class and third-class medical data is equal to the number of physiological structures that can be obtained.

[0131] To enable doctors to quickly understand a patient's condition, the specific content of the physiological structure summary information is crucial. It must not only comprehensively summarize the patient's condition but also provide supporting reasons to ensure that medical staff accept the machine's conclusions. The physiological structure summary information of this invention is more comprehensive than existing technologies, and it follows a consistent format regardless of the physiological structure, making the patient's physiological structure readily apparent. Two examples of summary information are given below for illustration.

[0132] The summary information of a physiological structure includes three summaries: a summary of the physiological structure's state, a summary of medical and nursing procedures based on details of these procedures, and a summary of the patient's condition based on physiological data and / or details of their changes. The details of the medical and nursing procedures are obtained based on a third type of medical data; that is, the processor 50 can process the third type of medical data to obtain the details of the medical and nursing procedures, and then summarize the medical and nursing procedures based on these details. This summary is essentially a conclusion reflecting the overall situation of the medical and nursing procedures within a preset time period. Specifically, in this embodiment, the details of the medical and nursing procedures are specifically the details of the changes in the medical and nursing procedures, and this summary is essentially a conclusion reflecting the changes in the medical and nursing procedures within the preset time period. The physiological data and / or details of their changes are obtained based on a first type of medical data; that is, the processor 50 can process the first type of medical data to obtain the physiological data and / or details of their changes, and then summarize the patient's condition based on the physiological data and / or details of their changes. This summary is essentially a conclusion reflecting the changes in the patient's condition within the preset time period. The summaries of medical procedures and patient conditions support the summary of physiological structural status from two different clinical dimensions. In other words, experienced physicians can draw their own conclusions about the physiological structural status from these summaries, which this invention achieves automatically through a system. These three summaries are correlated; changes in medical procedures and patient conditions reflect the state of the physiological structure. For example, a patient switching from non-invasive to invasive ventilation indicates a worsening of their respiratory system condition, as do low and / or decreased blood oxygen saturation. Similarly, an increased frequency of monitoring a certain physiological parameter may indicate that bedside medical staff perceive a deterioration in the condition of that patient's physiological system. In existing technologies, physiological parameters or disease summaries reflect an improvement in a patient's condition, resulting in a stable physiological structural state. However, this conclusion is one-sided. For example, if the improvement is achieved only with increased treatment, the physiological structural state may not actually be stable. For instance, if a patient switches from non-invasive ventilation to invasive ventilation and their blood oxygen saturation increases, relying solely on physiological parameters as in existing technologies might lead to a conclusion of stability or improvement, when in fact the use of invasive ventilation indicates the patient's condition is not good. Therefore, this invention supports and verifies the summary of the physiological structural state from two dimensions: diagnostic and treatment intervention and changes in the patient's condition, providing more comprehensive and reliable information. Summarizing the physiological structural state is equivalent to summarizing the physiological structure in one sentence. Furthermore, summaries of medical procedures and disease progression not only provide a more detailed summary of the physiological structure in these two clinical dimensions but also support and verify the summary of the physiological structural state, ensuring that doctors do not doubt its accuracy.As mentioned above, existing technology summaries typically only summarize the patient's condition from the perspective of the illness itself. Even when a status summary is mentioned, existing status summaries, considering only the illness (based on physiological parameters), are essentially still just summaries of the illness. In contrast, the summary information of this invention includes three summaries: one is a concise overview of the patient's physiological structure, outlining the overall situation; the other two summaries not only summarize both medical intervention and the illness, but also corroborate and support each other in the summary of the physiological structure. Clearly, the summary information provided by this invention is more comprehensive, more reliable, and facilitates doctors' faster understanding of the patient's condition. In this embodiment, the physiological structure summary information is a summary of the patient's physiological structure over a past period; therefore, the physiological structure summary information also includes a preset time period, meaning it contains information reflecting the preset time period. This allows doctors to quickly grasp the overall situation of the patient's physiological structure over the past preset time period.

[0133] Since conventional monitoring interfaces mostly display numerical values ​​and curves of various physiological and equipment parameters, medical staff often struggle to extract key information from them. Therefore, in this embodiment, the three summaries mentioned above are presented as text information. The text concisely summarizes the physiological structure from three perspectives, allowing medical staff to quickly extract crucial information. Several examples of physiological structure summaries are given below.

[0134] An example of a summary of respiratory system information includes: "The patient's respiratory system was unstable in the past 24 hours; intervention was escalated; and the condition did not improve." "The patient's respiratory system was unstable in the past 24 hours" or simply "the patient's respiratory system was unstable" summarizes the respiratory system's state; "escalated intervention" summarizes the medical and nursing procedures; and "the condition did not improve" summarizes the patient's condition. The summary of the physiological structure's state can precede the other two summaries, conforming to the general-to-specific reading habit, and encapsulating all three summaries in a single sentence, resulting in a very high information density.

[0135] An example of summary information for the circulatory system includes: the patient's circulatory system was unstable in the past 24 hours, intervention was escalated, and the condition improved.

[0136] Another example of summary information about the circulatory system includes: the patient's circulatory system has been stable over the past 24 hours, the intervention has been downgraded, and the condition has improved.

[0137] Another example of summary information about the respiratory system includes: respiratory instability in the past 24 hours, interventions adjusted, and condition improved.

[0138] Another type of physiological structure summary provides more detailed information, including not only the three summaries mentioned above but also other content. Specifically, the three summaries mentioned above are referred to as the overall conclusions of the physiological structure. The physiological structure summary information includes not only the overall conclusions of the physiological structure but also details of medical and nursing procedures related to the physiological structure, as well as physiological data and / or details of changes related to the physiological structure. Similarly, the overall conclusions of the physiological structure can be textual information.

[0139] Details of medical and nursing procedures related to physiological structure are obtained based on third-type medical data, while physiological data and / or details of changes related to physiological structure are obtained based on first-type medical data. The details of medical and nursing procedures related to physiological structure are used to support the corresponding summary of these procedures from a clinical perspective. In other words, after seeing the details of medical and nursing procedures related to physiological structure, doctors can infer the summary of the procedures themselves. Therefore, if doctors are unsure about the summary of medical and nursing procedures, they can refer to the details of medical and nursing procedures related to physiological structure; the two are mutually corroborating, increasing the credibility of the summary of medical and nursing procedures. In this embodiment, the details of medical and nursing procedures are the details of changes in medical and nursing procedures, so doctors can see whether the medical and nursing procedures have changed over a period of time, whether there have been additions, reductions, intensifications, or weakenings, thereby accepting the summary of medical and nursing procedures. Similarly, physiological data and / or details of changes related to physiological structures are used to support the corresponding summary of the condition from a clinical perspective. In other words, after seeing the physiological data and / or details of changes related to physiological structures, doctors can infer the summary of the condition themselves. Therefore, if a doctor is unsure about the summary of the condition, they can refer to the physiological data and / or details of changes related to physiological structures. The two are mutually corroborating, increasing the credibility of the summary of the condition. Several examples of physiological structure summary information are given below.

[0140] The following is an example of summary information for the respiratory system:

[0141] The patient's respiratory system was unstable in the past 24 hours, and the intervention was escalated, but the condition did not improve.

[0142] Intervention analysis: Respiratory support was switched from non-invasive to invasive mechanical ventilation, with PEEP = 8 and FiO2 = 60%.

[0143] Indicator analysis: Oxygenation index = 260, Blood oxygen saturation = 91%

[0144] The Intervention Analysis section details the medical and nursing procedures related to physiological structure, while the Indicator Analysis section details the physiological data and / or changes related to physiological structure.

[0145] Taking the above summary information as an example, the first line of information can be called: a summary of physiological structure; the second line can be called: details of treatment measures related to physiological structure; and the third line can be called: physiological data related to physiological structure (if the third line contains indicator data at two different times, it can also be called details of changes in physiological data related to physiological structure). Specifically, the first display element in the first line, "The patient's circulatory system was unstable in the past 24 hours," can be called a summary of the physiological structure status; the second display element in the first line, "Intervention escalated," can be called a summary of the treatment measures; and the third display element in the first line, "Condition has not improved," can be called a summary of the condition. An example of summary information for the circulatory system is as follows:

[0146] The patient's circulatory system was unstable in the past 24 hours; intervention was escalated, and the condition improved.

[0147] Intervention analysis: Norepinephrine dose was increased from 0.4 to 1.0, combined with dopamine at a dose of 15.0.

[0148] Indicator analysis: SBP increased from 70 mmHg to 105 mmHg, heart rate increased from 53 to 90, and CO increased from 1.0 to 2.5.

[0149] Another example of summary information for a cyclical system is as follows:

[0150] The patient's circulatory system has been stable over the past 24 hours, the intervention level has been downgraded, and the condition has improved.

[0151] Intervention analysis: discontinuation of norepinephrine

[0152] Indicator analysis: SBP = 101 mmHg, HR = 96, CO = 3.0

[0153] Another example of summary information for the respiratory system is as follows:

[0154] Over the past 24 hours, the patient's respiratory system was unstable; intervention measures were adjusted, and the patient's condition has improved.

[0155] Intervention analysis: The ventilator mode was changed from PSV to SIMV, the oxygen concentration increased from 50 to 70, one bronchoscopic suctioning was performed, closed chest drainage was underway, and meropenem 1g three times a day was administered.

[0156] Indicator analysis: SpO2 decreased from 95 to 70 at 22:00, and increased to 95 at 22:10; the latest blood gas analysis results showed no acid-base imbalance.

[0157] It is important to emphasize that this embodiment summarizes a paradigm for patient status analysis and presentation. This paradigm is not a simple data listing; the elements within the paradigm have clear internal connections. Information analyzed and presented through this paradigm can help medical staff better assess the state of a patient's physiological structure. Please see the following explanation and analysis for details:

[0158] Please refer to the following: Figure 4 This summary of physiological structure information has three levels and two clinical dimensions. The information at each lower level not only supports but also explains the summary at the upper level. The three levels are progressive and mutually corroborate each other, which is better than existing technologies with only two levels and one dimension. The information displayed is more comprehensive, accurate, and reliable. In other words, the summary information of physiological structure is generally an organic whole. Although each piece of information has a different focus, when combined, it enables medical staff to quickly grasp the patient's condition and improve the efficiency of diagnosis and treatment.

[0159] The processor 50 obtains summary information on one or more physiological structures of the patient based on the patient's first-class and third-class medical data. There are various methods and approaches for this, which are illustrated below.

[0160] For details of medical and nursing procedures related to physiological structures, and summaries of these procedures based on these details, two examples of treatment methods are given.

[0161] The first processing method involves summarizing medical procedures based on details of procedures related to physiological structures, combined with prior clinical knowledge. In other words, the details of these procedures provide the reasons, justifications, and explanations for the summary, allowing doctors to understand and accept it. Therefore, the details of these procedures can be analyzed to arrive at the summary. Specifically, processor 50 analyzes the patient's third-category medical data to obtain details of medical procedures related to one or more physiological structures; further analysis of these details yields the summary. For example, processor 50 analyzes the patient's third-class medical data to obtain medical and nursing operations at different times within a preset time period. This includes obtaining treatment measures at different times based on the equipment parameters of the treatment device, diagnostic measures at different times based on the diagnostic records of a third-party system, and nursing operations at different times based on the nursing operation records of a third-party system. Based on the correspondence between the preset medical and nursing operations and physiological structures, the processor determines the physiological structure corresponding to the patient's medical and nursing operations (e.g., invasive / non-invasive ventilation corresponds to the respiratory system, specific drug types correspond to specific physiological structures, etc.), thus obtaining... The system analyzes the medical and nursing procedures performed on one or more physiological structures at different times. Based on these procedures, it obtains details of the related medical and nursing procedures. If the procedures remain unchanged, the details include the current procedure (e.g., continuous invasive mechanical ventilation) and associated equipment parameters (e.g., PEEP = 8, FiO2 = 60%). If the procedures change, the details include the procedures before and after the change (e.g., switching from non-invasive to invasive ventilation, adjusting FiO2 from 50% to 80% during invasive ventilation, reducing norepinephrine dosage from 1.0 to 0.4, etc.). The system has multiple preset judgment rules (which can be referred to as the third rule for easy distinction) and a preset correspondence between these rules and summaries of the medical and nursing procedures. The processor 50 determines whether the details of medical and nursing operations related to physiological structures meet preset judgment rules. If a preset judgment rule is met, it is used as the target judgment rule. Based on the correspondence between the judgment rules and the summaries of medical and nursing operations, the summary of medical and nursing operations corresponding to the target judgment rule is used as the summary of medical and nursing operations related to the physiological structure. There are various judgment rules, such as: medical and nursing operations remain unchanged; medical and nursing operations change from none to some; medical and nursing operations change from some to none; medical and nursing operations change from strong to weak; medical and nursing operations change from weak to strong, etc. The summary of medical and nursing operations is a summary of changes in medical and nursing operations, such as no change, upgrade, downgrade, etc.The details of medical and nursing procedures related to physiological structure are detailed records of changes in medical and nursing procedures, such as drug dosage increasing or decreasing from XX to XXX, or changing from non-invasive ventilation to invasive ventilation. It covers at least one preset judgment rule. In this embodiment, the details of medical and nursing procedures related to physiological structure are richer than the preset judgment rule, because the judgment rule may only be a change in the presence or absence or intensity of medical and nursing procedures, while the change details give the specific medical and nursing procedures.

[0162] The resulting physiological structure and summary of medical procedures can be one of the following six types: no medical procedure, no change in medical procedure, adjustment of medical procedure, escalation of medical procedure, downgrading of medical procedure, and omission of medical procedure. The criteria for "no medical procedure" include the absence of the medical procedure in the details. The criteria for "no change in medical procedure" include no change in the details of the medical procedure (e.g., continuous invasive mechanical ventilation for the patient's preset time period, PEEP=8, FiO2=60%). The criteria for "adjustment of medical procedure" include changes in the details of the medical procedure, but it is impossible to determine whether it was an escalation or downgrading (i.e., it is impossible to determine the strength of the medical procedure before and after the change). Adjustments to medical procedures mainly involve simple adjustments to some medical procedures, making it impossible to determine whether they constitute an escalation or downgrading. For example, switching to a different vasoactive drug may sometimes be an adjustment made to adapt to the patient's condition and characteristics, not an escalation or downgrading; therefore, it simply indicates to the doctor that the treatment measures have been adjusted. One criterion for escalating a medical procedure is the addition of a procedure, such as switching from non-invasive ventilation to invasive ventilation. Another criterion for escalating a medical procedure is the increase in the intensity of the same procedure, such as adjusting FiO2 from 50% to 80% under invasive ventilation. One criterion for downgrading a medical procedure is the removal of the procedure, such as weaning the patient off mechanical ventilation. Another criterion for downgrading a medical procedure is the decrease in intensity, such as reducing the norepinephrine dose from 1.0 to 0.4. A criterion for omitting a medical procedure is the absence of a required procedure in the change details (the required procedure can be obtained from a third-party system, such as medical orders or examination reports), such as an imaging report not being updated for three days.

[0163] Based on the above-described judgment logic, this embodiment summarizes a paradigm for patient status analysis and presentation. This paradigm is not a simple data listing; the elements within the paradigm have clear internal connections. Information analyzed and presented through this paradigm can help medical staff better assess the state of a patient's physiological structure.

[0164] The second processing method involves the processor 50 inputting the patient's third-category medical data into a pre-trained model. The model outputs details of medical and nursing procedures related to one or more physiological structures of the patient, along with a summary of these procedures. For example, a large amount of third-category medical data can be collected in advance, and doctors can annotate this data, adding corresponding summaries of medical and nursing procedures and details of procedures related to physiological structures. This annotated third-category medical data is then used to train a model (such as a machine learning model or a deep learning model), resulting in a trained model. The trained model also accumulates data and undergoes synchronous training during use. Therefore, through the accumulation of clinical big data, the model can automatically record and analyze correlations, thereby improving the accuracy of summaries and better supporting clinical decision-making.

[0165] This invention not only provides a summary of medical and nursing procedures over a period of time, but also provides the reasons for the summary, that is, it provides specific information on changes in medical and nursing procedures. For example, if a treatment measure is upgraded, the specific upgrade information will be provided (such as a patient switching from non-invasive ventilation to invasive ventilation, or a patient's oxygen concentration on the ventilator being adjusted from 50% to 80%, etc.). This provides medical staff with efficient and reliable prompts when displayed subsequently.

[0166] For physiological data related to physiological structure and / or details of its changes, and for summaries of the condition based on physiological data and / or details of its changes, two examples of treatment approaches are given.

[0167] The first approach involves summarizing the patient's condition based on physiological data and / or details of changes related to physiological structures, combined with prior clinical knowledge. In other words, the physiological data and / or details of changes related to physiological structures serve as the reasons, causes, and explanations for the summary of the condition, allowing doctors to understand and accept it. Therefore, the physiological data and / or details of changes related to physiological structures can be analyzed to arrive at the summary of the condition. Furthermore, each physiological structure typically has one or more important (key) physiological parameters, laboratory indicators, or medical scores. Therefore, the summary of the condition can be based on these key physiological data. For ease of explanation, the concept of condition indicators is introduced. Condition indicators include at least one of physiological parameters, laboratory indicators, and medical scores. Each physiological structure is pre-associated with key condition indicator types, which are the types of key physiological parameters, key laboratory indicators, and key medical scores associated with the physiological structure. The processor 50 analyzes the patient's first-class medical data to obtain key disease indicators associated with one or more pre-associated physiological structures, based on the types of key disease indicators associated with those structures. Specifically, this may include directly extracting key disease indicators from the first-class medical data, or processing the first-class medical data to obtain key disease indicators. Correspondingly, key disease indicators include at least one of key physiological parameters, key laboratory indicators, and key medical scores. The processor treats these key disease indicators as physiological data related to the physiological structure, and / or, based on the correspondence between key disease indicators and time, obtains changes in these key disease indicators (such as trends, curves, etc.), and treats these changes as details of physiological data changes related to the physiological structure. The system has multiple preset judgment rules (for ease of distinction, these judgment rules can be referred to as the first rule). It then determines whether the physiological data and / or the details of changes related to the physiological structure meet the preset judgment rules; if so, the summary of the condition is determined as improvement; otherwise, the summary of the condition is determined as no improvement. Preset judgment rules essentially define the conditions for improvement in a patient's condition. These rules represent the medical staff's expectations regarding the patient's key condition indicators and / or their changes. They can include key condition indicators reaching preset ranges or changes in key condition indicators meeting preset conditions. These judgment rules can be preset by the system or manually set by medical staff. Therefore, summarizing a patient's condition allows doctors to understand whether the patient's condition has improved, primarily based on whether the patient's key condition indicators meet the medical staff's expectations and whether the trend of these indicators matches those expectations.

[0168] For example, details of physiological data changes related to physiological structure include: SBP increasing from 65 mmHg to 100 mmHg, and heart rate increasing from 50 bpm to 98 bpm; the corresponding summary of the condition is: the condition has improved, meaning this summary reflects that the patient's condition has improved and the physiological data changes are in line with medical staff expectations. Another example is: details of physiological data changes related to physiological structure include: SBP decreasing from 110 mmHg to 78 mmHg, and SpO2 decreasing from 96 to 85; the corresponding summary of the condition is: the condition has not improved, meaning this summary reflects that the patient's condition has not improved and the physiological data changes are not in line with medical staff expectations. Yet another example is: physiological data related to physiological structure include: lactate = 5.0 mmol / L, WBC = 18 * 10^9 / L; the corresponding summary of the condition is: the condition has not improved, meaning this summary reflects that the patient's condition has not improved and the physiological data are not in line with medical staff expectations.

[0169] In the second processing method, the processor 50 inputs the patient's first-type medical data into a pre-trained model to obtain the model's output of physiological data related to physiological structure and / or details of its changes, as well as a summary of the patient's condition. For example, a large amount of patients' first-type medical data can be collected in advance, and doctors can annotate this first-type medical data, annotating the corresponding summaries of the patient's condition and physiological data related to physiological structure and / or details of its changes. This annotated first-type medical data is then used to train the model (such as a machine learning model, deep learning model, etc.), thereby obtaining a trained model.

[0170] Two methods are also given for summarizing the state of physiological structure.

[0171] In the first processing method, after obtaining summaries of the patient's condition and medical procedures from one or more physiological structures using the methods described above, the processor 50 analyzes these two clinical dimensions—the summaries of the patient's condition and the summaries of medical procedures—to obtain a summary of the physiological structure's state. For example, the system may have a pre-set correspondence between summaries of the patient's condition and medical procedures and summaries of the physiological structure's state. The processor 50 obtains the first two summaries and then determines the summary of the physiological structure's state based on this correspondence. By combining the summaries of the patient's condition and the summaries of medical procedures to obtain the summary of the physiological structure's state, the accuracy is high. For instance, if the summary of the patient's condition reflects a stable physiological structure, but the summary of medical procedures reflects an unstable physiological structure, then a summary of an unstable physiological structure can be drawn, avoiding the situation of obtaining a one-sided and inaccurate conclusion from a single physiological dimension.

[0172] In the second processing method, the processor 50 inputs the patient's first-class and third-class medical data into a pre-trained model to obtain a summary of one or more physiological structures of the patient output by the model. For example, a large amount of first-class and third-class medical data of patients can be collected in advance, and doctors can annotate these first-class and third-class medical data to annotate the corresponding summary information of physiological structures. The model (such as a machine learning model, deep learning model, etc.) is trained using these annotated first-class and third-class medical data to obtain a trained model.

[0173] Step 6: The processor 50 displays summary information of one or more physiological structures on the display interface of the monitor 60. Theoretically, the summary information of the physiological structures involved in the current patient's disease and treatment can be obtained. The overall conclusion regarding the physiological structures is based on the patient's historical medical information (first and third category medical data within a preset time period), summarizing the patient's past condition. This facilitates medical staff's rapid understanding of the patient's past disease progression and treatment, and has significant clinical value for daily patient management, treatment, and shift handover.

[0174] In this embodiment, the summary information is displayed on a physiological structure-by-physiological-structure basis. 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, and each display area is used to display the information of one physiological structure. The summary information of each physiological structure is displayed in its respective display area, which makes it convenient for medical staff to view the summary information of the physiological structures they want to see.

[0175] In one embodiment, the overall conclusion regarding the physiological structure, details of the medical procedures related to the physiological structure, and details of physiological data and / or changes related to the physiological structure are displayed in a linked manner. As shown in the summary information in the table above, the overall conclusion regarding the physiological structure (three summaries) is displayed first, followed by details of the medical procedures related to the physiological structure and details of physiological data and / or changes related to the physiological structure, reflecting the overall physiological structure. Figure 4 The data support structure shown aligns with the reading habits of healthcare professionals and allows for more efficient information retrieval.

[0176] The system provided by this invention is suitable for doctors to make clinical decisions. For example, it can be a CDSS (Clinical Decision Support System) or a CIS (Clinical Information System), etc. Regardless of the name, it only needs to implement the functions mentioned in this invention. It can be installed on various devices with processing capabilities, such as PCs, laptops, tablets, and mobile terminals, allowing doctors to monitor patient conditions at any time. The system can also display medical data acquired from medical data source devices. However, medical data sources are diverse and the data volume is large; a single interface cannot display all the data, and doctors want to see key data. Therefore, the acquired 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 simplified medical data on one or more of the aforementioned physiological structures, thereby... Figure 6-12 As shown, within the display area showing the summary information of physiological structures (each graph represents a display area), simplified medical data for that physiological structure is also displayed. This simplified medical data, as a whole, appears either before or after the summary information of the physiological structure; in the graph, it always appears before the summary information. The graph shows that the simplified medical data includes one or more of the following: physiological parameters, laboratory indicators, medical scores, medical procedures, equipment parameters of treatment devices, and statistical data on the achievement of treatment goals related to that physiological structure. Although the simplified medical data has been abridged, it is still much richer than the summary information and represents important medical data from various data source devices, allowing doctors to obtain more detailed information.

[0177] The entire display interface is as follows Figure 13 As shown, simplified medical data and summary information for multiple physiological structures are displayed in separate areas. Users can see both the summary and detailed data on a single interface, which is very convenient and improves human-computer interaction efficiency. For easier differentiation, the aforementioned display interface, i.e. Figure 13 The displayed interface is called the review interface, which is used to review the patient's condition within a preset time period, such as the past 24 hours.

[0178] like Figure 13 As shown, the display area showing the summary information of physiological structures also displays the identifier A of the physiological structure. Identifier A is used to uniquely identify the physiological structure and can be a schematic diagram of the physiological structure.

[0179] The identifier A corresponds to a summary of the patient's condition. The display of identifier A differs between summaries of improved and unchanged conditions; for example, different summaries correspond to identifiers A of different sizes, colors, and brightness. Medical staff can quickly understand the summary of the condition by observing the display of identifier A. Specifically, the image elements of identifier A correspond to the summary of the condition, with different image elements for improved and unchanged conditions. Image elements are the basic components of identifier A, such as one or more of color, shape, background, and brightness. For example, blue is used for improved conditions, and red for unchanged conditions.

[0180] The identifier A can also correspond to the summary of physiological structural states. The display method of identifier A differs for the two overall states of stable and unstable physiological structures. This allows medical staff to quickly and conveniently understand the summary of physiological structural states through the display method of identifier A. Specifically, the image elements of identifier A can correspond to the summary of physiological structural states, with different image elements corresponding to the two overall states of stable and unstable physiological structures. For example, stable physiological structures are represented by blue, and unstable physiological structures by red.

[0181] As can be seen, this invention, based on the clinical medical staff's understanding of the patient's overall condition and individual physiological structures, and their cognitive habits regarding the patient's overall condition and individual physiological structures, presents the patient's medical data in a structured, panoramic view to the medical staff, and provides them with a clinical diagnostic tool (summary information) for rapid assessment of the patient.

[0182] In one embodiment, such as Figure 5-13 As shown, based on the human body pyramid principle, the human body is divided into seven physiological structures: nervous system, circulatory system, respiratory system, liver and kidney function, gastrointestinal tract and nutrition, infection and immunity, and coagulation. In the review interface, the display area shows which physiological structures have acquired medical data, or all seven display areas can be shown. The display area for physiological structures that have acquired medical data shows simplified medical data and summary information, while the display area for physiological structures that have not acquired medical data does not show simplified medical data and summary information.

[0183] The simplified medical data displayed in each display area is objective data. Through this objective data, medical staff can also know the current state of each physiological structure and the progression of the disease, but it requires certain experience and professional knowledge to do so.

[0184] like Figure 6 As shown, the nervous system display area includes the area marked ① ( Figure 13The data is divided into five sections: (A) ① Objective Evaluation ②, (Z) Treatment Measures ③, (Z) Nursing Operations ④, (Z) Treatment Goals ⑤, (Z) Summary Information ⑥, and (Z) Settings ⑦. Sections ②-⑤ display simplified medical data, and section ⑥ displays summary information.

[0185] The objective evaluation section ② can display physiological parameters, test indicators, medical scores, etc., related to physiological structure (nervous system).

[0186] The treatment measures section ③ can display treatment measures and diagnostic measures, such as related medications. You can simply indicate the type of medication without specifying the drug name and dosage (analgesics, sedatives, antiepileptics, dehydrating agents).

[0187] The nursing operation column ④ can display nursing operations, such as the name, drainage volume, nature, and color of brain-related drainage tubes.

[0188] The treatment goal section (⑤) displays the treatment goals set by the doctor based on the patient's condition (such as the target value) and statistical data on the achievement of these goals (such as the achievement rate, fluctuation range, and frequency of different values). Treatment goals can be used as thresholds in decision-making rules.

[0189] Settings section ⑦ is used to add or remove columns, thereby personalizing the display area.

[0190] like Figure 7 As shown, the circulatory system display area includes: ① label, ② objective evaluation column, ③ ultrasound examination results, ④ equipment parameters of treatment equipment, ⑤ treatment measures, ⑥ nursing operation, ⑦ treatment goals, ⑧ summary information, and ⑨ settings. Columns ②-⑦ are used to display simplified medical data, and column ⑧ is used to display summary information.

[0191] The objective evaluation section ② can display physiological parameters, test indicators, medical scores, etc. related to physiological structure (circulatory system).

[0192] Ultrasound examination result ③ can display ultrasound examination results related to the circulatory system.

[0193] The equipment parameter column ④ of the treatment device can display the equipment parameters of the treatment device, such as ECMO values, specifically such as rotation speed, blood flow, pre- and post-membrane pressure, etc.

[0194] The treatment measures section (⑤) can display treatment measures and diagnostic measures, such as: 1. Related medications, which can only indicate the type of medication without specifying the drug name and dosage (vasoactive drugs, drugs for treating heart failure, antiarrhythmic drugs, anticholinergic drugs); 2. Treatment equipment mode: ECMO & ECMO mode, IABP, PICCO, pacemaker & pacing mode, etc.; 3. Specific treatment measures: synchronized cardioversion, fluid resuscitation, etc.

[0195] The nursing operation column ⑥ can display nursing operations, such as related positional changes, bed head raising and lowering, etc.

[0196] The treatment goal section (⑦) displays the treatment goals set by the doctor based on the patient's condition (such as the target value) and statistical data on the achievement of these goals (such as the achievement rate, fluctuation range, and frequency of different values). Treatment goals can be used as thresholds in decision-making rules.

[0197] The settings panel (⑨) is used to add or remove columns, thereby personalizing the display area.

[0198] like Figure 8 As shown, the respiratory system display area includes the following sections: ① Label, ② Objective Evaluation, ③ Treatment Measures, ④ Nursing Operations, ⑤ Treatment Goals, ⑥ Summary Information, and ⑦ Settings. Sections ②-⑤ display simplified medical data, and section ⑥ displays summary information.

[0199] If a patient is diagnosed with ARDS (acute respiratory distress syndrome), an ARDS label can be placed near or on label ①.

[0200] The objective evaluation section ② can display physiological parameters, test indicators, medical scores, etc. related to physiological structure (respiratory system).

[0201] The treatment measures section ③ can display treatment measures and diagnostic measures, such as: 1. Treatment equipment: ventilator mode & inhaled oxygen concentration, intubation / mask; 2. Tracheostomy; 3. Chest physical therapy: fiberoptic bronchoscopy, manual / assisted sputum clearance, etc.

[0202] The nursing operation column ④ can display nursing operations, such as: 1. the name, drainage volume, nature, and color of the relevant drainage tubes; 2. relevant changes in body position, such as raising or lowering the head of the bed.

[0203] The treatment goal section (⑤) displays the treatment goals set by the doctor based on the patient's condition (such as the target value) and statistical data on the achievement of these goals (such as the achievement rate, fluctuation range, and frequency of different values). Treatment goals can be used as thresholds in decision-making rules.

[0204] Settings section ⑦ is used to add or remove columns, thereby personalizing the display area.

[0205] like Figure 9 As shown, the liver and kidney function display area includes the following sections: ① label, ② treatment measures, ③ kidney function, ④ liver function, ⑤ settings, and ⑥ summary information. Sections ② and ④ display simplified medical data, while section ⑥ displays summary information.

[0206] If a patient is diagnosed with AKI (acute kidney injury), an AKI label can be placed near or on label ①.

[0207] The treatment measures section ② can display treatment measures and diagnostic measures, such as 1. Treatment equipment: CRRT and usage duration; 2. Medication: diuretics, etc.

[0208] The kidney function section ③ can display test indicators, such as: 1. Fluid balance: 24-hour urine output, 24-hour CRRT ultrafiltration volume, 24-hour output, 24-hour total balance; 2. Kidney function test indicators, etc.

[0209] The liver function section ④ can display test indicators, such as 1. Child-Pugh score; 2. Functional test indicators, etc.

[0210] Settings tab ⑤ is used to add or remove columns, thereby personalizing the display area.

[0211] like Figure 10 As shown, the gastrointestinal and nutrition display area includes label A, weight column ①, nutrition column ②, treatment target column ③, imaging data column ④, nursing operation column ⑤, summary information column ⑥, and settings column ⑦. Columns ①-⑤ are used to display simplified medical data, and the summary information column ⑥ is used to display summary information.

[0212] The weight column ① displays the patient's personal information: weight.

[0213] Nutrition section ② can display diagnostic procedures: doctor's orders, such as the total amount of in-field nutrition and out-of-field nutrition within 24 hours.

[0214] The treatment goal section ③ displays the treatment goals set by the doctor based on the patient's condition (such as the target value) and statistical data on the achievement of these goals (such as the achievement rate, fluctuation range, and frequency of different values). Treatment goals can be calorie targets, calculated based on the prescribed nutritional fluids. They can also display actual calories, calculated based on the nutritional pump intake. Achievement rate = Actual calories / Prescribed calories %.

[0215] The image data section ④ can display image data, such as the measurement results of ultrasound images, such as gastric residual volume (ultrasound); intestines: large intestine / small intestine diameter (ultrasound), etc.

[0216] The nursing operation column ⑤ can display nursing operations, such as gastric discharge: XXml, from the latest nursing record.

[0217] Settings section ⑦ is used to add or remove columns, thereby personalizing the display area.

[0218] like Figure 11 As shown, the coagulation display area includes label A, treatment measures section ①, objective evaluation section ②, nursing operation section ③, summary information section ④, and settings section ⑤. Sections ② and ③ are used to display simplified medical data, and summary information section ④ is used to display summary information.

[0219] The Treatment Measures section ① can display treatment measures and diagnostic measures, such as 1. Medication: anticoagulants, antiplatelet drugs; 2. Blood transfusion: platelet transfusion, red blood cell transfusion, etc.

[0220] The objective evaluation section ② can display test indicators related to physiological structure (coagulation), such as APTT (activated partial thromboplastin time), TT (thrombin time), and PLT (platelet count).

[0221] The nursing operation column ③ can display nursing operations, such as the treatment and condition of various postoperative wounds.

[0222] Settings tab ⑤ is used to add or remove columns, thereby personalizing the display area.

[0223] like Figure 12 As shown, the Infection and Immunity display area includes the following sections: ① Identifier; ② Treatment Measures; ③ Objective Evaluation; ④ Source of Infection; ⑤ Nursing Procedures; ⑥ Summary Information; and ⑦ Settings. Sections ②-⑤ display simplified medical data, while section ⑥ displays summary information.

[0224] If a patient is diagnosed with sepsis, a label indicating sepsis can be placed near or on label ①.

[0225] The treatment measures section ② can display treatment measures and diagnostic measures, such as 1. Medication: Antibiotics (extracted from the doctor's prescription), etc.

[0226] The objective evaluation section ③ can display physiological parameters, medical scores, and test indicators related to physiological structure (infection and immunity), such as body temperature, △SOFA (comparing the two most recent SOFA scores), and test values: PCT, CRP, etc.

[0227] The "Source of Infection" column ④ can display the source of infection, such as viruses or bacteria, and the results can be extracted based on the test report.

[0228] The nursing operation column ⑤ can display nursing operations, such as the infection status of all tubing and the characteristics, color, and volume of secretions.

[0229] The settings section ⑦ is used to add or remove columns, thereby personalizing the display area. For example, a column can be added to display infection status, such as HIV, hepatitis B, syphilis, etc. (which can be extracted from NGS reports).

[0230] In some embodiments, the focus can be on treatment measures during medical procedures, as interventions (treatments) are frequently performed on patients. Therefore, the process of displaying the corresponding medical data can be as follows: Figure 14 As shown, it includes the following steps:

[0231] Step 4': The processor 50 acquires the patient's first-type medical data from a first-type medical data source device and the patient's second-type medical data from a second-type medical data source device via the communication module 70. The first-type medical data source device includes at least one of a monitoring device, a treatment device, an imaging device, and an in vitro diagnostic device; in this embodiment, it includes at least two of these four devices. The second-type medical data source device includes a treatment device. The first-type medical data reflects the patient's physiological condition, and the second-type medical data reflects the treatment measures received by the patient. Similarly, the acquired first-type medical data can be the patient's first-type medical data for a preset time period; the acquired second-type medical data can be the patient's second-type medical data for a preset time period. The second-type medical data source device can be the same as the third-type medical data source device, the difference being that the second-type medical data acquired by the processor 50 is not as comprehensive as the third-type medical data, mainly focusing on treatment data, reflecting the treatment measures received by the patient. Apart from this difference, other aspects of this step are the same as in Step 1 above, and will not be repeated here.

[0232] Step 5': The processor 50 obtains summary information on one or more physiological structures of the patient based on the patient's first-type and second-type medical data. The summary information on physiological structures includes: an overall conclusion on the physiological structure, details of treatment measures related to the physiological structure, and details of physiological data and / or changes related to the physiological structure. The details of treatment measures are obtained based on the second-type medical data, and the details of physiological data and / or changes are obtained based on the first-type medical data. The overall conclusion includes: a summary of the physiological structure's state, a summary of the treatment measures based on the details of the treatment measures, and a summary of the patient's condition based on the details of the physiological data and / or changes. Similarly, this embodiment uses the details of treatment measures and the details of changes in treatment measures as an example for illustration. The overall conclusion on the physiological structure may also include a preset time period. It is evident that this embodiment is more... Figure 4 The illustrated embodiment is more specific, presenting medical staff with summary information consisting of three summaries and two detailed explanations.

[0233] Similarly, summaries of treatment measures and disease progression are used to support the summary of physiological structural status from two different clinical dimensions. The summary of physiological structural status can include both stable and unstable physiological structures.

[0234] Similarly, details of treatment measures related to physiological structure are used to support the corresponding summary of treatment measures from a clinical perspective. Physiological data related to physiological structure and / or details of its changes are used to support the corresponding summary of the patient's condition from a clinical perspective.

[0235] As can be seen, changing "medical and nursing operations" to "treatment measures" and "third-class medical data" to "second-class medical data" in step 5 basically completes this step.

[0236] Similarly, there are two ways to process the summary of physiological structural state.

[0237] For example, processor 50 analyzes the patient's first type of medical data to obtain a summary of the condition; it analyzes the patient's second type of medical data to obtain a summary of the treatment measures; and it combines the summaries of the condition and the treatment measures to obtain a summary of the physiological structural state.

[0238] For example, the processor 50 inputs the patient's first-class medical data and second-class medical data into a pre-trained model to obtain a summary of one or more physiological structures of the patient output by the model.

[0239] The specific process for these processing methods is the same as step 5 above. The only difference is that the third type of medical data in step 5 is changed to the second type of medical data, and the medical and nursing operations are specified as treatment measures. These will not be elaborated here.

[0240] There are two ways to handle the summary of treatment measures.

[0241] For example, processor 50 analyzes the patient's second type of medical data to obtain details of treatment measures related to one or more physiological structures of the patient; analyzing the details of treatment measures related to physiological structures yields a summary of the treatment measures.

[0242] For example, processor 50 inputs the patient's second type of medical data into a pre-trained model to obtain details of treatment measures related to one or more physiological structures of the patient, as well as a summary of the treatment measures, from the model output.

[0243] Among the physiological structure summary information displayed, the treatment measures are summarized as one of the following five types: no treatment measures were taken, no change in treatment measures, adjustment of treatment measures, upgrading of treatment measures, and downgrading of treatment measures.

[0244] As can be seen, the specific processes of these two processing methods are the same as step 5, except for the differences between the third type of medical data and the second type of medical data, the differences between medical and nursing operations and treatment measures, and the fact that the summary of treatment measures is one less than the summary of medical and nursing operations. Therefore, they will not be elaborated here.

[0245] In this embodiment, the physiological data related to physiological structure and / or details of its changes, as well as the summary of the condition, are the same as in the previous embodiments, so the processing method is also the same, and will not be repeated here.

[0246] Step 6': The processor 50 displays summary information of one or more physiological structures in one or more display areas of the display interface of the display 60. For example, the overall conclusion of the physiological structure, details of treatment measures related to the physiological structure, and details of physiological data and / or changes related to the physiological structure can be displayed together, wherein the overall conclusion of the physiological structure can be displayed first, followed by details of treatment measures related to the physiological structure and details of physiological data and / or changes related to the physiological structure. The overall conclusion of the physiological structure can be text information.

[0247] Similarly, the processor 50 can simplify the first type of medical data and / or the second type of medical data to obtain simplified medical data for one or more physiological structures; then, in the display area that displays the summary information of the physiological structure, the simplified medical data of that physiological structure is also 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.

[0248] Similarly, this step is the same as step 6 except for the type of medical data (Category 3 and Category 2), medical procedures, and treatment measures. Other aspects are basically the same and will not be elaborated here.

[0249] As can be seen, this embodiment is... Figure 3 Further limitations of the illustrated embodiment include defining the third type of medical data as the second type of medical data, defining medical procedures as treatment measures, and other technical details as follows. Figure 3 The embodiments shown are the same and will not be described again here.

[0250] The second set of medical data required by the review interface covers a slightly longer time period than the first set of medical data required by the monitoring interface. Therefore, assessment information for corresponding physiological structures can be displayed in various areas of the review interface, allowing medical staff to see both a summary of the past period and the current assessment conclusions. The review and monitoring interfaces can also be switched using commands. For example, a user can issue a review command to trigger the system to execute... Figure 3 The process shown in Figure 14 will then display the patient's review interface. Of course, the user can also issue monitoring commands or select a display area on the review interface to trigger system execution. Figure 2 The process shown will redirect the display interface to the monitoring interface. This allows medical staff to effectively monitor patients, resulting in high work efficiency. In some embodiments of the invention, the same medical staff / other user can simultaneously log in to one or more embodiments of the above system. Medical staff / other users using a single system can also switch between systems in different embodiments and maintain data within the system.

[0251] This document describes various exemplary embodiments with reference to them. However, those skilled in the art will recognize that changes and modifications can be made to the exemplary embodiments without departing from the scope of this document. For example, various operational steps and components for performing operational steps can be implemented in different ways depending on the specific application or considering any number of cost functions associated with the operation of the system (e.g., one or more steps can be deleted, modified, or combined with other steps).

[0252] Furthermore, as those skilled in the art will understand, the principles herein can be reflected in a computer program product on a computer-readable storage medium pre-loaded with computer-readable program code. Any tangible, non-transitory computer-readable storage medium may be used, 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 may be loaded onto a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to form a machine, such that instructions, which execute on the computer or other programmable data processing apparatus, can generate means for performing a specified function. These computer program instructions may also be stored in a computer-readable storage medium that can instruct the computer or other programmable data processing apparatus to operate in a particular manner, such that instructions stored in the computer-readable storage medium can form an article of manufacture, including means for implementing the specified function. The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to perform a series of operational steps on the computer or other programmable apparatus to produce a computer-implemented process, such that instructions, which execute on the computer or other programmable apparatus, can provide steps for implementing the specified function.

[0253] While the principles herein have been illustrated in various embodiments, numerous modifications to the structure, arrangement, proportions, elements, materials, and components, particularly suited to specific environmental and operational requirements, may be used without departing from the principles and scope of this disclosure. These modifications and other alterations or alterations will be included within the scope of this document.

[0254] The foregoing specific descriptions have been described with reference to various embodiments. However, those skilled in the art will recognize that various modifications and changes can be made without departing from the scope of this disclosure. Therefore, considerations for this disclosure are to be illustrative rather than restrictive, and all such modifications are to be included within its scope. Similarly, advantages, other advantages, and solutions to problems with respect to various embodiments have been described above. However, benefits, advantages, solutions to problems, and any elements that produce these, or make them more explicit, should not be construed as critical, essential, or necessary. The term “comprising” and any other variations thereof as used herein are non-exclusive inclusion, meaning that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed or not part of the process, method, system, article, or apparatus. Furthermore, the term “coupled” and any other variations thereof as used herein refer to physical connections, electrical connections, magnetic connections, optical connections, communication connections, functional connections, and / or any other connections.

[0255] Those skilled in the art will recognize that many changes can be made to the details of the above embodiments without departing from the basic principles of the invention. Therefore, the scope of the invention should be determined according to the following claims.

Claims

1. A display method of medical data, characterized by, The method comprises: obtaining medical data of a patient; the medical data of the patient is obtained from a medical data source device, wherein the medical data source device comprises at least one of a monitoring device, a treatment device, an imaging device, and an in-vitro diagnosis device, when the medical data source device comprises the monitoring device, the medical data of the patient comprises monitoring data obtained from the monitoring device, when the medical data source device comprises the treatment device, the medical data of the patient comprises treatment data obtained from the treatment device, when the medical data source device comprises the imaging device, the medical data of the patient comprises imaging data obtained from the imaging device, and when the medical data source device comprises the in-vitro diagnosis device, the medical data of the patient comprises detection data obtained from the in-vitro diagnosis device; obtaining evaluation information of a physiological structure of the patient based on the medical data of the patient; the physiological structure comprises at least one of a physiological system of the patient, a feature of the physiological system, an organ, and a feature of the organ; the evaluation information comprises a conclusion of a specific angle and medical data information for supporting the conclusion of the specific angle from a clinical dimension, the medical data information being obtained based on the medical data of the patient; wherein the evaluation information at least comprises first evaluation information, in which the conclusion of the specific angle is a diagnosis and treatment measure suggestion, and the medical data information is medical data information for supporting the diagnosis and treatment measure suggestion from a clinical dimension; and displaying the evaluation information of the physiological structure on a display interface.

2. The method of claim 1, wherein, The evaluation information of the physiological structure further comprises at least one of second evaluation information, third evaluation information, and fourth evaluation information; wherein in the second evaluation information, the conclusion of the specific angle is a stability conclusion for reflecting a stability condition of the physiological structure, and the medical data information is medical data information for supporting the stability conclusion from a clinical dimension; in the third evaluation information, the conclusion of the specific angle is a risk early warning conclusion, and the medical data information is medical data information for supporting the risk early warning conclusion from a clinical dimension; and in the fourth evaluation information, the conclusion of the specific angle is a diagnosis conclusion, and the medical data information is medical data information for supporting the diagnosis conclusion from a clinical dimension.

3. The method of claim 1 or 2, wherein, The medical data information in the first evaluation information comprises a relationship between at least two key disease indicators and corresponding threshold values, and / or a change trend of at least one key disease indicator; the key disease indicators are obtained from the medical data or obtained by processing the medical data.

4. The method of claim 1, wherein, The diagnosis and treatment measure suggestion comprises one of prompt information for suggesting implementation of a diagnosis and treatment measure without giving a specific diagnosis and treatment measure, prompt information for suggesting implementation of a diagnosis and treatment measure with giving a specific diagnosis and treatment measure, and prompt information for suggesting stopping a current diagnosis and treatment measure.

5. The method of claim 1, wherein, The medical data source device further comprises a third-party system; when the medical data source device comprises the third-party system, the medical data of the patient comprises patient personal data and / or diagnosis and treatment data from the third-party system.

6. The method of claim 1, wherein, The diagnosis and treatment measure suggestion is text information.

7. The method of any one of claims 1-6, wherein, The evaluation information of the physiological structure of the patient is obtained based on the medical data of the patient, comprising: The medical data of the patient is analyzed to determine one or more target rules satisfied by the medical data; the evaluation information of the physiological structure corresponding to the one or more target rules is determined; the medical data information in the determined evaluation information at least comprises the one or more target rules; or, The medical data of the patient is input into a pre-trained model to obtain the evaluation information of the physiological structure of the patient output by the model.

8. The method of claim 2, wherein, The evaluation information of the physiological structure of the patient is obtained based on the medical data of the patient, comprising: At least one of the first evaluation information, the third evaluation information and the fourth evaluation information of the physiological structure of the patient is obtained based on the medical data of the patient; The second evaluation information is obtained by analyzing at least one of the first evaluation information, the third evaluation information and the fourth evaluation information.

9. The method of claim 1, wherein, The evaluation information of the physiological structure is displayed on the display interface, comprising: The evaluation information of the physiological structure is displayed on the monitoring interface of the physiological structure of the patient.

10. The method of claim 9, wherein, Further comprising: The medical data of the patient is simplified to obtain the simplified medical data of the physiological structure of the patient; The simplified medical data of the physiological structure comprises: physiological parameters related to the physiological structure, inspection indexes related to the physiological structure, scores related to the physiological structure, diagnosis and treatment measures related to the physiological structure, device parameters of treatment devices and statistical data of treatment target achievement; The simplified medical data of the physiological structure is further displayed on the monitoring interface of the physiological structure of the patient.

11. The method of claim 1, wherein, Comprising: Before displaying the evaluation information of the physiological structure on the display interface, the method further comprises: The first type of medical data of the patient in a preset time period is obtained from the first type of medical data source device, and the second type of medical data of the patient in the preset time period is obtained from the second type of medical data source 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; Based on the first type of medical data and the second type of medical data of the patient, summary information of one or more physiological structures of the patient is obtained; wherein the summary information of the physiological structure comprises: summary of the physiological structure state, summary of the treatment measures based on the change details of the treatment measures, and summary of the illness based on the physiological data and / or the change details thereof; The summary information of one or more physiological structures is displayed in a plurality of display areas of the display interface; The display area can be selected, and the evaluation information of the physiological structure is displayed on the display interface, comprising: The display interface displays an identification of the physiological structure.

12. The method of claim 11, wherein, The identification corresponds to the stability conclusion, and the display mode of the identification corresponding to the two stability conclusions of physiological structure stability and physiological structure instability is different.

13. The method of claim 2, wherein, Or, The identification corresponds to the risk warning conclusion, and the display mode of the identification corresponding to the existence of the risk warning conclusion and the non-existence of the risk warning conclusion is different. 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; the organ includes at least one of a brain, a heart, a lung, a liver, a stomach and a kidney; and the feature of the physiological system or the feature of the physiological organ includes coagulation, nutrition, infection or blood sugar. The method comprises:

14. The method of claim 1, wherein, acquiring medical data of a patient; 15. A method of displaying medical data, characterized by, The medical data of the patient is derived from a medical data source device, wherein the medical data source device comprises at least two of a monitoring device, a treatment device, an imaging device and an in-vitro diagnostic device; when the medical data source device comprises the monitoring device, the medical data of the patient comprises monitoring data derived from the monitoring device; when the medical data source device comprises the treatment device, the medical data of the patient comprises treatment data derived from the treatment device; when the medical data source device comprises the imaging device, the medical data of the patient comprises imaging data derived from the imaging device; and when the medical data source device comprises the in-vitro diagnostic device, the medical data of the patient comprises detection data derived from the in-vitro diagnostic device. ​ ​ obtain at least one of first evaluation information, second evaluation information, third evaluation information and fourth evaluation information of a physiological structure of the patient based on the medical data of the patient; the physiological structure comprises a physiological system, an organ, a feature of the physiological system or a feature of the organ of the patient; wherein the first evaluation information comprises a diagnosis and treatment measure suggestion and first medical data information for supporting the diagnosis and treatment measure suggestion from a clinical dimension, the second evaluation information comprises a stability conclusion for reflecting a stability condition of the physiological structure and second medical data information for supporting the stability conclusion from a clinical dimension, the third evaluation information comprises a diagnosis conclusion and third medical data information for supporting the diagnosis conclusion from a clinical dimension, and the fourth evaluation information comprises a risk early warning conclusion and fourth medical data information for supporting the risk early warning conclusion from a 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 the medical data of the patient; display at least one of the obtained first evaluation information, second evaluation information, third evaluation information and fourth evaluation information of the physiological structure of the patient on a display interface.

16. A medical data processing system characterized by comprising: comprise: a display; one or more communication interfaces 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 according to any one of claims 1-15.

17. A computer readable storage medium characterized by: the medium has a program stored thereon, which can be executed by a processor to implement the method according to any one of claims 1-15.

Images