Disease condition data processing method and system based on dual-path time axis, and computer equipment

Abstract

The invention relates to an illness state data processing method and system based on a double-path time axis and computer equipment, and the method comprises the steps: periodically collecting illness state feedback data from a patient, converting the illness state feedback data into first structural data, converting the first structured data into first identification data according to the severity of the illness state; periodically collecting illness state diagnosis data from a doctor, converting the illness state diagnosis data into second structured data, and converting the second structured data into second identification data according to the illness state severity; respectively outputting the first identification data and the second identification data according to the time sequence of each period by using the first display identification and the second display identification of the same type for comparison display. The first display identifier and the second display identifier enable a doctor to rapidly obtain state information of disease change in a visual manner, so that the doctor can conveniently and timely discover a disease deterioration trend to adjust a treatment scheme.

Description

Technical Field

[0001] This application relates to the field of medical data processing, and particularly to a method and system for processing disease condition data based on a dual-path timeline, as well as a computer device. Background Art

[0002] The core of medical activities is the doctor, and the quality of medical care depends on the timeliness of the doctor's understanding of the disease condition and the accuracy of disease judgment. After a hospitalized patient is admitted, there is a series of medical care processes, including medical history collection, examinations, tests, nursing, etc., which provide information for the doctor to complete the diagnosis basis, change trend, and treatment response of the patient's disease.

[0003] Currently, there are some systems that provide pre-diagnosis consultation systems, or introduce AI-assisted tools such as large language models to answer questions about the medical information provided by patients. However, such systems mainly belong to consultation, which is used to guide patients for triage and reduce the communication burden. However, for patients during clinical diagnosis, especially for the treatment process of critically ill and potentially deteriorating patients, it is difficult for doctors to conduct high-frequency bedside observations and communications, resulting in the easy omission and delayed discovery of the change information of many diseases in the initial trace stage. Summary of the Invention

[0004] Based on this, in view of the above technical problems, it is necessary to provide a method for processing disease condition data based on a dual-path timeline.

[0005] The method for processing disease condition data based on a dual-path timeline in this application is characterized by including:

[0006] Periodically collect disease condition feedback data from the patient side, convert the disease condition feedback data into first structured data, and convert the first structured data into first identification data according to the severity of the disease condition;

[0007] Periodically collect disease condition diagnosis data from the doctor side, convert the disease condition diagnosis data into second structured data, and convert the second structured data into second identification data according to the severity of the disease condition;

[0008] Respectively use the same type of first display identifier and second display identifier for the first identification data and the second identification data, and output them respectively in the chronological order of each period for comparative display.

[0009] Optionally, periodically collecting disease condition feedback data from the patient side and converting the disease condition feedback data into first structured data specifically includes:

[0010] Periodically collect disease condition feedback data from patients and / or accompanying personnel through the consultation method, and perform structured processing on the disease condition feedback data to obtain first structured data.

[0011] Optionally, the disease diagnosis data from the doctor's side is periodically collected, and the disease diagnosis data is converted into second structured data, specifically including:

[0012] Periodically collect the disease diagnosis data of the patient, and perform structured processing on the disease diagnosis data according to different test items respectively to obtain metadata corresponding to different test items, where the metadata is used to represent the severity of the disease for different test items;

[0013] Integrate each piece of the metadata to obtain second structured data for representing the severity of the disease.

[0014] Optionally, integrating each piece of the metadata to obtain second structured data for representing the severity of the disease specifically includes: setting weight values for different test items respectively, and forming second structured data for representing the severity of the disease after summarizing and aggregating.

[0015] Optionally, both the first identification data and the second identification data are data values for representing the severity of the disease.

[0016] Optionally, the display identifier adopts any one of the following:

[0017] Color blocks, where different colors of the color blocks are used to represent different severities of the disease;

[0018] Display score, where the size of the displayed value of the display score is used to represent different severities of the disease;

[0019] Coordinate position, where the size of the coordinate value of the coordinate position is used to represent different severities of the disease, and the coordinate positions in different periods form a trend graph.

[0020] This application provides a disease data processing system based on a dual-path time axis, including:

[0021] A computer device for executing the disease data processing method based on the dual-path time axis as described in this application;

[0022] A patient-side terminal, communicating with the computer device, for receiving disease feedback data from the patient side and sending the disease feedback data to the computer device for collection;

[0023] A doctor-side terminal, communicating with the computer device, having a display interface, where the display interface at least includes:

[0024] An information area for displaying patient information;

[0025] An identification area for displaying the first display identifier and the second display identifier, where the first display identifier and the second display identifier are adjacent in the same cycle; in different cycles, each of the first display identifiers belonging to adjacent time cycles is adjacent, and each of the second display identifiers belonging to adjacent time cycles is adjacent.

[0026] Optionally, periodically collect the disease diagnosis data from the doctor side, and convert the disease diagnosis data into second structured data, specifically including: periodically collecting the disease diagnosis data of the patient, and respectively performing structured processing on the disease diagnosis data according to different test items to obtain metadata corresponding to different test items, where the metadata is used to represent the severity of the disease for different test items, and integrating each of the metadata to obtain second structured data for representing the severity of the disease;

[0027] The display interface has a first click control, and the first click control is used to jump to a sub-interface after being clicked;

[0028] For different test items, respectively convert each of the metadata into meta-identifier data for representing the severity of the disease, and output the meta-identifier data in the form of metadata display identifiers in chronological order of different cycles and then contrast and display them on the sub-interface.

[0029] Optionally, the sub-interface has a second click control and a third click control. The second click control is set on the sub-interface and is used to display the corresponding test report after being clicked;

[0030] The third click control is set on the sub-interface and is used to display the test parameters of the corresponding test item after being clicked.

[0031] The present application provides a computer device, including a memory, a processor, and a computer program stored on the memory, characterized in that the processor executes the computer program to implement the steps of the method for processing disease data based on a dual-path time axis as described in the present application.

[0032] The method for processing disease data based on a dual-path time axis in the present application has at least the following effects:

[0033] The first display identifier and the second display identifier in the present application enable doctors to quickly obtain the status information of the disease change in an intuitive manner, facilitating the timely discovery of the trend of disease deterioration to adjust the treatment plan, avoiding being overwhelmed by a large amount of text data information in professional attention, and efficiently and safely managing the disease condition.

[0034] This application completes the dual - path information comparison between the patient side and the medical staff side by sorting the time of each cycle and comparing and displaying the display identifiers of these two data sources, greatly reducing the probability that doctors miss active inquiries or examination information. Moreover, the dual - path information comparison display can intuitively show the real changes in the condition. Both the synchronization and separation degree between the two contain medical value, and by sorting along the time axis and presenting it intuitively, it reminds doctors to timely detect changes in the condition and verify the treatment effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 is a schematic flowchart of a method for processing condition data based on a dual - path time axis in an embodiment of this application;

[0036] Figure 2 is a schematic diagram of the communication principle between the computer device 104 and the patient - side terminal 102 in a condition data processing system based on a dual - path time axis in an embodiment of this application;

[0037] Figure 3 is a partial schematic diagram of the display interface of the medical - staff - side terminal in a condition data processing system based on a dual - path time axis in an embodiment of this application;

[0038] Figure 4 is Figure 3 a partial schematic diagram of the sub - interface obtained after the first click control (display identifier) in is triggered;

[0039] Figure 5 is Figure 4 a schematic diagram of the changed state obtained after the second click control 132 in is triggered;

[0040] Figure 6 is Figure 4 a schematic diagram of the changed state obtained after the third click control 133 in is triggered;

[0041] Figure 7 is an internal structure diagram of a computer device in an embodiment.

[0042] The reference numerals in the figures are as follows:

[0043] 102, patient - side terminal; 104, computer device; 110, information area; 121, first display identifier; 122, second display identifier; 132, second click control; 133, third click control. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] In order to make the objectives, technical solutions and advantages of this application clearer, the following further elaborates on this application in conjunction with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not used to limit this application.

[0045] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs. The terms used in the description of this application herein are for the purpose of describing specific embodiments only and are not intended to limit this application. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0046] In this application, terms such as "first" and "second" are used only for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity or order of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of this application, "a plurality of" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0047] See Figure 1 , this application provides a method for processing disease condition data based on a dual-path time axis, including steps S100 to S400, where:

[0048] Step S100, periodically collect disease condition feedback data from the patient side, convert the disease condition feedback data into first structured data, and convert the first structured data into first identification data according to the severity of the disease condition.

[0049] Step S200, periodically collect disease condition diagnosis data from the doctor side, convert the disease condition diagnosis data into second structured data, and convert the second structured data into second identification data according to the severity of the disease condition.

[0050] Step S300, respectively use the first display identifier and the second display identifier of the same type for the first identification data and the second identification data, and output them in the time order of each period for comparative display.

[0051] In this embodiment, periodically collecting means collecting in each period, and the period can be, for example, every day. Identification data refers to the data used to form an identifier. In this embodiment, the disease condition feedback data and the disease condition diagnosis data are interactively obtained in a standardized and structured manner and finally converted into numerical identification data. Specifically, both the first identification data and the second identification data are data values used to represent the severity of the disease condition.

[0052] In this embodiment, the first display identifier and the second display identifier enable doctors to quickly obtain the status information of the disease condition change in an intuitive manner, avoiding being overwhelmed by a large amount of text data information of professional attention, so as to achieve the goal of efficient and safe disease condition management.

[0053] This embodiment introduces the evaluation data of the patient side, avoiding missed diagnosis and misdiagnosis caused by one-way judgment, and is particularly applicable to patients with acute and critical illnesses and those in potential deterioration. By sorting according to the time of each cycle and comparing and displaying the display identifiers of the two data sources of the patient side and the medical staff side, the dual-channel information comparison between the patient side and the medical staff side is completed, greatly reducing the probability that doctors miss active inquiries or examination information. Moreover, the dual-channel information comparison display can intuitively show the real changes in the condition. The synchronization and separation degree of both contain medical value, and are reminded to doctors in an intuitive display manner along the time axis, enabling timely detection of condition changes and verification of treatment effects. This embodiment improves doctors' intuitive evaluation of treatment effects and timely discovers signs of disease deterioration through the visualization of the disease degree trend.

[0054] This embodiment is not aimed at disease diagnosis. It mainly aims at the timeliness and integrity of the collection of disease change information and reminds the medical side in an intuitive and continuous manner in real time, so as to prevent doctors from being overwhelmed by a large amount of scattered medical information, resulting in failure to detect in time or being inadvertently ignored. In this embodiment, the first identification data from the patient side and the second identification data from the medical staff side are based on the primary and secondary importance and medical principles and clinical diagnosis. The scoring rules can be continuously rationalized, optimized and iterated according to the disease model in actual applications. The scoring rules can be displayed as clear index data or detailed content of symptoms and degrees after clicking to enter.

[0055] See Figure 1 , step S100 specifically includes: periodically collecting the condition feedback data of patients and / or accompanying persons through the method of inquiry, structuring the condition feedback data to obtain the first structured data, and converting the first structured data into the first identification data according to the severity of the condition.

[0056] When collecting patient-side data, through the method of inquiry, the patient or their accompanying person can be asked to provide information in dimensions such as symptoms, locations, and degrees, including various aspects such as the physical and psychological and mental aspects that help judge the body function, functional state, disease symptoms, and psychological and emotional aspects, so as to help the medical side obtain first-hand relevant condition changes and other information at the bedside, that is, obtain the condition feedback data. The accompanying persons can include, for example, accompanying relatives and non-relatives, such as colleagues, friends, and hired third-party accompanying persons. For example, provide structured text-guided questions for various disease information and convert them into condition feedback data. The condition feedback data is used to reflect information such as the patient's physical feelings, occurrence of disease symptoms, and symptom severity, improvement, and getting better. The condition feedback data includes text, voice, photo, and video information. The condition feedback data is structured to obtain the first structured data.

[0057] On this basis, according to medical principles and the principles of disease occurrence and development, the information obtained is automatically formed into a weight score reflecting the severity of the symptoms corresponding to the disease, integrating all the obtained symptom and disease condition change information, and performing structured processing, such as establishing a corpus, and extracting the disease condition feedback data through the chief complaint field, and appropriately generalizing the corresponding entries through weight score calculation, generative artificial intelligence evaluation, or artificial intelligence big data analysis, and extracting the first structured data.

[0058] Specifically, for example, according to physiological and pathological rules, a structured interview database is formulated, and all interview fields are generated into structured data. For example, the disease condition feedback data generated by the answers of the patient or their family members, and the structured data is presented as abdominal pain - degree, with no record being 0 points, obvious improvement (slight) and occasional abdominal pain being 1 point, paroxysmal abdominal pain being 2 points, persistent abdominal pain being 3 points, persistent and aggravated abdominal pain being 4 points, and unbearable abdominal pain being 5 points. The description of the terms for different degrees of abdominal pain and their scores can be understood as at least a part of the structured data. Different structured data all correspond to different score values, and after these score values are weighted and accumulated, the first identification data is obtained, and the data value of the first identification data can be understood as a weighted score. The score formed by the first structured data is weighted to form a total score, for example, in the score dimension of 0 - 10 points, and this weighted score value is the first identification data itself.

[0059] The algorithm logic for forming the weighted score value can be that the weighted severity determined by the disease mechanism of each symptom score is accumulated to form a total score and normalized to the total score value of the system. It can also be to take the highest score value among the scores of each symptom and then normalize it to the total score value of the system, that is, the weights of the others are zero. It can also be to form a normalized total score value of the system according to other rules that conform to medical principles and disease mechanisms, and finally form this score value.

[0060] In the current routine hospital medical process, there is generally a lack of key disease change information that is real-time, continuous, and directly from the patient himself or the bedside caregiver's perception or observation. And the direct judgment value and timeliness of this kind of information are significantly higher than the information obtained by the medical side through examinations and inspections and doctors' active inquiries. In this embodiment, the patient side is used as the information source for disease condition monitoring, and is subjected to structured and data conversion to form data indicators reflecting the severity of the disease condition, and the original text information is retained as a continuous monitoring tool for medical diagnosis and curative effect analysis, providing continuous and effective help for doctors to manage patients efficiently and accurately. The patient side is initiated by the patient or the family member, so the information is earlier than that of the hospital side. When there are traces of disease condition changes in relatively mild patients, the hospital side cannot obtain the change information. Therefore, the time misalignment comparison between each other can discover the clues of the disease condition earlier.

[0061] See Figure 1, step S200 specifically includes: step S210, periodically collecting the patient's disease diagnosis data, structurally processing the disease diagnosis data according to different test items respectively to obtain metadata corresponding to different test items, where the metadata is used to represent the severity of the disease for different test items. Step S220, synthesizing each piece of metadata to obtain second structured data for representing the severity of the disease. Step S230, converting the second structured data into second identification data according to the severity of the disease. Step S220 specifically includes: setting weight values for different test items respectively, and forming second structured data for representing the severity of the disease after summarizing and aggregating.

[0062] In this embodiment, all vital signs, test and examination information are collected through the hospital information system to obtain vital indicators such as heart rate, blood pressure, respiration, finger pulse oxygen saturation, etc. All kinds of test data are the diagnosis data of the disease severity. All kinds of information data directly related to the patient in the hospital information system can be converted into quantitative, semi - quantitative or qualitative data, that is, the metadata of different test items. According to medical principles, both symptoms and indicators of the metadata of different test items are measured by the degree of threat to life. For example, shock (hypotension), respiratory failure (shortness of breath, chest tightness, etc.), infection, pain (degree, persistence, location, chest, abdomen, head, limb, etc.), vital signs (heart rate, blood pressure, respiration, oxygen saturation, etc.), and they are sorted and scored according to their severity respectively. The score value can be understood as the metadata itself.

[0063] The metadata can form the severity score values corresponding to each piece of information according to medical principles and disease mechanisms. The scoring data carries the labels of different test items. After overall summarization, the second structured data is formed. For the metadata belonging to each test item in the second structured data, according to the score values reflecting the disease formed by different test items, they are sorted according to the degree of importance to obtain the weights based on different test items. Then, the metadata and the weights of the metadata are cumulatively calculated to obtain a unique score value, and this unique score value is used as the second identification data. The second identification data comprehensively reflects the original severity of the metadata of different test items for each index, and weights the comprehensive score of the severity contribution to the disease, specifically corresponding to the same numerical dimension such as 0 - 10 points as described above.

[0064] The conversion from the first structured data to the first identification data and the conversion from the second structured data to the second identification data are not limited to the methods of forming the identification data score values listed above. Any method that forms a corresponding comprehensive score based on other medical principles and disease mechanisms to reflect the disease severity and organ function status is within the design concept of this application.

[0065] See Figure 2, an embodiment of the present application provides a medical condition data processing system based on a dual-path timeline, including a computer device 104, a patient terminal 102, and a doctor terminal. Among them, the computer device 104 is used to execute the medical condition data processing method based on a dual-path timeline provided in each embodiment of the present application. The patient terminal communicates with the computer device 104, is used to receive medical condition feedback data from the patient, and sends the medical condition feedback data to the computer device 104 for collection. The doctor terminal communicates with the computer device 104 and has a display interface.

[0066] The patient terminal and the doctor terminal are both electronic devices with display functions, such as mobile phones, tablet computers, laptop computers, desktop computers, or other mobile devices. The computer device 104 is the system server. The patient terminal uses a unique code scanning and identity authentication method as a communication credential with the system server to submit the patient's situation to the system server.

[0067] See also Figure 3 The display interface at least includes an information area 110 and an identification area. The information area 110 is used to display patient information. The identification area is used to display a first display identification 121 and a second display identification 122. In the same cycle, the first display identification 121 and the second display identification 122 are adjacent. In different cycles, the first display identifications 121 belonging to adjacent time periods are adjacent, and the second display identifications 122 belonging to adjacent time periods are adjacent.

[0068] The display mark can be realized by color blocks, display scores, coordinate positions, etc. The different colors of the color blocks are used to indicate different degrees of severity of the disease, for example, the degree of color eye-catching represents the degree of the disease. The display value of the display score is used to indicate different degrees of severity of the disease. The coordinate value of the coordinate position is used to indicate different degrees of severity of the disease, and the coordinate positions of different periods form a trend chart for comparison.

[0069] In this embodiment, the data value of the identification data and the corresponding data value size are finally formed into colors, trend charts, or score displays, etc., and various intuitive and concise ways are displayed on the display interface. The continuous time period such as (days) is used as a unit to display a multi-color bar chart, trend line or other intuitive methods to reflect the changes. When the doctor uses the doctor's end, the various display identifiers on the display interface can intuitively remind the doctor's end, so that the doctor can quickly evaluate the severity of the patient's condition.

[0070] See also Figure 3, in this embodiment, on the doctor side, the first display identifier 121 and the second display identifier 122 corresponding to the unified timeline (color blocks of dual-channel and dual-source) visually remind the doctor that if the colors of the two channels are similar, it indicates that there is no obvious deviation in the judgment of the condition. If there is a deviation in the color of the color block generated by the patient side and the color block generated by the hospital side, especially when the severity of the patient side is higher than that of the hospital side, it reminds the doctor that the patient's condition may have signs of deterioration, indicating that caution must be exercised and further examination at the bedside should be carried out to confirm, and corresponding tests and examinations should be done to clarify the actual degree of the deterioration of the condition, so as to make a more accurate judgment and treatment further.

[0071] In consecutive different periods (such as consecutive days), the change of the display identifier along the timeline (such as horizontally) represents the severity of the condition changing over time. Multiple first display identifiers 121 in adjacent periods and multiple second display identifiers 122 in adjacent periods are arranged in parallel, and the whole is displayed in a matrix form. By comparing the differences in the changes of the display identifiers between the doctor side and the patient side, the changes in the patient's physical condition, disease-related symptoms, and vital signs are reflected. And it is vividly displayed on the medical staff side, so as to directly provide a change diagram of the patient source for doctors, nurses, pharmacists, etc.

[0072] See Figures 4 to 6 , the display interface has a first click control, and the first click control is used to jump to a sub-interface after being clicked. The first click control can be, for example, a display identifier (the first display identifier, the second display identifier). Further, for different test items, each piece of metadata is respectively converted into a meta-identifier data for representing the severity of the condition, and the meta-identifier data is output in chronological order of different periods in the form of a meta-data display identifier and then compared and displayed on the sub-interface. The formation method of the meta-data display identifier can refer to the acquisition method and display method of the display identifier formed by the first identifier data and the second identifier data.

[0073] Further, the sub-interface has a second click control 132 and a third click control 133. The second click control 132 is set on the sub-interface and is used to display the corresponding test report after being clicked. The third click control 133 is set on the sub-interface and is used to display the test parameters of the corresponding test item after being clicked.

[0074] Each embodiment of this application collects various multi-dimensional information reflecting the patient's body and psychology, etc. for doctors to help doctors comprehensively and globally master the possible changes in the patient's condition, so that the patient himself or the patient's accompanying personnel (relatives, friends, non-professional accompanying personnel, nursing workers, etc.) can obtain the changes in the patient and the main symptoms of the disease, as well as the patient's postoperative and newly emerging symptom feelings, etc. Through assisted Q&A and structured text library-guided Q&A, the degree of symptoms is judged, and the information related to the patient's disease trend is digitized and visually displayed to doctors through color blocks, trend charts, curve charts, etc.

[0075] It should be understood that although Figure 1 the steps in the flowchart are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover,[ Figure 1 at least a part of the steps in[

[0076] include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.[ Figure 7 In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in[

[0077] shown. The computer device includes a processor, a memory, a network interface, and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store first identification data and second identification data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it implements a method for processing disease condition data with a dual-path timeline.[

[0078] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: Step S100, periodically collect the condition feedback data from the patient side, convert the condition feedback data into first structured data, and convert the first structured data into first identification data according to the severity of the condition. Step S200, periodically collect the condition diagnosis data from the doctor side, convert the condition diagnosis data into second structured data, and convert the second structured data into second identification data according to the severity of the condition. Step S300, respectively use the same type of first display identifier and second display identifier for the first identification data and the second identification data, and output them respectively in the time order of each period for comparative display.

[0079] In one embodiment, a computer program product is provided, including computer instructions. When the computer instructions are executed by a processor, the following steps are implemented: Step S100, periodically collect the condition feedback data from the patient side, convert the condition feedback data into first structured data, and convert the first structured data into first identification data according to the severity of the condition. Step S200, periodically collect the condition diagnosis data from the doctor side, convert the condition diagnosis data into second structured data, and convert the second structured data into second identification data according to the severity of the condition. Step S300, respectively use the same type of first display identifier and second display identifier for the first identification data and the second identification data, and output them respectively in the time order of each period for comparative display.

[0080] In this embodiment, the computer program product includes a program code part for, when the computer program product is executed by one or more computing devices, implementing the steps of the condition data processing method based on the dual-path time axis in each embodiment of the present application. The computer program product can be stored on a computer-readable recording medium. The computer program product can also be provided for downloading via a data network (for example, through RAN, via the Internet and / or through RBS). Alternatively or additionally, the method can be encoded in a field-programmable gate array (FPGA) and / or an application-specific integrated circuit (ASIC), or the functionality can be provided for downloading by means of a hardware description language.

[0081] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided in this application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0082] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification. When the technical features in different embodiments are embodied in the same drawing, the drawing can be regarded as simultaneously disclosing the combination examples of the various embodiments involved.

[0083] The above-described embodiments only represent several implementation manners of this application. The description is relatively specific and detailed, but it cannot be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of this application, several modifications and improvements can still be made, and these all belong to the protection scope of this application. Therefore, the protection scope of the patent of this application should be subject to the appended claims.

Claims

1. A method for processing medical condition data based on a dual-path timeline, characterized in that, Including: Periodically collect the condition feedback data from the patient side, convert the condition feedback data into first structured data, and convert the first structured data into first identification data according to the severity of the condition; Periodically collect the condition diagnosis data from the doctor side, convert the condition diagnosis data into second structured data, and convert the second structured data into second identification data according to the severity of the condition; Respectively output the first identification data and the second identification data with the same type of first display identification and second display identification, and output them in the time sequence of each period for comparative display.

2. The method for processing disease condition data according to claim 1, wherein Periodically collect the condition feedback data from the patient side, and convert the condition feedback data into first structured data, specifically including: Periodically collect the condition feedback data of the patient and / or the caregiver through the inquiry method, and perform structured processing on the condition feedback data to obtain first structured data.

3. The method for processing medical condition data according to claim 1, wherein Periodically collect the condition diagnosis data from the doctor side, and convert the condition diagnosis data into second structured data, specifically including: Periodically collect the condition diagnosis data of the patient, and perform structured processing on the condition diagnosis data according to different test items respectively to obtain metadata corresponding to different test items, and the metadata is used to represent the severity of the condition of different test items; Integrate each of the metadata to obtain second structured data for representing the severity of the condition.

4. The method for processing disease condition data according to claim 3, wherein Integrate each of the metadata to obtain second structured data for representing the severity of the condition, specifically including: setting weight values for different test items respectively, and forming second structured data for representing the severity of the condition after summarizing and aggregating.

5. The disease condition data processing method according to claim 1, characterized in that Both the first identification data and the second identification data are data values for representing the severity of the condition.

6. The method for processing medical condition data according to claim 1, wherein The display identification adopts any one of the following: Color patches, and different colors of the color patches are used to represent different severities of the condition; Display scores, and the display numerical values of the display scores are used to represent different severities of the condition; Coordinate positions, and the coordinate values of the coordinate positions are used to represent different severities of the condition, and the coordinate positions in different periods form a trend chart.

7. A disease condition data processing system based on a dual-path timeline, characterized in that, Including: A computer device for executing the condition data processing method based on a dual-path time axis according to any one of claims 1 to 6; A patient-side terminal, communicating with the computer device, for receiving the condition feedback data from the patient side and sending the condition feedback data to the computer device for collection; A doctor-side terminal, communicating with the computer device, having a display interface, and the display interface at least includes: An information area for displaying patient information; An identification area for displaying the first display identification and the second display identification, and the first display identification and the second display identification are adjacent in the same period; in different periods, each of the first display identifications belonging to adjacent time periods is adjacent, and each of the second display identifications belonging to adjacent time periods is adjacent.

8. The disease condition data processing system according to claim 7, wherein, Periodically collect the disease diagnosis data from the medical staff side, and convert the disease diagnosis data into second structured data, specifically including: periodically collect the disease diagnosis data of the patient, respectively perform structured processing on the disease diagnosis data according to different test items to obtain metadata corresponding to different test items, the metadata is used to represent the severity of the disease for different test items, and synthesize each piece of the metadata to obtain second structured data for representing the severity of the disease; The display interface has a first click control, and the first click control is used to jump to a sub-interface after being clicked; For different test items, respectively convert each piece of the metadata into meta-identifier data for representing the severity of the disease, and output the meta-identifier data in the form of a metadata display identifier in chronological order of different cycles and then display them contrastively on the sub-interface.

9. The disease condition data processing system according to claim 8, characterized in that, The sub-interface has a second click control and a third click control. The second click control is set on the sub-interface and is used to display the corresponding test report after being clicked; The third click control is set on the sub-interface and is used to display the test parameters of the corresponding test item after being clicked.

10. A computer device, comprising a memory, a processor, and a computer program stored on the memory, characterized in that, The processor executes the computer program to implement the steps of the disease data processing method based on a dual-path time axis according to any one of claims 1 to 6.

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