Method for displaying medical data and life information processing system

Abstract

The invention discloses a method for displaying medical data and a life information processing system. The method comprises the following steps: acquiring various medical data of a medical object in one or more preset periods of time; extracting medical data corresponding to the plurality of clinical plates from the plurality of medical data, and analyzing the extracted medical data to obtain related information of the plurality of clinical plates; respectively displaying respective related information of the plurality of clinical plates in a plurality of display areas of the display interface; the related information of a plurality of clinical plates is displayed in a plurality of display areas of the display interface, and the related information comprises the steps that in the display area corresponding to at least one clinical plate, the corresponding medical data of the clinical plate is displayed in the display area corresponding to the clinical plate; and presenting the target value range of the medical data and the distribution condition of the actual values of the medical data through at least one graph so as to reflect the deviation between the distribution condition of the actual values and the target value range. According to the invention, the standard distribution condition of the medical data can be visually displayed.

Description

TECHNICAL FIELD

[0001] The present application relates to the medical technology field, more particularly to a method for displaying medical data and a life information processing system. BACKGROUND

[0002] With the development of clinical monitoring technology and the improvement of diagnosis and treatment means in the medical field, there are more and more data reflecting the state and symptoms of patients in the clinic. However, the increasing rich clinical data also brings new challenges to medical staff: medical staff need to search and aggregate data from different devices and systems to completely evaluate the patient's condition; finding key data useful for clinical analysis and treatment from massive data, whether it is aggregating a large amount of clinical data from multiple channels or searching for clinical diagnosis and treatment clues from massive data, consumes a large amount of time and energy of clinical medical staff, and reduces the diagnosis and treatment efficiency.

[0003] In some related technical clinical information systems, data is basically listed by system, which does not conform to the best observation habits of doctors, is not conducive to the convenient observation of doctors, and lacks the presentation of medical data analysis. More importantly, it is difficult for medical staff to intuitively see the relationship between the actual situation of the patient in a period of time and the expected situation of the medical staff in the panoramic interface of the patient, and it is difficult to make a good evaluation of the rehabilitation or treatment effect of the patient. SUMMARY

[0004] A series of simplified concepts are introduced in the summary section, which will be further described in detail in the specific embodiments section. The summary section of the present application does not mean to attempt to limit the key features and necessary technical features of the claimed technical solutions, nor to attempt to determine the protection scope of the claimed technical solutions.

[0005] The first aspect of the embodiment of the present application provides a method for displaying medical data, the method comprising:

[0006] obtaining a plurality of medical data of a medical object in a preset period or a plurality of periods;

[0007] extracting medical data corresponding to a plurality of clinical blocks from the plurality of medical data, and analyzing the extracted medical data to obtain relevant information of each of the plurality of clinical blocks, wherein at least two of the clinical blocks correspond to a physiological structure of the medical object, and the physiological structure includes a physiological system or an organ of the medical object;

[0008] displaying the relevant information of each of the plurality of clinical blocks in a plurality of display areas of a display interface, wherein the relevant information includes a target value range of at least one of the medical data and a distribution of an actual value of the medical data in a preset time period;

[0009] The display interface includes a plurality of display areas, and each of the plurality of display areas displays relevant information of a corresponding one of the plurality of clinical blocks.

[0010] In at least one of the display areas corresponding to the clinical blocks, for at least one of the medical data corresponding to the clinical block, a target value range of the medical data and a distribution of actual values of the medical data in the preset time period are presented by at least one graph, so as to reflect a deviation between the distribution of the actual values and the target value range.

[0011] The second aspect of the embodiment of the present application provides a method for displaying medical data, and the method includes:

[0012] Obtaining a plurality of medical data of a medical subject in a preset time period or a plurality of preset time periods;

[0013] Obtaining a target value range of the medical data;

[0014] At least for one of the plurality of medical data, the target value range of the medical data and a distribution of actual values of the medical data in the preset time period are presented by at least one graph in a display interface, so as to reflect a deviation between the distribution of the actual values and the target value range.

[0015] The third aspect of the embodiment of the present application provides a life information processing system, which includes a memory, a processor and a display. The memory is used to store an executable program. The processor is used to execute the executable program, so that the processor executes the method as described above. The processor is also used to control the display to output a display interface.

[0016] The method for displaying medical data and the life information processing system according to the embodiments of the present application present the target value range of medical data and the distribution of the actual value in the display area by graphics, so as to reflect the deviation of the distribution of the actual value from the target value range, and enable medical staff to intuitively understand the distribution of the medical data, and determine the health state of the physiological structure of the medical object corresponding to the medical data, and better provide the medical staff with feedback of the treatment target. In addition, the present application extracts medical data corresponding to each of the clinical blocks from the plurality of medical data, analyzes the extracted medical data, and obtains relevant information of each of the clinical blocks, so as to automatically integrate and refine the medical data information required by clinical medical staff, and present the medical data information to the user in a structured layout and a visual expression, reduce the time of the user searching for the target data, and release more energy for data analysis and interpretation and other clinical treatment activities, so as to better focus on the patient and improve the diagnosis and treatment efficiency. On the other hand, the present application can also record and analyze the correlation automatically through accumulation of clinical big data, so as to improve the accuracy of information refinement and better assist clinical decision-making. BRIEF DESCRIPTION OF DRAWINGS

[0017] The above and other objects, features and advantages of the present application will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings in which:

[0018] Figure 1 A schematic flow chart of a method for displaying medical data according to one embodiment of the present application is shown.

[0019] Figure 2 A schematic diagram of a display interface according to one embodiment of the present application is shown.

[0020] Figure 3 A schematic diagram of a nervous system block according to one embodiment of the present application is shown.

[0021] Figure 4 A schematic diagram of a circulatory system block according to one embodiment of the present application is shown.

[0022] Figure 5 A schematic diagram of a respiratory system block according to one embodiment of the present application is shown.

[0023] Figure 6 A schematic diagram of a liver and kidney function block according to one embodiment of the present application is shown.

[0024] Figure 7A schematic diagram showing the gastrointestinal tract and nutrition block according to one embodiment of the application.

[0025] Figure 8 A schematic diagram showing the coagulation block according to one embodiment of the application.

[0026] Figure 9 A schematic diagram showing the infection and immunity block according to one embodiment of the application.

[0027] Figure 10 A schematic flow diagram showing a method of displaying medical data according to another embodiment of the application.

[0028] Figure 11 A schematic block diagram showing a vital information processing system according to one embodiment of the application. DETAILED DESCRIPTION

[0029] In order to make the objects, technical solutions and advantages of the present application more obvious, the following will describe the example embodiments according to the present application in detail with reference to the drawings. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application described in the present application, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present application.

[0030] In the following description, a large number of specific details are given in order to provide a more thorough understanding of the present application. However, it should be apparent to those skilled in the art that the present application can be practiced without one or more of these details. In other instances, well-known features have not been described in detail in order to avoid obscuring the present application.

[0031] It should be understood that the present application can be implemented in different forms and should not be interpreted as being limited to the embodiments set forth herein. Rather, these embodiments are provided so that the disclosure will be thorough and complete, and will fully convey the scope of the present application to those skilled in the art.

[0032] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and / or "comprising", when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0033] For a thorough understanding of the present application, reference will be made to the following detailed description, taken in conjunction with the accompanying drawings, in which:

[0034] The following will be described with reference to the drawings. Figure 1 A method for displaying medical data according to an embodiment of the present application is described. Figure 1 is a schematic flowchart of a method 100 for displaying medical data according to an embodiment of the present application.

[0035] As shown in Figure 1 The method 100 for displaying medical data according to an embodiment of the present application includes the following steps:

[0036] In step S101, a plurality of medical data of a medical subject in a preset time period or time periods is acquired;

[0037] In step S102, medical data corresponding to each of a plurality of clinical blocks is extracted from the plurality of medical data, and the extracted medical data is analyzed to obtain relevant information of each of the plurality of clinical blocks, wherein at least two clinical blocks correspond to a physiological structure of the medical subject, and the physiological structure includes a physiological system or an organ of the medical subject;

[0038] In step S103, the relevant information of each of the plurality of clinical blocks is displayed in a plurality of display areas of a display interface, and the relevant information includes a target value range of at least one medical data and a distribution of actual values of the medical data in the preset time period;

[0039] In step S103, the relevant information of each of the plurality of clinical blocks is displayed in a plurality of display areas of a display interface, and the relevant information includes a target value range of at least one medical data and a distribution of actual values of the medical data in the preset time period;

[0040] In the display area corresponding to at least one clinical block, for at least one medical data corresponding to the clinical block, the target value range of the medical data and the distribution of actual values thereof are presented by at least one graph to reflect the deviation of the distribution of actual values from the target value range.

[0041] The method 100 for displaying medical data according to the embodiments of the present application can be applied to an interface of a monitoring device or a hospital software system such as a clinical new system, and a distribution of an actual value of medical data and a target value range of the medical data is presented in a display area by a graph, so that a deviation between the distribution of the actual value and the target value range is embodied, and a medical staff can intuitively understand a distribution of a medical data meeting a standard, and thus can determine a health state of a physiological structure of a medical subject corresponding to the medical data, and better provide a treatment target feedback for the medical staff. Moreover, the present application extracts medical data corresponding to a plurality of clinical blocks from a plurality of medical data, analyzes the extracted medical data, and obtains relevant information of the plurality of clinical blocks, so as to automatically integrate and refine medical data information required by a clinical medical staff, and presents the medical data information to a user by a structured layout and a visual expression, reduces a time of searching and finding a target data of the user, releases more energy on data analysis and interpretation and other clinical treatment activities, and thus better focuses on a patient and improves a diagnosis and treatment efficiency. On the other hand, the present application can also record and analyze the relevance by accumulation of clinical big data, so as to improve an accuracy of information refinement and better assist clinical decision-making.

[0042] The plurality of medical data of the medical subject can be obtained from specific medical devices, or from certain medical systems or application programs. In some embodiments, the medical devices include monitoring devices, treatment devices, examination devices, and third-party systems, etc. The monitoring devices include monitors, the treatment devices include ventilators, infusion pumps, extracorporeal circulation devices, etc., the examination devices include ultrasonic imaging systems, endoscope systems, etc., and the third-party systems include PACS systems (picture archiving and communication systems), LIS systems (laboratory information systems), CIS systems (clinical information systems), central stations, etc. The medical data includes monitoring data obtained from the monitoring devices, treatment data obtained from the treatment devices, examination data obtained from the examination devices, laboratory data obtained from the third-party systems or other data integrated by the third-party systems (the data can be obtained from the monitoring devices, the treatment devices, and then transmitted to an execution subject (such as an interface of a monitoring device or a hospital software system such as a clinical new system) of the present application by the third-party systems), etc., and specifically can include various physiological parameters, biochemical examination result data, image data, medical order or case data or information, user-manually-inputted clinical evaluation data or information, etc. Exemplarily, the plurality of medical data of the medical subject can be obtained from at least one medical device, at least two medical devices, or a larger number of medical devices.

[0043] The one or more preset time periods can be fixed time periods, such as 24 hours, 48 hours, etc., or the one or more preset time periods can be set by a user. Exemplarily, as shown in FIG. 1, the one or more preset time periods can be set by a user through a time setting interface 101. Figure 2As shown, the display area includes a time panel 208 in which a collection time period of the medical data is displayed. By integrating and displaying the medical data in one or more time periods, the state of the medical subject can be more complete and comprehensive compared to simply displaying real-time monitoring data. Specifically, the medical data in one or more time periods can be selected according to the time stamp of the medical data. For example, if there is no medical data of certain types in the one or more time periods, for example, certain laboratory examination data can have no examination results within 24 hours, the most recently acquired medical data of the type can be selected for subsequent data processing.

[0044] After acquiring the medical data, the medical data can be classified to determine the clinical panel corresponding to each type of medical data. Specifically, the medical data can be labeled according to the type of medical data corresponding to the clinical panel, thereby realizing data classification. The clinical panel is a presentation mode that conforms to the diagnosis and treatment habits of clinical personnel based on their thinking logic. Through the clinical panel, multi-source data can be classified, integrated, analyzed, and presented in a structured manner.

[0045] The clinical panel can correspond to a physiological structure of the medical subject, and the physiological structure includes a physiological system or an organ of the medical subject. For example, the physiological system includes at least one of a motor system, a nervous system, an endocrine system, a circulatory system, a respiratory system, a digestive system, a urinary system, and a reproductive system; and the organ includes at least one of a brain, a heart, a lung, a liver, a stomach, and a kidney. In other embodiments, the physiological structure can also include a physiological site, a tissue, a feature of a physiological system, or a feature of a physiological organ. For example, the physiological site includes at least one of a head, a chest, and an abdomen; the tissue includes at least one of muscle tissue, nerve tissue, and epithelial tissue; and the feature of the physiological system or the feature of the physiological organ includes at least one of an intake and output, coagulation, nutrition, infection, blood sugar, and a medical event. Different physiological structures correspond to different clinical panels, and a user can expand or change the clinical panel according to actual needs. For example, a clinical panel corresponding to intake and output and a clinical panel corresponding to the kidney can be combined into a clinical panel corresponding to the kidney and intake and output, or a new clinical panel corresponding to sedation and analgesia can be added.

[0046] For example, in the display interface of FIG. 2A, the clinical panels include a nervous system panel 201 corresponding to the nervous system, a circulatory system panel 202 corresponding to the circulatory system, a respiratory system panel 203 corresponding to the respiratory system, a liver and kidney function panel 204 corresponding to the liver and the kidney, a gastrointestinal tract and nutrition panel 205 corresponding to the gastrointestinal tract and nutrition, an intake and coagulation panel 206 corresponding to intake and coagulation, and an infection and immunity panel 207 corresponding to infection and immunity. The information of different clinical panels is presented in an independent manner, for example, in the display interface of FIG. 2A, the information of the nervous system panel 201 is presented in the form of a graph, the information of the circulatory system panel 202 is presented in the form of a graph, the information of the respiratory system panel 203 is presented in the form of a graph, the information of the liver and kidney function panel 204 is presented in the form of a graph, the information of the gastrointestinal tract and nutrition panel 205 is presented in the form of a graph, the information of the intake and coagulation panel 206 is presented in the form of a graph, and the information of the infection and immunity panel 207 is presented in the form of a graph. Figure 2 For example, in the display interface of FIG. 2A, the clinical panels include a nervous system panel 201 corresponding to the nervous system, a circulatory system panel 202 corresponding to the circulatory system, a respiratory system panel 203 corresponding to the respiratory system, a liver and kidney function panel 204 corresponding to the liver and the kidney, a gastrointestinal tract and nutrition panel 205 corresponding to the gastrointestinal tract and nutrition, an intake and coagulation panel 206 corresponding to intake and coagulation, and an infection and immunity panel 207 corresponding to infection and immunity. The information of different clinical panels is presented in an independent manner, for example, in the display interface of FIG. 2A, the information of the nervous system panel 201 is presented in the form of a graph, the information of the circulatory system panel 202 is presented in the form of a graph, the information of the respiratory system panel 203 is presented in the form of a graph, the information of the liver and kidney function panel 204 is presented in the form of a graph, the information of the gastrointestinal tract and nutrition panel 205 is presented in the form of a graph, the information of the intake and coagulation panel 206 is presented in the form of a graph, and the information of the infection and immunity panel 207 is presented in the form of a graph.Figure 2 Each clinical block corresponds to an independent card. In addition, different clinical blocks can also be distinguished by different colors, or distinguished by boundary lines, etc. The display content corresponding to each clinical block will be described in detail below with reference to Figures 3-9 .

[0047] After the medical data corresponding to each clinical block is extracted, the medical data is analyzed to obtain the relevant information of each clinical block. Specifically, the medical data corresponding to the nervous system block is analyzed to obtain the relevant information of the nervous system block; the medical data corresponding to the respiratory system block is analyzed to obtain the relevant information of the respiratory system block; the medical data corresponding to the circulatory system block is analyzed to obtain the relevant information of the circulatory system block; the medical data corresponding to the liver and kidney function block is analyzed to obtain the relevant information of the liver and kidney function block; the medical data corresponding to the gastrointestinal and nutrition block is analyzed to obtain the relevant information of the gastrointestinal and nutrition block; the medical data corresponding to the bleeding and clotting block is analyzed to obtain the relevant information of the bleeding and clotting block; the medical data corresponding to the infection and immunity block is analyzed to obtain the relevant information of the infection and immunity block.

[0048] Afterwards, the relevant information of each of the plurality of clinical blocks is displayed in a plurality of areas of the display interface. One clinical block corresponds to one display area, and the relevant information of the clinical block corresponding thereto is displayed in each display area. For example, the relevant information of the nervous system block is displayed in the display area corresponding to the nervous system block, the relevant information of the respiratory system block is displayed in the display area corresponding to the respiratory system block, the relevant information of the circulatory system block is displayed in the display area corresponding to the circulatory system block, the relevant information of the liver and kidney function block is displayed in the display area corresponding to the liver and kidney function block, the relevant information of the gastrointestinal and nutrition block is displayed in the display area corresponding to the gastrointestinal and nutrition block, the relevant information of the bleeding and clotting block is displayed in the display area corresponding to the bleeding and clotting block, and the relevant information of the infection and immunity block is displayed in the display area corresponding to the infection and immunity block.

[0049] In some embodiments, the relevant information includes a target value range for at least one type of medical data and the actual value distribution of that medical data within a preset time period. The target value range of the medical data typically refers to the expected normal range of an indicator recognized within the professional field for its effectiveness, safety, or performance evaluation in a specific medical monitoring or treatment indicator. The actual value of the medical data refers to the specific numerical value or result obtained through medical testing, monitoring, or recording. The actual value of the medical data reflects the health status of the patient and serves as the basis for medical decisions and treatment. In practice, multiple actual values ​​of medical data can be obtained within a preset time period, and these multiple actual values ​​can demonstrate the actual distribution of the medical data within that time period.

[0050] Furthermore, in the display area corresponding to at least one clinical module, the distribution of the target value range and actual values ​​of at least one type of medical data corresponding to that clinical module can be graphically presented to demonstrate the deviation between the distribution of actual values ​​and the target value range. This deviation can manifest in three ways: all actual values ​​of the medical data fall within the target value range; none of the actual values ​​fall within the target value range; and only some of the actual values ​​fall within the target value range. The deviation where all actual values ​​fall within the target value range indicates that the physiological structure of the patient is normal; the deviation where none of the actual values ​​fall within the target value range indicates that the physiological structure of the patient is abnormal; and the deviation where only some of the actual values ​​fall within the target value range indicates that the patient is in a sub-healthy state. In this embodiment, the distribution of actual values ​​of medical data and the deviation from the target value range of medical data are shown by displaying a graphic, so that medical staff can intuitively understand the distribution of the medical data in accordance with the target. This allows them to determine the health status of the physiological structure of the medical object corresponding to this type of medical data, and better provide medical staff with feedback on treatment goals.

[0051] In some embodiments, the target value range and the distribution of actual values ​​of the medical data can be presented graphically. That is, the target value and the actual value of the medical data together form a graph. By observing the area occupied by the target value and the area occupied by the actual value in the graph, the deviation between the distribution of the actual value and the target value range can be visually demonstrated. For example, when multiple actual values ​​of a medical data point are all distributed within the target value range, the deviation can be displayed as the target value of the medical data occupying the entire area of ​​the graph, the actual values ​​occupying a portion of the graph, and the area occupied by the actual values ​​overlapping with the area occupied by some of the target values. When multiple actual values ​​of a medical data point are not distributed within the target value range, the deviation can be displayed as the target value occupying a portion of the graph, the actual values ​​occupying another portion of the graph, and the areas occupied by the target values ​​and the actual values ​​not overlapping. When multiple actual values ​​of a medical data point are only partially distributed within the target value range, the deviation can be displayed as the target value occupying a portion of the graph, the actual values ​​occupying a portion of the graph, and the area occupied by some of the actual values ​​overlapping with the area occupied by some or all of the target values.

[0052] In other embodiments, the distribution of the target value range and the actual values ​​of the medical data can be presented using two separate graphs. That is, the target values ​​of the medical data form one graph, and the actual values ​​form another. By observing the areas occupied by the two graphs, the deviation between the distribution of the actual values ​​and the target value range can be visually demonstrated. For ease of description, let's assume the target values ​​form graph A and the actual values ​​form graph B. If all the actual values ​​of the medical data fall within the target value range, it can be displayed as graph B partially or completely overlapping graph A in a specified direction. If none of the actual values ​​fall within the target value range, it can be displayed as graph B not overlapping graph A in a specified direction. If only a portion of the actual values ​​fall within the target value range, it can be displayed as a portion of graph B partially or completely overlapping graph A in a specified direction.

[0053] It is understandable that, whether presenting the target value range and the distribution of actual values ​​of this type of medical data through a single graph, or through two separate graphs, there are various options for the specific image style. For example, bar charts, pie charts, etc., can be used to present the target value range and the distribution of actual values ​​of this type of medical data. Preferably, for the actual values ​​of medical data, a bar chart can be used to present the distribution of actual values, with each bar representing an actual value. Using a bar chart to display the distribution of actual values ​​not only provides a visual understanding of the deviation between the distribution of actual values ​​and the target value range, but also allows for the specific determination of the numerical value of each actual value based on the scale bars in the bar chart.

[0054] In some embodiments, in the graphics used to present the distribution of actual values, different visual effects can be used to represent the varying frequencies of occurrence of the actual values. Display elements corresponding to actual values ​​that occur more frequently can be presented with a darker color, and vice versa, using a lighter color to visually represent the frequency of each actual value. These different visual effects can refer to different colors, different shades of the same color, different levels of clarity, etc., and are not limited to any particular type. For example, using different colors to represent the varying frequencies of occurrence of actual values, on the visible light color axis, colors are presented in descending order of wavelength: red, orange, yellow, green, blue, indigo, and violet. Display elements corresponding to actual values ​​that occur more frequently can be represented by a color that leans more towards violet, and vice versa. Similarly, using different shades of the same color to represent the varying frequencies of occurrence of actual values, display elements corresponding to actual values ​​that occur more frequently have a darker color, and vice versa. Taking the different frequencies of actual values ​​appearing through different resolutions as an example, the higher the frequency of an actual value, the higher the resolution of the corresponding display element, and vice versa.

[0055] In some embodiments, actual values ​​falling within and outside the target value range can be presented using different display methods, allowing for a clear understanding of which actual values ​​fall within and which do not. These different display methods can include different colors, different shades of the same color, different levels of clarity, etc., and are not limited thereto. For example, a first color can be used to display the scale bars corresponding to actual values ​​falling within the target value range, and a second color can be used to display the scale bars corresponding to actual values ​​not falling within the target value range; another example is that a first shade of the same color can be used to display the scale bars corresponding to actual values ​​falling within the target value range, and a second shade of the same color can be used to display the scale bars corresponding to actual values ​​not falling within the target value range; yet another example is that a first level of clarity can be used to display the scale bars corresponding to actual values ​​falling within the target value range, and a second level of clarity can be used to display the scale bars corresponding to actual values ​​not falling within the target value range.

[0056] It is worth noting that different visual effects and display methods can be combined to simultaneously represent the frequency of actual values ​​and whether they fall within the target value range. For example, when displaying the scale bar corresponding to actual values ​​falling within the target value range using the first color, a darker shade of the first color can be used to display the scale bar corresponding to actual values ​​that appear more frequently. Here, the first color represents that the actual value falls within the target value range, and the shade of the first color represents the frequency of the actual value. Similarly, when displaying the scale bar corresponding to actual values ​​that do not fall within the target value range using the second color, a darker shade of the second color can be used to display the scale bar corresponding to actual values ​​that appear more frequently. Here, the second color represents that the actual value does not fall within the target value range, and the shade of the second color represents the frequency of the actual value.

[0057] This is a key highlight of the plan, designed to help healthcare professionals better understand the discrepancy between target and actual heart rates. For example, suppose the target heart rate is 60-100. Patient A has 90% of their actual heart rate within this range. However, the graph shows that the bars near the upper limit of the target (100) are very dark, with most of these dark bars concentrated around 100. Another patient, B, has 85% of their actual heart rate within the target range, with the darker bars more evenly distributed between 70-80. Clearly, patient B is significantly better off than patient A. However, without showing the frequency of target values, healthcare professionals cannot determine which patient is better, and might even arrive at the opposite conclusion.

[0058] In some embodiments, in addition to displaying the distribution of the target value range and actual values ​​of the medical data through at least one graph, the at least one graph may also display the minimum and maximum values ​​of the actual values, and / or the minimum and maximum values ​​of the target values. The minimum and maximum values ​​may correspond to the endpoints, boundary lines, etc., of the graph, and are not limited thereto. Taking the presentation of the target value range and the distribution of its actual values ​​through the same graph as an example, for the graph area corresponding to the target value range, the first end of the area corresponds to the minimum target value, and the second end corresponds to the maximum target value; for the graph area corresponding to the actual values, the first end of the area corresponds to the minimum actual value, and the second end corresponds to the maximum actual value.

[0059] For example, for the nervous system module 201, there are corresponding medical data such as MAP (Microtubule-Associated Proteins) and Temp (Temperature). Figure 3 As shown, in the nervous system section 201, one graph presents the target value range and actual value distribution of the medical data MAP, and another graph presents the target value range and actual value distribution of the medical data Temp. Taking the medical data MAP as an example... Figure 3 The distribution of actual values ​​is presented in a bar chart, with each bar representing an actual value. For each bar, bars falling within the target value range are displayed in blue, while those not falling within the target range are displayed in gray. For bars falling within the target value range, bars corresponding to more frequently occurring values ​​are displayed in a darker blue, and bars not falling within the target value range are displayed in a darker gray. Furthermore, below the graph in the medical data distribution area 2015, the minimum and maximum values ​​of the actual values, as well as the minimum and maximum target values, are also displayed. The target value range and actual value distribution of the medical data Temp can be found in the explanation of medical data MAP above, and will not be repeated here.

[0060] For the circulatory system segment 202, there are corresponding medical data such as HR (Heart Rate) and SBP (Systolic Blood Pressure). For example... Figure 4As shown, in the loop system section 202 displayed on the interface, one graph presents the target value range and actual value distribution of medical data HR, and another graph presents the target value range and actual value distribution of medical data SBP. The target value range and actual value distribution of medical data HR and SBP can be found in the explanation of medical data MAP above, and will not be repeated here.

[0061] For the respiratory system section 203, there is corresponding medical data such as SpO2 (Saturation of Pulse Oximetry). For example... Figure 5 As shown, in the respiratory system section 203 displayed on the interface, a graph presents the target range and actual value distribution of medical data SpO2. The description of the target range and actual value distribution of medical data SpO2 can be found in the explanation of medical data MAP above, and will not be repeated here.

[0062] In some embodiments, the relevant information also includes the compliance rate of the medical data within a preset time period. Generally, presenting the target value range and the distribution of actual values ​​of medical data graphically can only qualitatively determine the compliance distribution of the medical data. In this embodiment, displaying the compliance rate in the display area allows medical staff to quantitatively understand the compliance status of the medical data. For example, the compliance rate can be displayed at any suitable location in the display area. For instance, when the target value range and the distribution of actual values ​​of the medical data are presented graphically, the compliance rate can be presented in the appendix of the graph, for example, in text form, so that medical staff can easily observe the compliance status of the medical data.

[0063] Some specific examples of how the compliance rate is displayed are as follows: Figure 3 Above the two bar charts, the compliance rates for medical data MAP and medical data such as body temperature (Temp) are also displayed respectively; Figure 4 Above the two bar charts, the compliance rates for HR (Healthcare Data) and SBP (Healthcare Business Processing) are also displayed; Figure 5 Above the bar chart, the achievement rate of SpO2 in medical data is also displayed. In some embodiments, such as... Figure 7 As shown, in the Gastrointestinal and Nutrition section, the following information is also displayed in its target treatment area: Required calories, calculated according to a formula; Prescribed calories: calculated based on the prescribed nutritional solution; Actual calories: calculated based on the amount of nutrition pumped in; Target achievement rate, which is calculated as: Actual calories / Prescribed calories * 100%. Enteral nutrition (EN), parenteral nutrition (PN), and prescribed calories are also displayed in the same graphic (e.g., bar chart, pie chart, or other suitable image).

[0064] In some embodiments, the relevant information also includes icons of physiological structures corresponding to the clinical modules. The display of relevant information for each of the multiple clinical modules in multiple display areas of the display interface further includes: displaying icons corresponding to physiological structures in a normal state and icons corresponding to physiological structures in an abnormal state in different ways. For example, icons corresponding to physiological structures in a normal state can be displayed in blue, and icons corresponding to physiological structures in an abnormal state can be displayed in red. Of course, other display methods can also be used to distinguish between icons corresponding to physiological structures in a normal state and icons corresponding to physiological structures in an abnormal state; this is not limited. For example, as... Figure 3 As shown, the icon 2011 corresponds to the nervous system in a normal state; if it is abnormal, it is displayed in red. For example, as... Figure 5 As shown in the respiratory system section 203, icons corresponding to the nervous system when it is in a normal state are displayed; if it is not normal, it can be displayed in red.

[0065] In some embodiments, if a patient is diagnosed with a predetermined disease, the predetermined disease can be identified near the icon corresponding to the physiological structure (e.g., by characters, graphics, etc.). For example, for the respiratory system module, if a patient is diagnosed with ARDS, ARDS is identified near the icon corresponding to the respiratory system. Similarly, if acute kidney injury (AKI) is diagnosed, an AKI label is used. And if a patient is diagnosed with sepsis, a sepsis label is used to alert healthcare personnel to the patient's condition.

[0066] In some embodiments, the relevant information also includes a data summary, which at least includes information on changes in medical data. The data summary is a summary of the medical data analysis and processing, and can better reflect the health status and changes in the physiological structure of the medical subject. For example, in the nervous system section, the data summary may include changes in GCS scores, Ramsay scores, etc.; in the circulatory system section, the data summary may include Killip classifications, etc.

[0067] For example, such as Figure 3As shown, in the nervous system section 202, the summary information of the data status of the nervous system section (specifically, the change information of medical data in the nervous system section 2012) includes at least one of the following: within a preset time period: the change in the GCS score; the change in the Ramsay score; and the update status of the imaging report. The GCS score is a commonly used tool for assessing the degree of coma in patients. This scoring system mainly assesses three aspects: eye-opening response, verbal response, and limb movement. A higher GCS score indicates a better state of consciousness; a lower score indicates a more severe degree of coma. The Ramsay score can be used to assess the sedation status of patients receiving anesthesia or sedation. Imaging reports can visually demonstrate any abnormalities or lesions in the brain, spinal cord, or other neural structures, and are important tools for medical staff in disease diagnosis, treatment planning, and disease monitoring. Optionally, the preset time period can be reasonably set according to actual conditions, such as 1 day, 2 days, or other suitable time periods. Alternatively, the preset time period can also be non-fixed; for example, the change in score can refer to the change in the most recent score compared to the previous score. In some embodiments, the data summary information in the nervous system section may also include the latest explanation of changes in the nervous system condition, unequal pupil size, and the conclusion of the most recent head imaging report.

[0068] like Figure 4 As shown, in the circulatory system section 202, the data summary information of the circulatory system section (specifically, the change information of medical data in the circulatory system section 2022) includes at least one of the following: changes in Killip classification within a preset time period; changes in heart rate and related medications; changes in systolic blood pressure and related medications. The Killip classification is a clinical tool used to assess the cardiac function of patients with acute myocardial infarction, categorized based on the patient's symptoms, signs, and chest X-ray results. Changes in heart rate and systolic blood pressure can be presented as trend charts, for example, showing the trend of data changes within a preset time period. For example, the data summary information of the circulatory system section may also include at least one of the following: the latest explanation of changes in the circulatory system condition, etc.

[0069] like Figure 5 As shown, in the respiratory system section 203, the data summary information for the respiratory system section (specifically, the change information of medical data in the respiratory system section 2032) includes at least one of the following: within a preset time period: the change in oxygenation index, the amount of oxygenation index before the change, and the amount after the change; the average data reflecting the risk of lung injury; and the update status of imaging reports. Optionally, it may also include: the latest explanation of changes in respiratory system condition, the conclusion of the most recent lung imaging report, etc.

[0070] like Figure 9As shown, in the Infection and Immunity section 207, the relevant information in the Infection and Immunity section (specifically, the change information of medical data in the Infection and Immunity section 2072) also includes the change in the SOFA score over a preset time period. The SOFA score is a clinical tool used to assess the severity of organ dysfunction and systemic inflammatory response syndrome (SIRS) in patients. This scoring system helps physicians determine the severity of a patient's condition and prognosis by monitoring the function of multiple organ systems.

[0071] In some embodiments, the data summary information may also include statistical results of medical data. These statistical results may include evaluations of the physiological structure and vital signs of the medical subject, and are not limited thereto.

[0072] In some embodiments, such as Figure 7 As shown, the summary information on the gastrointestinal and nutrition data can also include information on the number of days of on-site nutritional support.

[0073] In some embodiments, such as Figure 8 As shown, the data summary information in the coagulation section can also include reminders on whether the patient's coagulation function meets the surgical requirements. These reminders can be obtained by comparing the preoperative coagulation test values ​​with the surgical requirements.

[0074] In some embodiments, the relevant information also includes scoring data and / or grading data calculated based on medical data to reflect the macroscopic status of the medical patient. Different scoring data and / or grading data may exist for different clinical modules of medical data. For example, ... Figure 3 As shown, the scoring data and / or grading data for the nervous system section in 2013 may include GCS scores, Ramsay scores, etc.; Figure 4 As shown, the scoring data and / or grading data of the Circulation System section 2023 may include killip grading.

[0075] In some embodiments, the relevant information also includes nursing record information related to the care of the medical patient. Nursing record information is used to record the patient's condition and nursing interventions during treatment, so that others can understand the specific treatment situation of the medical patient. Different nursing interventions exist for different physiological structures of the medical patient. For example, such as... Figure 3 As shown, the nursing record information in the nervous system section 2014 may include the name, drainage volume, nature, color, etc. of brain-related drainage tubes; such as... Figure 4 As shown, the nursing record information in the circulatory system section 2024 can include relevant changes in body position, bed elevation, etc.; for example... Figure 5As shown, the nursing record information 2034 in the respiratory system section may include the name, drainage volume, nature, and color of the relevant drainage tubes, as well as related changes in body position, bed elevation, etc.; for example... Figure 7 As shown, the nursing record 2054 in the gastrointestinal and nutrition section may include information such as gastric retention data; for example... Figure 8 As shown, the nursing record information 2064 in the coagulation and clotting section can include postoperative wound bleeding, etc.; for example... Figure 9 As shown, the nursing record information 2074 in the Infection and Immunity section may include the status of tube infection and the characteristics, color, and volume of secretions.

[0076] In some embodiments, the relevant information also includes information on support devices used when applying support equipment to a medical patient. Support equipment refers to medical devices used to support, maintain, or improve a patient's health condition, and may include essential medical equipment such as ventilators, anesthesia machines, hemodialysis machines, monitors, and defibrillators. Different support devices are typically used for different physiological structures of the medical patient. Figure 4 As shown, the supporting equipment information 2025 in the circulatory system section may include extracorporeal membrane oxygenation (ECMO) devices and their modes, intra-aortic balloon pump (IABP) devices, pulse indicator continuous cardiac output (PiCCO) devices, pacemakers and their modes, etc.; Figure 5 As shown, the respiratory system section's support equipment information 2035 includes ventilators and their modes, oxygen concentration, intubation / mask, etc.; Figure 6 As shown, the supporting device information 2045 in the liver and kidney function section may include continuous renal replacement therapy (CRRT) devices and their usage duration.

[0077] In some embodiments, the relevant information also includes information on the intervention methods used when applying interventions to a medical subject. Intervention methods refer to various diagnostic and treatment measures, including medications, surgery, laboratory tests, radiological examinations, psychotherapy, and social interventions. These intervention methods aim to diagnose, treat, or prevent diseases, and to improve or maintain the patient's physical and mental health. Different intervention methods are typically used for different physiological structures of the medical subject. For example... Figure 3 As shown, the intervention information in the nervous system section can include the use of medications, specifically, using drug identification such as analgesics, sedatives, antiepileptics, and dehydrating agents, without needing specific drug names and dosage information; such as... Figure 4As shown, the intervention information in the circulatory system section can include medication, synchronized cardioversion, fluid resuscitation, etc. For medications, the type of medication can be identified (vasoactive drugs, drugs for treating heart failure, antiarrhythmic drugs, anticholinergic drugs), without needing specific drug names and dosages; such as... Figure 5 As shown, the intervention information in the respiratory system section can include tracheotomy, chest physical therapy: bronchoscopy, manual / assisted sputum clearance, etc.; such as Figure 6 As shown, intervention information in the liver and kidney function section may include the use of medications, such as diuretics; for example... Figure 8 As shown, intervention methods for treating plaque buildup can include the use of medications (e.g., anticoagulants, antiplatelet drugs), and blood transfusions: platelet transfusions, red blood cell transfusions, etc.; Figure 9 As shown, information on intervention methods in the infection and immunity section may include the use of drugs, etc.

[0078] In some embodiments, the relevant information also includes medication information for the specific medical patient. Different medications are typically used for different physiological structures of the medical patient. For example... Figure 3 As shown, the medication information in the nervous system section of 2016 can include the type of medication, such as analgesics, sedatives, antiepileptics, and dehydrating agents; for example... Figure 4 As shown, the medication information in the circulatory system section 2026 can include the type of medication, such as vasoactive drugs, drugs for treating heart failure, antiarrhythmic drugs, anticholinergic drugs, etc.; the medication information in the liver and kidney function section can include the type of medication, such as diuretics; such as Figure 8 As shown, the medication information 2066 for coagulation plaques can include the type of medication, such as anticoagulants, antiplatelet drugs, etc.; for example... Figure 9 As shown, the medication information 2076 in the Infection and Immunity section can include the type of medication, such as antibiotics.

[0079] In some embodiments, a personalization settings icon may also be displayed in at least one display area. Users interact by clicking the personalization settings icon, and the display interface responds to the user's click, customizing the display layout and / or content of the display area according to the user's needs. For example, when a user wants to close a clinical section, they can delete that section from the display interface; when a user wants to adjust the position of a clinical section, they can drag it to a specified position. Furthermore, users can also adjust the display order and size of the clinical sections through interactive operations, without limitation. Specifically, each clinical section can have a personalization settings icon, such as... Figure 3 As shown, users can personalize the display layout and / or content of the nervous system section by interacting with the personalization settings icon 2017.

[0080] In some embodiments, such as Figure 2 As shown, a human body diagram 209 is also displayed on the interface to indicate the physiological state of the medical subject. The physiological state includes, but is not limited to, abnormal states. The physiological state can be determined based on data processing results or input by the user. The human body diagram 209 can be a full-body diagram, a half-body diagram, etc., which can display multiple human organs or systems, or it can only display the organs or systems corresponding to the target clinical section, the organs or systems currently exhibiting abnormal states, or the organs or systems selected by the user. This embodiment of the invention does not limit the specific form of the human body diagram 209.

[0081] For example, the human body diagram 209 can be displayed at the center of the display interface, and at least some of the display areas corresponding to the target clinical sections are displayed in association with the corresponding physiological structure icons in the human body diagram 209. This association can include positional associations, such as the nervous system section being adjacent to the nervous system location, the respiratory system section being adjacent to the lung location, and the liver and kidney function section being adjacent to the liver and kidney locations. In some embodiments, leader lines can also be used to represent the correspondence between the physiological structure icons in the human body diagram 209 and the clinical sections.

[0082] For example, the human body diagram 209 includes at least one of the following: vascular system markings, surgical incision markings, and skin condition markings. Vascular system markings are typically used to represent the human vascular system, including arteries, veins, and capillaries. In the human body diagram 209, arteries, veins, and capillaries can be represented by lines of different thicknesses and colors. Additionally, the human body diagram 209 may also mark other vascular systems, such as the trachea, esophagus, and intestines, which are typically represented by white or light-colored lines. Surgical incision markings are typically used to indicate the sites where incisions are made during surgery. These markings usually use different colors and shapes to represent different surgical types and sites; for example, a vertical red line can represent a midline sternal incision, two parallel red lines can represent an intercostal incision, a red "X" can represent a lobectomy incision, a red "C" can represent a cardiac surgery incision, and a red "E" can represent an esophageal surgery incision, etc. Skin condition markers are typically used to indicate the color, texture, and lesions of the skin. These markers usually use different colors and symbols to represent different skin conditions. For example, black or brown spots can represent skin pigmentation, red spots can represent skin erythema, small transparent circles can represent skin blisters, white lines or patches can represent skin scars, and flesh-colored bumps can represent skin warts.

[0083] In some embodiments, users can obtain specific information by interacting with tube markers, surgical incision markers, skin condition markers, etc., displayed on the human body diagram 209. For example, when the cursor corresponding to the user's interaction device hovers over a tube marker, or when a tube marker is clicked, information related to the tube marker is displayed. This information includes at least one of the following: intubation site, intubation time, and whether the tube has been replaced. Taking the user clicking on the trachea displayed on the human body diagram 209 with the mouse as an example, after clicking, the display interface can show the tracheal intubation site, intubation time, and whether the tube has been replaced.

[0084] In some embodiments, users can manipulate the human body diagram 209 to view the locations of injuries on the front, back, and left and right sides of the human body. If descriptions of the injury sites were entered beforehand, these descriptions can be viewed while manipulating the human body diagram 209.

[0085] For example, the operation mode may include rotating the human body image 209, that is, rotating the human body image 209 when a rotation operation is received; the operation mode may also include unfolding the human body image 209, that is, when an unfolding operation is received, displaying views of the human body image 209 in at least two directions on the same screen, such as displaying the front and back at the same time.

[0086] In some embodiments, for the nervous system section, such as Figure 3 As shown, it can also display scores, test values, vital signs data, etc.

[0087] In some embodiments, for the circulation system module, such as Figure 4 As shown, it can also display scores, test values, vital sign data, and ultrasound examination results, such as circulatory-related ultrasound examination results; optionally, when using support equipment, it can also display parameter data related to the support equipment, such as ECMO, the parameter data related to the support equipment include rotation speed, blood flow, pre- and post-membrane pressure, etc.

[0088] In some embodiments, such as Figure 5 As shown, the respiratory system section can also display scores, test values, vital signs data, etc.

[0089] In some embodiments, such as Figure 6As shown, the liver and kidney function section can also provide information related to kidney function. For example, kidney function-related information includes laboratory indicators such as creatinine levels and fluid balance information such as urine output (24-hour urine output can be provided), fluid intake and output, CRRT ultrafiltration volume, or total fluid balance. For instance, fluid intake and output can be automatically acquired or manually entered by the user. Information related to fluid intake and output includes fluid intake and output, where fluid intake includes total 24-hour intake and the amount of fluid pumped into the body by the infusion pump within 24 hours. Further, fluid intake can also include dietary fluid intake, etc. Fluid output includes 24-hour urine output, 24-hour drainage volume, and fluid output from other equipment. Fluid output can also include fluid output from sweating, excretion, vomiting, and bleeding.

[0090] In some embodiments, such as Figure 6 As shown, the liver and kidney function section can also provide liver function-related parameters, such as the Child-Pugh score, functional test indicators (e.g., total bilirubin (TBil), direct bilirubin (DBil), ALT generally refers to alanine aminotransferase, etc.), and can also indicate whether the functional test indicators are elevated or decreased relative to the standard indicators.

[0091] In some embodiments, such as Figure 7 As shown, the gastrointestinal and nutrition section also displays patient information such as patient weight, which can be obtained directly from the nursing system or through direct user input. In some embodiments, the gastrointestinal and nutrition section also displays the total amount of nutrient solution, which can be obtained through medical orders and may include the total amount of in-field and out-of-field nutrition within 24 hours. In still other embodiments, it may also display the results of examinations affecting the patient's gastrointestinal organs, such as ultrasound evaluation results: stomach: gastric residual volume (ultrasound); intestine: large intestine / small intestine diameter (ultrasound), small intestinal bleeding status.

[0092] In some embodiments, such as Figure 8 As shown, the coagulation panel is also used to display coagulation test indicators such as activated partial thromboplastin time (APTT), thrombin time (TT), and platelet count (PLT).

[0093] In some embodiments, such as Figure 9 As shown, the Infection and Immunity section also displays the patient's infection information, test values, source of infection, and infection status. Infection information includes, but is not limited to: body temperature, ΔSOFA (comparing the two most recent SOFA scores), test values ​​include, but are not limited to: CRP (C-reactive protein) and PCT (procalcitonin), sources of infection include, but are not limited to: viruses and bacteria, which can be extracted from test reports, and infection status includes, but is not limited to: HIV, hepatitis B, syphilis (extracted from NGS reports), etc.

[0094] In summary, the method 100 for displaying medical data in this embodiment of the invention graphically presents the target value range and the distribution of actual values ​​of medical data within a display area. This reflects the deviation between the distribution of actual values ​​and the target value range, allowing medical staff to intuitively understand the distribution of medical data meeting standards. This enables them to determine the health status of the physiological structure of the patient corresponding to the medical data, providing better feedback on treatment goals. Furthermore, this application extracts medical data corresponding to multiple clinical modules from various medical data sources and analyzes the extracted data to obtain relevant information for each clinical module. This automatically integrates and refines the medical data information needed by clinical medical staff and presents it to users through a structured layout and visual presentation. This reduces the time users spend searching for target data, freeing up more energy for clinical treatment activities such as data analysis and interpretation, thus better focusing on patients and improving diagnostic and treatment efficiency. On the other hand, this application can also automatically record and analyze correlations through the accumulation of clinical big data, thereby improving the accuracy of information extraction and better assisting clinical decision-making.

[0095] like Figure 10 As shown, another aspect of the present invention provides a method 300 for displaying medical data, the method 300 including the following steps:

[0096] In step S301, various medical data of the medical subject are acquired within a preset period of time or multiple periods.

[0097] In step S302, the target value range of the medical data is obtained;

[0098] In step S303, for at least one type of medical data among multiple types of medical data, the target value range of the medical data and the distribution of the actual value of the medical data within a preset time period are presented on the display interface through at least one graphic, so as to reflect the deviation between the distribution of the actual value and the target value range.

[0099] The main difference between this embodiment and the previous embodiment is that this embodiment focuses on one type of medical data among multiple types of medical data. The target value range of this type of medical data and the distribution of the actual value of this type of medical data within a preset time period are presented on the display interface through at least one graphic.

[0100] Multiple medical data can correspond to multiple medical data in the same system or multiple medical data obtained from different clinical modules. The target value range of the medical data and the distribution of the actual value of the medical data within a preset time period are presented on the display interface through at least one graphic. Clinical modules can be divided and displayed in the corresponding display area of ​​the clinical module, or clinical modules can not be divided and displayed in one or more display areas of the display interface. No specific limitation is made here.

[0101] For example, the target value range of the medical data and the distribution of the actual values ​​of the medical data within a preset time period are presented in the display interface through at least one graphic, including: in the graphic used to present the distribution of the actual values, different visual effects are used to present the different frequencies of the actual values, thereby intuitively reflecting the frequency of each actual value.

[0102] For example, different visual effects can be used to represent the varying frequencies of actual values, including using darker colors to represent display elements corresponding to more frequently occurring actual values. For instance, display elements representing more frequently occurring actual values ​​can be represented with darker colors, while those representing less frequently occurring values ​​can be represented with lighter colors. This difference in color intensity helps differentiate the frequency of actual values, making it easier for medical staff to observe.

[0103] For example, the target value range of the medical data and the distribution of the actual values ​​of the medical data within a preset time period are presented on the display interface through at least one graph, including: presenting the distribution of the actual values ​​in the form of a bar chart, where each scale bar in the bar chart represents an actual value.

[0104] For example, the target value range of the medical data and the distribution of the actual values ​​of the medical data within a preset time period are presented on the display interface through at least one graphic, including: presenting the actual values ​​that fall within the target value range and the actual values ​​that do not fall within the target value range through different display methods.

[0105] For example, presenting actual values ​​that fall within the target value range and actual values ​​that do not fall within the target value range through different display methods includes: displaying the scale bar corresponding to the actual value that falls within the target value range in a first color, and displaying the scale bar corresponding to the actual value that does not fall within the target value range in a second color.

[0106] For example, displaying the scale bar corresponding to the actual value falling within the target value range in a first color includes: displaying the scale bar corresponding to the actual value that appears more frequently in a darker first color; and / or displaying the scale bar corresponding to the actual value that does not fall within the target value range in a second color includes: displaying the scale bar corresponding to the actual value that appears more frequently in a darker second color.

[0107] For example, the display interface presents the target value range of the medical data and the distribution of the actual values ​​of the medical data within a preset time period through at least one graph, including: presenting the target value range of the medical data and the distribution of its actual values ​​through a graph.

[0108] For example, the display interface presents the target value range of the medical data and the distribution of the actual value of the medical data within a preset time period through at least one graph, including: presenting the target value range of the medical data and the distribution of its actual value through two graphs respectively.

[0109] For example, the display interface presents the target value range of the medical data and the distribution of the actual values ​​of the medical data within a preset time period through at least one graph, including: displaying the minimum and maximum values ​​of the actual values ​​in at least one graph, and / or displaying the minimum and maximum values ​​of the target values ​​in at least one graph.

[0110] Furthermore, in some embodiments, the method of this application further includes: displaying the compliance rate of the medical data within a preset time period. For example, displaying the compliance rate of the medical data within a preset time period includes: displaying the compliance rate of the medical parameters next to a graph.

[0111] For example, acquiring various medical data of a medical subject over a preset period of time includes: acquiring medical data from at least two medical devices.

[0112] For more specific details regarding method 300 for displaying medical data, please refer to the relevant description of method 100 for displaying medical data, which will not be repeated here.

[0113] The method 300 for displaying medical data in this embodiment of the invention presents the target value range and the distribution of actual values ​​of medical data in a display area through graphics. This reflects the deviation between the distribution of actual values ​​and the target value range, allowing medical staff to intuitively understand the distribution of medical data that meets the standards. This enables them to determine the health status of the physiological structure of the medical object corresponding to the medical data, and better provide medical staff with feedback on treatment goals.

[0114] This invention also provides a life information processing system for implementing the above-described method 100 for displaying medical data. See also...Figure 11 The life information processing system 1000 includes a memory 1001, a processor 1002, and a display 1003; the memory 1001 is used to store various medical data of the medical object; the processor 1002 is used to execute the above-mentioned method 100 for displaying medical data to obtain medical data corresponding to at least two target clinical sections; the processor 1002 is also used to control the display 1003 to display the medical data corresponding to at least two target clinical sections in the display interface, wherein the medical data corresponding to different target clinical sections are displayed in different display areas.

[0115] The life information processing system 1000 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, and a mobile terminal. The life information processing system can be a portable life information processing system, a transportable life information processing system, or a mobile life information processing system. The life information processing system 100 can also be other devices besides monitoring equipment, such as image acquisition equipment, treatment and support equipment, information systems (e.g., CIS, HIS, shift handover software, decision support systems, etc.), and mobile terminals (e.g., ward round vehicles).

[0116] In one embodiment, the life information processing system 1000 can be a patient monitor used to monitor the parameters of a medical subject in real time. The monitor connects to other medical devices or third-party systems via a communication module to obtain various medical data about the patient. The life information processing system 1000 may also include a central station for receiving monitoring data sent by the monitors and centrally monitoring the data. The central station connects monitors in one or more departments via a network to achieve real-time centralized monitoring and massive data storage. For example, the central station stores monitoring data, basic patient information, medical history information, and diagnostic information, but is not limited to these.

[0117] In some embodiments, the monitor and the central station can form an interconnected platform via BeneLink to enable data communication between them. For example, the central station can access the monitoring data detected by the monitor. In other embodiments, the monitor and the central station can also establish a data connection via a communication module, including but not limited to Wi-Fi, Bluetooth, or 2G, 3G, 4G, and 5G mobile communication modules.

[0118] The processor 1002 of the life information processing system 1000 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. The processor 1002 is the control center of the life information processing system 1000, connecting all parts of the life information processing system 1000 via various interfaces and lines.

[0119] The display 1003 is used to provide a visual display output to the user. Specifically, the display 1003 can be used to provide a visual display interface to the user, including but not limited to a monitoring interface, a monitoring parameter setting interface, an alarm parameter interface, and an alarm parameter setting interface, etc. The display interface provided by the display 1003 includes at least the aforementioned first display interface. For example, the display 1003 can be implemented as a touch display, or a display 1003 with an input panel, that is, the display 1003 can function as an input / output device.

[0120] The memory 1001 is used to store various medical data of the medical object associated with the life information processing system 1000. The memory 1001 also stores program code, which the processor 1002 uses to call the program code in the memory 1001 to execute the steps in the following display method. The memory 1001 may primarily include a program storage area and a data storage area, wherein the program storage area may store the operating system, multiple application programs required for various functions, etc. Furthermore, the memory 1001 may include high-speed random access memory, and may also include non-volatile memory, such as hard disks, RAM, plug-in hard disks, smart memory cards, secure digital cards, flash memory cards, multiple disk storage devices, flash memory devices, or other volatile solid-state storage devices.

[0121] In some embodiments, the life information processing system 1000 further includes sensors. The sensors and processor 1002 can be connected via wired or wireless communication protocols to enable data interaction between them. Wireless communication technologies include, but are not limited to, various generations of mobile communication technologies (2G, 3G, 4G, and 5G), wireless networks, Bluetooth, ZigBee, ultra-wideband (UWB), NFC, etc. Specifically, the sensors are used to collect monitoring data from the medical subject. The monitoring data may include, but is not limited to, one or more vital sign parameters selected from electrocardiogram (ECG), respiration, pulse oxygen saturation, heart rate, blood oxygen saturation, non-invasive blood pressure, and invasive blood pressure. In some embodiments, the sensors may be independently located outside the life information processing system 1000, but detachably connected to it. The processor 1002 is also used to process the monitoring data signals from the sensors. In other embodiments, the life information processing system 1000 may not include sensors, and the life information processing system 1000 may receive monitoring data collected by external monitoring accessories via a communication module.

[0122] The life information processing system 1000 may further include a communication module connected to the processor 1002. In some embodiments, the life information processing system 1000 can establish data communication with other medical devices or third-party devices through the communication module. The processor 1002 also controls the communication module to acquire data from third-party devices or to send vital sign monitoring data collected by sensors to third-party devices. The communication module includes, but is not limited to, Wi-Fi, Bluetooth, NFC, ZigBee, UWB, or mobile communication modules such as 2G, 3G, 4G, and 5G. In other embodiments, the life information processing system 1000 may also establish a connection with third-party devices via cables.

[0123] In some embodiments, the life information processing system 1000 further includes an alarm module connected to the processor 1002, used to output alarm prompts so that medical personnel can perform corresponding rescue measures. The alarm module includes, but is not limited to, alarm lights, alarm speakers, etc. Alarm information can be displayed on a monitor, alerted to medical personnel by flashing alarm lights, or played through an alarm speaker, etc.

[0124] In order to realize user interface and data exchange, in addition to display 1003, life information processing system 1000 may also include other input / output devices connected to processor 1002, including but not limited to input devices such as keyboard, mouse, touch screen, remote control, etc., and output devices including but not limited to printer, speaker, etc.

[0125] It should be understood that, Figure 11This is merely an example of the components included in the life information processing system 1000 and does not constitute a limitation on the life information processing system 1000. Furthermore, the monitoring device 100 may include components beyond those specified in the original text. Figure 11 The system may include additional components, combinations of certain components, or different components. For example, the life information processing system 1000 may also include a power module, a positioning and navigation device, a printing device, etc. The methods 100 and 300 for displaying medical data executed by the life information processing system 1000 have been described above and will not be repeated here. The life information processing system 1000 of this embodiment classifies and displays various medical data of a medical subject according to clinical modules. Compared with the display method based on data source, this is more in line with actual clinical needs. Furthermore, different module combination templates can be selected for different medical subjects or different clinical medical personnel, so that the display method of medical data meets personalized needs.

[0126] Furthermore, according to embodiments of the present invention, a storage medium is also provided, on which program instructions are stored, which, when executed by a computer or processor, are used to perform corresponding steps of the method for displaying medical data according to embodiments of the present invention. The storage medium may, for example, include a memory card of a smartphone, a storage component of a tablet computer, a hard disk of a personal computer, a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a portable compact disc read-only memory (CD-ROM), a USB memory, or any combination of the above storage media. The computer-readable storage medium may be any combination of one or more computer-readable storage media.

[0127] Although exemplary embodiments have been described herein with reference to the accompanying drawings, it should be understood that the above exemplary embodiments are merely illustrative and are not intended to limit the scope of the invention. Various changes and modifications can be made therein by those skilled in the art without departing from the scope and spirit of the invention. All such changes and modifications are intended to be included within the scope of the invention as claimed in the appended claims.

[0128] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0129] In the several embodiments provided by this invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed.

[0130] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0131] Similarly, it should be understood that, in order to streamline the invention and aid in understanding one or more of the various aspects of the invention, features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof in the description of exemplary embodiments of the invention. However, this approach should not be construed as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as reflected in the corresponding claims, its inventive point lies in solving the corresponding technical problem with fewer features than all of those in a single disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into that detailed description, wherein each claim itself is a separate embodiment of the invention.

[0132] Those skilled in the art will understand that, apart from the mutual exclusion of features, all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or apparatus so disclosed can be combined in any combination. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.

[0133] Furthermore, those skilled in the art will understand that although some embodiments described herein include certain features but not others included in other embodiments, combinations of features from different embodiments are intended to be within the scope of the invention and form different embodiments. For example, in the claims, any of the claimed embodiments can be used in any combination.

[0134] The various component embodiments of the present invention can be implemented in hardware, or as software modules running on one or more processors, or a combination thereof. Those skilled in the art will understand that microprocessors or digital signal processors (DSPs) can be used in practice to implement some or all of the functions of some modules according to embodiments of the present invention. The present invention can also be implemented as an apparatus program (e.g., a computer program and computer program product) for performing some or all of the methods described herein. Such programs implementing the present invention can be stored on a computer-readable medium, or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.

[0135] It should be noted that the above embodiments are illustrative of the invention and not restrictive, and that those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The invention can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names.

[0136] The above description is merely a specific embodiment of the present invention or an explanation of that embodiment. The scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. The scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method of displaying medical data, characterized by, The method comprises: acquiring a plurality of medical data of a medical subject in a preset time period or a plurality of time periods; extracting medical data corresponding to a plurality of clinical blocks from the plurality of medical data, and analyzing the extracted medical data to obtain relevant information of each of the plurality of clinical blocks, wherein at least two of the clinical blocks correspond to a physiological structure of the medical subject, and the physiological structure comprises a physiological system or an organ of the medical subject; displaying the relevant information of each of the plurality of clinical blocks in a plurality of display areas of a display interface, wherein the relevant information comprises a target value range of at least one of the medical data and a distribution of actual values of the medical data in a preset time period; wherein the displaying the relevant information of each of the plurality of clinical blocks in the plurality of display areas of the display interface comprises: in at least one of the display areas corresponding to the clinical blocks, presenting the target value range and the distribution of the actual values of at least one of the medical data corresponding to the clinical blocks by at least one graph to reflect the deviation of the distribution of the actual values from the target value range.

2. The method of claim 1, wherein, The relevant information further comprises a compliance rate of the medical data in the preset time period.

3. The method of claim 1, wherein, The presenting the target value range and the distribution of the actual values of the medical data by at least one graph comprises: presenting the different frequency of the actual values by different visual effects in the graph for presenting the distribution of the actual values.

4. The method of claim 3, wherein, The presenting the different frequency of the actual values by different visual effects comprises: presenting the display elements corresponding to the actual values with higher frequency by visual effects with darker colors.

5. The method of any one of claims 1 to 4, wherein, The presenting the target value range and the distribution of the actual values of the medical data by at least one graph comprises: presenting the distribution of the actual values by a bar graph, and each scale bar in the bar graph represents an actual value.

6. The method of any one of claims 1 to 4, wherein, The presenting the target value range and the distribution of the actual values of the medical data by at least one graph comprises: presenting the actual values falling within the target value range and the actual values not falling within the target value range by different display modes.

7. The method of claim 6, wherein, The presenting the actual values falling within the target value range and the actual values not falling within the target value range by different display modes comprises: displaying the scale bars corresponding to the actual values falling within the target value range in a first color, and displaying the scale bars corresponding to the actual values not falling within the target value range in a second color.

8. The method of claim 7, wherein, The displaying the scale bars corresponding to the actual values falling within the target value range in the first color comprises: displaying the scale bars corresponding to the actual values with higher frequency in a darker first color; and / or The displaying the scale bars corresponding to the actual values not falling within the target value range in the second color comprises: displaying the scale bars corresponding to the actual values with higher frequency in a darker second color.

9. The method of any one of claims 1 to 4, wherein, The presenting the target value range and the distribution of the actual values of the medical data by at least one graph comprises: presenting the target value range and the distribution of the actual values of the medical data by one graph.

10. The method of any one of claims 1 to 4, wherein, The target value range and the actual value distribution of the medical data are presented by at least one graph.

11. The method of any one of claims 1 to 4, wherein, The target value range and the actual value distribution of the medical data are presented by at least one graph.

12. The method of claim 1, wherein, The related information further includes data situation summary information, and the data situation summary information at least includes variation information of the medical data.

13. The method of claim 12, wherein, The data situation summary information further includes statistical result information of the medical data.

14. The method of claim 1, wherein, The related information further includes nursing record information related to nursing of the medical object.

15. The method of claim 1, wherein, The related information further includes at least one of the following: support equipment information for use of support equipment by the medical object, intervention means information for use of intervention means by the medical object, and medication information for use of medication by the medical object.

16. The method of claim 1, wherein, The related information further includes score data and / or grading data calculated based on the medical data.

17. The method of claim 1, wherein, The related information further includes an icon of a physiological structure corresponding to the clinical block, and the displaying of the related information of each of the plurality of clinical blocks in the plurality of display areas of the display interface further includes: displaying the icon of the physiological structure in a normal state and the icon of the physiological structure in an abnormal state in different manners.

18. The method of claim 1, wherein, The method further includes: displaying a personalized setting icon in at least one of the display areas, so as to realize personalized setting of display layout and / or display content of the display area according to user demand.

19. The method of claim 1, wherein, The method further includes: displaying a human body diagram on the display interface, and the human body diagram includes at least one of the following: a pipeline identifier, a surgical incision identifier, and a skin condition identifier.

20. The method of claim 19, wherein, The method further includes: displaying information related to the pipeline identifier when a cursor corresponding to a user interaction device stays at the pipeline identifier, or when the pipeline identifier is clicked, and the information related to the pipeline identifier includes at least one of the following: a cannula site, a cannula time, and whether the pipeline is replaced.

21. The method of claim 20, wherein, The related information of at least one of the clinical blocks further includes data situation summary information, and the data situation summary information includes the information related to the pipeline identifier.

22. The method of claim 19, wherein, The method further includes: When a rotation operation on the human body diagram is received, the human body diagram is rotated; and / or when an unfolding operation on the human body diagram is received, views of the human body diagram in at least two directions are displayed on the same screen.

23. The method of claim 1, wherein, The plurality of clinical blocks include a nervous system block, a respiratory system block, a circulatory system block, a liver and kidney function block, a gastrointestinal and nutrition block, a coagulation block, and an infection and immunity block.

24. The method of claim 23, wherein, In the nervous system block, the related information of the nervous system block further includes data situation summary information, and the data situation summary information includes at least one of the following: within a preset time: a change amount of a GCS score; a change amount of a Ramsay score; and an update situation of an image report.

25. The method of claim 23, wherein, In the circulatory system block, the related information of the circulatory system block further includes data situation summary information, and the data situation summary information includes at least one of the following: within a preset time: a change situation of a killip classification; a change amount of a heart rate and a related medication situation; and a change amount of a systolic pressure and a related medication situation.

26. The method of claim 23, wherein, In the respiratory system block, the related information of the respiratory system block further includes data situation summary information, and the data situation summary information includes at least one of the following: within a preset time: a change amount of an oxygenation index, an amount before a change of the oxygenation index, and an amount after the change; a data mean reflecting a risk of lung injury; and an update situation of an image report.

27. The method of claim 23, wherein, In the infection and immunity block, the related information of the infection and immunity block further includes a change amount of a SOFA score within a preset time.

28. The method of any one of claims 1 to 27, wherein, The obtaining of the medical data of the medical subject within one or more preset time periods includes: obtaining the medical data from at least two medical devices.

29. A method of displaying medical data, characterized by, The method includes: obtaining medical data of a medical subject within one or more preset time periods; obtaining a target value range of the medical data; at least for one kind of medical data in the medical data, presenting, on a display interface, the target value range of the kind of medical data and a distribution situation of an actual value of the kind of medical data within a preset time period by at least one graph, so as to reflect a deviation of the distribution situation of the actual value from the target value range.

30. The method of claim 29, wherein, presenting, on a display interface, the target value range of the kind of medical data and the distribution situation of the actual value of the kind of medical data within a preset time period by at least one graph, includes: in a graph for presenting the distribution situation of the actual value, presenting different frequent degrees of the actual values by different visual effects.

31. The method of claim 30, wherein, the presenting of different frequent degrees of the actual values by different visual effects includes: presenting display elements corresponding to the actual values of higher frequent degrees by visual effects of deeper colors.

32. The method of any one of claims 29 to 31, wherein, the presenting, on a display interface, the target value range of the kind of medical data and the distribution situation of the actual value of the kind of medical data within a preset time period by at least one graph, includes: presenting the distribution situation of the actual value in a manner of a bar graph, and each scale bar in the bar graph represents an actual value.

33. The method of any one of claims 29 to 31, wherein, the presenting, on a display interface, the target value range of the kind of medical data and the distribution situation of the actual value of the kind of medical data within a preset time period by at least one graph, includes: presenting actual values falling within the target value range and actual values not falling within the target value range by different display modes.

34. The method of claim 33, wherein, The actual values falling within the target value range and the actual values not falling within the target value range are presented by different display modes, including: displaying the scale bar corresponding to the actual value falling within the target value range in a first color, and displaying the scale bar corresponding to the actual value not falling within the target value range in a second color.

35. The method of claim 34, wherein, The scale bar corresponding to the actual value falling within the target value range is displayed in a first color, including: the scale bar corresponding to the actual value with a higher frequency of occurrence is displayed in a deeper first color. And / or The scale bar corresponding to the actual value not falling within the target value range is displayed in a second color, including: the scale bar corresponding to the actual value with a higher frequency of occurrence is displayed in a deeper second color.

36. The method of any one of claims 29 to 31, wherein, The target value range of the medical data and the distribution of the actual value of the medical data in a preset time period are presented by at least one graph on the display interface, including: the target value range of the medical data and the distribution of the actual value of the medical data are presented by one graph.

37. The method of any one of claims 29 to 31, wherein, The target value range of the medical data and the distribution of the actual value of the medical data in a preset time period are presented by at least one graph on the display interface, including: the target value range of the medical data and the distribution of the actual value of the medical data are presented by two graphs respectively.

38. The method of any one of claims 29 to 31, wherein, The target value range of the medical data and the distribution of the actual value of the medical data in a preset time period are presented by at least one graph on the display interface, including: the minimum and maximum values of the actual value are displayed on the at least one graph, and / or the minimum and maximum values of the target value are displayed on the at least one graph.

39. The method of any one of claims 29 to 31, wherein, The method further comprises: Displaying the compliance rate of the medical data in the preset time period.

40. The method of claim 36, wherein, Displaying the compliance rate of the medical data in the preset time period, including: displaying the compliance rate of the medical parameter beside the graph.

41. The method of any one of claims 29 to 40, wherein, The medical data of the medical subject in a preset time period or multiple time periods is obtained, including: the medical data is obtained from at least two medical devices.

42. A life information processing system characterized by comprising: The life information processing system comprises a memory, a processor and a display, the memory is used to store executable programs, the processor is used to execute the executable programs, so that the processor executes the method as claimed in any one of claims 1-41, and the processor is further used to control the display to output a display interface. The life information processing system comprises a memory, a processor and a display, the memory is used to store executable programs, the processor is used to execute the executable programs, so that the processor executes the method as claimed in any one of claims 1-41, and the processor is further used to control the display to output a display interface.

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