Clinical diagnosis and treatment path guiding system and guiding method

Abstract

The invention discloses a clinical diagnosis and treatment path guiding system and method. Specifically, the clinical diagnosis and treatment path guiding system comprises an input module, a dynamic diagnosis reasoning module and a display module. The input module is used for acquiring medical record data of a patient; the dynamic diagnosis reasoning module is used for obtaining diagnosis suggestions of the patient based on the medical record data of the patient; the diagnosis suggestions are updated based on the new clinical data until the determined disease diagnosis is obtained or all examinations are completed; the examination result area is used for displaying examination items corresponding to the diagnosis suggestions in response to confirmation information of the diagnosis suggestions and obtaining input information of examination results corresponding to the examination items so as to obtain new clinical data; the diagnosis suggestion area is used for displaying diagnosis suggestions updated in real time. The guiding path obtained through the guiding system is dynamic, and the guiding system can reduce the burden of medical staff, optimize the diagnosis and treatment process and improve the diagnosis accuracy.

Description

Technical Field

[0001] The present application relates to the field of in vitro diagnostic technology, and in particular to a clinical diagnosis and treatment pathway guidance system and guidance method. Background Art

[0002] A clinical pathway refers to a standardized workflow that is written in advance by professionals from various disciplines based on the principles of evidence-based medicine. It optimizes the sequence and timing of key treatments, examinations, and nursing activities for a disease or surgery as much as possible, so that most patients with the disease or undergoing the surgery can receive medical treatment and care according to this process from admission to discharge.

[0003] At present, my country is vigorously promoting the implementation of clinical pathways. However, since the medical pathway involves many medical behaviors and diagnosis and treatment activities, the symptoms of patients are more complicated, the coupling between multiple symptoms is strong, and there are many situations in the process of symptom advancement, it is difficult to form a standardized diagnosis and treatment model for single disease quality and cost management.

[0004] At present, hospitals at home and abroad mainly copy fixed clinical pathways to provide users with disease diagnosis and treatment plans, analysis and summary of diagnosis and treatment pathways. However, if fixed clinical pathways are rigidly copied when there are many disease diagnosis nodes and complex diagnosis plans, the treatment process may be rigid and difficult to meet personalized medical needs. Summary of the invention

[0005] The present application provides a clinical diagnosis and treatment pathway guidance system and guidance method to solve the technical problem in the prior art that copying a fixed clinical pathway may cause a rigid treatment process and be difficult to meet personalized medical needs.

[0006] In order to solve the above technical problems, a technical solution adopted in the present application is: to provide a clinical diagnosis and treatment pathway guidance system, which includes: an input module, a dynamic diagnosis reasoning module and a display module, wherein the input module is used to obtain the patient's medical record data; the dynamic diagnosis reasoning module is connected to the input module, and the dynamic diagnosis reasoning module is used to obtain the patient's diagnosis suggestions based on the patient's medical record data; and the diagnosis suggestions are updated based on new clinical data until a definite disease diagnosis is obtained or all examinations have been completed; the display module is connected to the dynamic diagnosis reasoning module, including: an examination result area, which is used to respond to confirmation information on the diagnosis suggestion, display the examination items corresponding to the diagnosis suggestion, and obtain input information of the examination results corresponding to the examination items to obtain new clinical data; the diagnosis suggestion area is used to display real-time updated diagnosis suggestions.

[0007] To solve the above-mentioned technical problems, another technical solution adopted in the present application is: to provide a guidance method for a clinical diagnosis and treatment pathway, the guidance method comprising: obtaining the patient's medical record data; obtaining the patient's diagnostic recommendations based on the patient's medical record data; after obtaining the user's confirmation information on the diagnostic recommendations, displaying the examination items corresponding to the diagnostic recommendations, and obtaining the input information of the examination results corresponding to the test items to obtain new clinical data; updating the diagnostic recommendations based on the new clinical data, and displaying the real-time updated diagnostic recommendations until a definite disease diagnosis is obtained or all examinations have been completed.

[0008] Beneficial effects of the present application: Different from the prior art, the clinical diagnosis and treatment pathway guidance system in the present application includes: an input module, a dynamic diagnosis reasoning module and a display module. The guidance pathway obtained by the present guidance system is dynamic. The present guidance system can update the diagnosis suggestions and diagnosis pathways in real time according to new clinical data. The diagnosis suggestions and diagnosis pathways can be quickly adjusted according to new test results or changes in patient conditions, making the diagnosis process more flexible and accurate. Moreover, the present guidance system can reduce the burden on medical staff, optimize the diagnosis and treatment process, and improve the accuracy of diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0010] Figure 1 It is a schematic diagram of a framework of an embodiment of a clinical diagnosis and treatment pathway guidance system provided by the present application;

[0011] Figure 2 This is a flowchart of an embodiment of a method for guiding a clinical diagnosis and treatment pathway provided by the present application;

[0012] Figure 3 It is a schematic diagram of a display interface of an interactive unit of the clinical diagnosis and treatment pathway guidance system provided by the present application;

[0013] Figure 4 It is another display interface schematic diagram of the interactive unit of the clinical diagnosis and treatment pathway guidance system provided by the present application;

[0014] Figure 5 yes Figure 2 A schematic flow chart of an embodiment of step S12;

[0015] Figure 6 This is a schematic diagram of the overall diagnosis pathway guidance of an embodiment of the clinical diagnosis pathway guidance system provided by the present application;

[0016] Figure 7 It is another display interface schematic diagram of the interactive unit of the clinical diagnosis and treatment pathway guidance system provided by the present application;

[0017] Figure 8 It is a schematic diagram of the diagnostic pathway guidance of the clinical diagnosis and treatment pathway guidance system provided by the present application, in which the final diagnosis indicates the presence of anti-FVII antibodies;

[0018] Fig. 9 This is a schematic diagram of the overall diagnosis pathway guidance of another embodiment of the clinical diagnosis pathway guidance system provided by the present application;

[0019] Fig.10 This is a schematic diagram of the diagnostic pathway guidance of the clinical diagnostic pathway guidance system provided by this application, in which the final diagnosis prompt is macrocytic anemia. DETAILED DESCRIPTION

[0020] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. It is to be understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for ease of description, only some structures related to the present application are shown in the accompanying drawings, rather than all structures. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0021] The terms "first", "second", etc. in this application are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0022] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0023] The present application provides a clinical diagnosis and treatment pathway guidance system and guidance method, which can help doctors sort out the diagnosis pathway when writing medical records, and provide diagnosis prompts and examination prompts in the next step of operation, thereby reducing the burden on medical staff, optimizing diagnosis suggestions, reducing misdiagnosis rates, and improving diagnosis accuracy. The guidance system and guidance method will be described in detail below.

[0024] Specifically, Figure 1 As shown, Figure 1 1 is a schematic diagram of a framework of an embodiment of a clinical diagnosis and treatment pathway guidance system provided by the present application. The clinical diagnosis and treatment pathway guidance system 10 (hereinafter referred to as the guidance system 10) may include: an input module 11, a data storage module 12, a dynamic diagnosis and reasoning module 13 and a display module 14. The dynamic diagnosis and reasoning module 13 is connected to the input module 11, the data storage module 12 and the display module 14.

[0025] The input module 11 is used to obtain the patient's medical record data, which may include the patient's basic information, medical history, and clinical manifestations, wherein the clinical manifestations include symptoms, examination results, and other data.

[0026] Specifically, the input module 11 may include an interface unit (not shown), which can be connected to external devices to achieve data exchange. By adopting standardized interfaces and communication protocols, the patient's basic information, medical history, symptoms, examination results and other medical records can be automatically collected. For example, the interface unit can be connected to a medical information consultation system and a laboratory information system to achieve seamless information exchange. It is understandable that the interface unit can also be integrated with other external devices (such as a medical image archiving and communication system) to obtain more comprehensive medical records of patients.

[0027] Furthermore, the input module 11 may also include an interaction unit (not shown), which may be used to interact with a user. The user may be a doctor or other person using the guidance system 10. The guidance system 10 may also obtain the patient's medical record data through the interaction unit. For example, the doctor manually inputs the patient's chief complaint, past medical history, and the results of each step of the examination in the interaction unit, collects the patient's medical history, and obtains the patient's medical record data. The interaction unit may include the interaction area in the display module 14 described below.

[0028] The display module 14 can provide the user with an interactive and intuitive interface for real-time interaction and data viewing.

[0029] Specifically, the display module 14 may include at least one of an inspection result area, a diagnosis suggestion area, a diagnosis path area, a user feedback area, a next step suggestion area, and an interaction area. For an introduction to each area in the display module 14, please refer to the introduction of the following embodiment, which will not be repeated here.

[0030] The display module 14 can generate a visual diagnostic path in real time based on each diagnostic suggestion of the system for the patient, helping the user to quickly understand the patient's condition and the recommended next treatment plan. In addition, the display module 14 can also support the user to adjust and optimize the diagnostic path to better meet the needs of the patient.

[0031] The display module 14 includes a visual interface that displays the diagnostic pathway, laboratory test results, and other relevant data in an easy-to-interpret format. This visual interactive interface can also provide real-time feedback and interactive mechanisms to allow users to confirm, reject, or request more information about the proposed diagnostic pathway.

[0032] The data storage module 12 can be used to store and manage the patient's medical record data safely and efficiently. The data storage module 12 can use database technology and encryption algorithms to ensure the privacy and security of the patient's medical record data. At the same time, the patient's medical record data can be cleaned, structured and standardized to improve the efficiency of data retrieval and analysis, and provide support for diagnostic path guidance.

[0033] The data storage module 12 can also be used to store and manage knowledge graphs. The knowledge graph may include medical record data, corresponding diagnostic recommendations, and weights corresponding to the diagnostic recommendations. For example, medical record data includes various clinical observations and examination results, and the corresponding diagnostic recommendations include the association between the medical record data and potential diseases, as well as recommendations for the next examination. The knowledge graph in the data storage module 12 can be extracted and established from medical literature, clinical diagnosis and treatment guidelines, and expert consensus, and is obtained through expert evaluation.

[0034] The data storage module 12 also has the functions of adding, deleting and modifying data. The data storage module 12 can be used to update the knowledge graph based on new medical literature, new clinical diagnosis and treatment guidelines, new expert consensus or user feedback information.

[0035] Specifically, the knowledge graph includes several diagnostic data groups, and the data structure of each diagnostic data group may include: medical record data and its corresponding diagnostic recommendations. The diagnostic data group may also include the weight corresponding to the diagnostic recommendation. In some specific embodiments, for example, the knowledge graph may be a seven-tuple data, and the data structure of the seven-tuple may be: knowledge category, test name, English name, status, degree, weight, knowledge prompt category, knowledge prompt result, knowledge source. For example, three pieces of knowledge extracted from the "Chinese Expert Consensus on the Diagnosis of Disseminated Intravascular Coagulation (2017 Edition)" are as follows:

[0036] (Test findings, D-dimer, DD, elevated, <5mg / L, 0, disease indication, disseminated intravascular coagulation, Chinese expert consensus on the diagnosis of disseminated intravascular coagulation (2017 edition));

[0037] (Test findings, D-dimer, DD, elevated, 5-9 mg / L, 2, disease indication, disseminated intravascular coagulation, Chinese expert consensus on the diagnosis of disseminated intravascular coagulation (2017 edition));

[0038] (Test findings, plasma thrombin time measurement, PT, prolonged, ≥3s, 1, disease indication, disseminated intravascular coagulation, Chinese expert consensus on the diagnosis of disseminated intravascular coagulation (2017 edition)).

[0039] The data collection of the seven-tuple can be extracted from textbooks, clinical diagnosis and treatment guidelines and expert consensus according to the above rules to form a knowledge graph and store it in the data storage module 12. Among them, if a field has no information, it is filled in as blank. It is understandable that according to actual applications, the knowledge graph can also adopt other schemes. For example, if there are more items, eight-tuples, ten-tuples, etc. can be used; if there are fewer items, five-tuples or six-tuples can be used, etc., which can be set according to actual needs, and no specific limitation is made here.

[0040] The dynamic diagnosis reasoning module 13 is the core of the guidance system 10. It can obtain diagnostic suggestions for patients based on the medical record data provided by the input module 11. For example, the dynamic diagnosis reasoning module 13 can query the data of the knowledge graph and then infer possible diseases and recommended next examinations. The dynamic diagnosis reasoning module 13 is dynamic and can update diagnostic suggestions and clinical pathways in real time based on new clinical data.

[0041] The guidance system 10 of the present application is easy to integrate and expand. The guidance system 10 adopts a modular design, which is convenient for integration with other medical information systems to meet the needs of different medical institutions. The diagnosis suggestion area can display real-time updated diagnosis suggestions, and the examination items and new clinical data corresponding to the diagnosis suggestions can be displayed in the examination result area. The diagnosis suggestions can be quickly adjusted according to new test results or changes in patient conditions, making the diagnosis process more flexible and accurate, in line with the diagnosis steps of gradually eliminating diseases, and can reduce the burden on medical staff, optimize the diagnosis and treatment process, and improve the accuracy of diagnosis.

[0042] Moreover, the guidance system 10 has good scalability and can adapt to the development of future medical technology. Moreover, the guidance system 10 can automatically generate a diagnosis path, reduce the burden on users, optimize diagnosis and treatment suggestions, and improve the accuracy of diagnosis.

[0043] like Figure 2 As shown, the guidance method of the guidance system 10 for the clinical diagnosis and treatment pathway may include the following steps:

[0044] S11: Obtain the patient's medical record data.

[0045] The dynamic diagnosis reasoning module 13 first obtains the patient's medical record data when providing diagnostic path guidance. Specifically, the dynamic diagnosis reasoning module 13 is connected to the input module 11 and obtains the patient's medical record data through the input module 11. For example, the dynamic diagnosis reasoning module 13 can receive the patient's chief complaint, physical examination information, examination results and other medical record data through the interface unit.

[0046] Optionally, the dynamic diagnosis reasoning module 13 can also obtain the medical record data manually input by the user through the interactive unit. Figure 3 As shown, the visual interface of the display module 14 includes: patient complaints, past medical history, physical examination results (equivalent to the interactive area), next step suggestions, next step results (equivalent to the examination result area) and diagnosis suggestions. Figure 3 The patient's chief complaint, past medical history, and physical examination result area can be used as an interactive area, and the user enters the user's medical record data in the interactive area so that the dynamic diagnosis reasoning module 13 obtains the patient's medical record data.

[0047] After receiving the patient's medical record data, the dynamic diagnosis reasoning module 13 can convert it into a data structure that can be recognized by the guidance system 10, so as to obtain the patient's diagnosis suggestion based on the recognizable data structure. For example, the dynamic diagnosis reasoning module 13 can convert the examination results and reference ranges in the medical record data into an examination result data structure that can be recognized by the guidance system 10, such as (prothrombin time, prolonged). Based on this result, the data in the knowledge graph is queried in the data storage module 12 to obtain the interference factors and disease prompts corresponding to (prothrombin time, prolonged).

[0048] S12: Obtain diagnostic recommendations for the patient based on the patient's medical record data.

[0049] After the dynamic diagnosis reasoning module 13 obtains the patient's medical record data, the user can determine whether the abnormal results in the medical record data are caused by instrument failure, improper operation, drug effects, etc. Specifically, the user feedback area in the display module 14 can be used to obtain the user's feedback information on the above-mentioned influencing factors. When the dynamic diagnosis reasoning module 13 receives information that the abnormal result is caused by instrument failure or human operation factors, it provides a re-examination prompt. When the dynamic diagnosis reasoning module 13 receives that the abnormal result in the medical record data is not caused by instrument failure, human operation factors, and drug effects, the patient's diagnosis suggestion can be obtained based on the medical record data.

[0050] In a specific embodiment, the dynamic diagnosis reasoning module 13 can query the data in the knowledge graph according to the medical record data to obtain the diagnosis suggestion corresponding to the medical record data. That is, the dynamic diagnosis reasoning module 13 can use the diagnosis data group in the knowledge graph to obtain the next step of diagnosis suggestion.

[0051] In other embodiments, the dynamic diagnostic reasoning module 13 can also obtain corresponding diagnostic suggestions based on the large language model. Specifically, the dynamic diagnostic reasoning module 13 can input the medical record data into the trained large language model, and the large language model automatically outputs the diagnostic suggestions corresponding to the medical record data.

[0052] The diagnosis suggestion may include: at least one of the interference factors, disease prompts and next examination suggestions corresponding to the medical record data, so as to obtain the next diagnosis and treatment path.

[0053] After the dynamic diagnosis reasoning module 13 obtains the diagnosis suggestion, the diagnosis suggestion area in the display module 14 can be used to display the diagnosis suggestion in real time.

[0054] like Figure 4 As shown, the diagnostic path area in the display module can also generate visual diagnostic path branches based on the diagnostic suggestions, helping users to quickly understand the patient's condition and the recommended next diagnosis and treatment plan.

[0055] In a specific embodiment, Figure 5 As shown, the steps of obtaining a diagnosis suggestion for the patient based on the patient's medical record data may include:

[0056] S121: Obtain interference factors and disease prompts corresponding to the medical record data based on the patient's medical record data.

[0057] After obtaining the patient's medical record data, the dynamic diagnosis reasoning module 13 eliminates interference factors for abnormal results in the medical record data. Specifically, the dynamic diagnosis reasoning module 13 analyzes abnormal results of the medical record data to obtain interference factors corresponding to the abnormal results.

[0058] For example, the dynamic diagnosis reasoning module 13 can find interference factors that may cause the abnormal result from the knowledge graph to exclude false abnormalities that may be caused by interference factors, such as drug effects, anticoagulant ratios, or systemic diseases.

[0059] The user can confirm the interference factor through the user feedback area of ​​the display module 14. Specifically, when the dynamic diagnosis reasoning module 13 obtains the possible interference factor, the interference factor can be displayed through the diagnosis suggestion area in the display module 14. After the user checks the interference factor, if the interference factor is eliminated, the user can issue an instruction to confirm that the interference factor is eliminated through the user feedback area. The dynamic diagnosis reasoning module 13 receives the instruction and confirms that the interference factor is eliminated. When the user confirms that the abnormal result is not affected by the interference factor, the dynamic diagnosis reasoning module 13 confirms it as a true abnormality, guides the system 10 to the next step of diagnostic path guidance, and enters step S122.

[0060] When the user confirms that the abnormal result is caused by interference factors, the dynamic diagnosis reasoning module 13 will issue a recheck prompt.

[0061] S122: After confirming that the interfering factors have been eliminated, the next step of examination recommendations is obtained based on the disease prompts.

[0062] When the dynamic diagnostic reasoning module 13 confirms that the interference factors corresponding to the abnormal results have been eliminated, the diagnostic path is guided. The dynamic diagnostic reasoning module 13 can query the inspection suggestions associated with the disease prompts in the knowledge graph according to the disease prompts, and can use the inspection suggestion with the highest frequency as the next inspection suggestion, or use the inspection suggestions with a frequency higher than the set number of times as the next inspection suggestion. The next inspection suggestion area in the display module 14 can be used to respond to the confirmation information of the diagnostic suggestion, update the next inspection suggestion in the diagnostic suggestion to the next inspection suggestion area, and display the inspection items corresponding to the next inspection suggestion in the inspection result area.

[0063] In the above embodiment, the dynamic diagnosis reasoning module 13 first eliminates interference factors and then guides the next step of the diagnosis path to improve the accuracy of the diagnosis.

[0064] S13: After obtaining the user's confirmation information on the diagnosis suggestion, the examination items corresponding to the diagnosis suggestion are displayed, and the input information of the examination results corresponding to the examination items is obtained to obtain new clinical data.

[0065] After the dynamic diagnostic reasoning module 13 obtains the diagnostic suggestion, the user can interactively confirm the diagnostic suggestion. For example, the user can eliminate the interference factors in the diagnostic suggestion and provide feedback confirmation for the next inspection suggestion. The test result area of ​​the display module 14 is used to respond to the confirmation information of the diagnostic suggestion, display the test items corresponding to the diagnostic suggestion, and obtain the input information of the inspection results corresponding to the inspection items to obtain new clinical data. Among them, the test result area of ​​the display module 14 can search for the corresponding inspection results and display them through user input or file information import or interface.

[0066] New clinical data is a supplement to the user's medical record data. The new clinical data may include the following: test data, user confirmation of whether there are interference factors, user inquiry of whether the patient has taken a certain drug that affects the abnormal result, user inquiry of whether the patient has an abnormal result due to surgery or pregnancy, etc.

[0067] Specifically, the user can suggest that the patient undergo relevant examinations based on the next examination suggestion in the diagnosis suggestion to obtain new examination results. When new examination results are input, new clinical data can be obtained, and the dynamic diagnosis reasoning module 13 obtains the new clinical data.

[0068] S14: Update the diagnostic recommendations based on new clinical data and display the updated diagnostic recommendations in real time until a definite disease diagnosis is obtained or all examinations are completed.

[0069] After acquiring new clinical data, the dynamic diagnosis reasoning module 13 may obtain new diagnostic suggestions based on the new clinical data to update the diagnostic suggestions. The method for obtaining the new diagnostic suggestions may be the same as step S12.

[0070] Specifically, the dynamic diagnosis reasoning module 13 re-infers the disease and makes recommendations for the next test based on the new clinical data and all other test results and clinical observation results that have been obtained.

[0071] The diagnostic recommendation of this application is a dynamic and ongoing process, which will repeatedly make further examination recommendations and data input until a definite disease diagnosis is obtained or all examinations have been completed.

[0072] The diagnostic path area in the display module 14 can also be used to generate corresponding visual diagnostic path branches in real time based on each diagnostic suggestion and corresponding inspection result. ， Until a definite disease diagnosis is obtained or all examinations have been completed, the total diagnosis path is obtained. In this application, only the branch corresponding to the examination result is displayed according to each diagnostic suggestion. Different from the problem of diagnostic path limitation in the one-time display of a pre-set fixed complete disease diagnostic path, in the solution provided by this application, the display of the diagnostic path is dynamically adjusted, and the diagnostic reasoning process is more accurate.

[0073] Optionally, if the user wants to terminate the guidance of the clinical pathway in advance due to conditional restrictions or other reasons, the dynamic diagnosis reasoning module 13 can receive the instruction to end the path guidance through the input module 11, or the dynamic diagnosis reasoning module 13 can also obtain the instruction to end the path guidance through the display module 14. After the dynamic diagnosis reasoning module 13 receives the instruction to end the path guidance, it gives at least one diagnostic suggestion based on all the current medical records and new clinical data of the patient. For example, the dynamic diagnosis reasoning module 13 can give several most likely diseases based on the frequency of disease prompts for user reference.

[0074] Optionally, the dynamic diagnostic reasoning module 13 can also receive feedback information from users to fine-tune the diagnostic suggestions based on the feedback information. If the user believes that the possibility of a certain inference in the obtained diagnostic suggestions is low, or has doubts about a certain inspection suggestion, the user can enter his feedback information in the user feedback area of ​​the display module 14, that is, the user feedback area of ​​the display module 14 can be used to obtain user feedback information. The dynamic diagnostic reasoning module 13 can dynamically adjust the diagnostic suggestions based on the feedback information. For example, the dynamic diagnostic reasoning module 13 can delete questionable inspection suggestions in the diagnostic suggestions, or reduce the weight of the diagnostic data group that gives the diagnostic suggestion in the knowledge graph.

[0075] Furthermore, when the user gives feedback information of inaccurate diagnosis in the user feedback area of ​​the display module 14, after the data storage module 12 receives the feedback information, the weight of the knowledge graph for generating the clinical pathway can be appropriately reduced. Specifically, after the data storage module 12 receives the feedback information of inaccurate diagnosis, the diagnostic data group used to obtain the diagnostic suggestion in the knowledge graph is marked, and when the number of times the diagnostic data group is marked is greater than or equal to the preset number of times, the weight of the diagnostic data group is reduced.

[0076] Therefore, the guidance system 10 emphasizes the dynamic nature of real-time updating of diagnostic suggestions. It can adjust the inferred possible diseases and recommended examinations in real time according to the new test results input in real time, making the diagnosis process more flexible and accurate. In addition, the dynamic diagnosis reasoning module 13 also takes into account the professional opinions and feedback of users, further enhancing the accuracy and usability of the guidance system 10 in providing path guidance.

[0077] The following is an example of the clinical pathway guidance of the guidance system 10:

[0078] First embodiment

[0079] This embodiment is based on a diagnostic pathway in which certain coagulation test data show that the prothrombin time (PT) is prolonged and the activated partial thromboplastin time (APTT) is normal.

[0080] like Figure 6 As shown, Figure 6 This is a schematic diagram of the total diagnostic path guidance of an embodiment of the clinical diagnosis and treatment path guidance system provided by the present application. For example, when the patient's chief complaint is intermittent nose bleeding for 2 years, abnormal coagulation function for 12 days, and no petechiae or ecchymosis is found on the skin of the whole body during the physical examination. The user enters the patient's chief complaint, medical history and physical examination results in the interactive unit, and the guidance system 10 automatically extracts relevant data and generates laboratory test recommendations based on the input medical record data. Here, it is prompted to perform six coagulation tests.

[0081] When inputting the laboratory test results prompted by the guidance system 10, the user can choose to access the hospital laboratory (testing department) information system to obtain the coagulation test results, or manually input the test results into the display interface of the interactive unit, and then the interface unit of the guidance system 10 responds to the input and saves the information in the data storage module 12.

[0082] After the dynamic diagnostic reasoning module 13 obtains the laboratory test results, it converts them into a format that can be searched by the knowledge graph based on the relationship between each test result and the reference range of this test.

[0083] For example: (prothrombin time, PT, 60.20, s); converted to: (PT, prolonged, >10s).

[0084] The dynamic diagnostic reasoning module 13 searches the knowledge graph of the data storage module 12 according to the converted result (prothrombin time, extension, >10s). First, the interference factors need to be eliminated, so the interference factors corresponding to (PT, extension) are retrieved, and the next abnormal result prompt is performed to determine whether a review is required. If a review is required, the previously input information will be cleared in the data storage module 12 and wait for the review result.

[0085] When the dynamic diagnosis reasoning module 13 confirms that the test results are not affected by other factors, it is judged to be true prolongation, and the system provides diagnostic path guidance. Specifically, the dynamic diagnosis reasoning module 13 searches the knowledge graph of the data storage module 12 according to the current test results, and the search content is (PT, prolongation, >10s), (TT, normal), (APTT, normal), (Fbg, normal), (D-Dimer, normal), where TT represents thrombin time, Fbg is fibrinogen, and D-Dimer is D-dimer. Obtain the diseases corresponding to the prolongation of PT when the remaining tests are normal. Then, based on these diseases, find the most frequent test items corresponding to the "test findings" and proceed to the next test prompt. Repeat the above steps until the final diagnosis result of the disease is obtained or all test items have been completed.

[0086] like Figure 7 As shown, when the user has opinions on the diagnostic suggestions, he can click the help icon in the display interface of the interactive unit to provide feedback on the diagnostic suggestions. After the dynamic diagnostic reasoning module 13 receives the feedback information, the guidance system 10 can adjust the weight of the knowledge graph in the clinical pathway generation process according to the user feedback frequency (such as multiple users providing feedback on this issue multiple times) to reduce the possibility of its occurrence.

[0087] Figure 8 Several key nodes are displayed, and the diagnosis suggestions of the key nodes are used to determine the next step of the diagnostic pathway. At the same time, the guidance system 10 can also indicate the current node and the required data through bold and color, and finally obtain the diagnosis prompt of the presence of anti-FVII antibodies, ending this clinical pathway interactive guidance.

[0088] The interactive diagnostic pathway guidance method proposed in this application is of great significance for users to make the next step of diagnosis and treatment recommendations. It can help users make laboratory test selections and diagnostic decisions more systematically and efficiently. Through this method, users can conduct corresponding laboratory tests in a targeted manner according to the specific conditions of the patients, avoid unnecessary examination items, and save medical resources. At the same time, the guidance system combines laboratory test results to provide personalized diagnostic pathway guidance, which helps to improve the accuracy and efficiency of diagnosis, reduce the risk of misdiagnosis, and provide patients with more accurate diagnosis and treatment services.

[0089] Second embodiment

[0090] This example is a diagnostic pathway for a patient who complains of anemia. The overall pathway diagram guided by the diagnostic pathway is as follows: Fig. 9 As there is a detailed self-examination procedure for routine blood tests, the analysis of abnormal results will not be repeated here.

[0091] First, medical history collection and preliminary assessment are performed. Users can enter the patient's chief complaint, medical history, and physical examination results in the interactive unit. Collect the patient's medical history, including family history, medication history, dietary habits, etc. Assess whether the patient has clinical manifestations of anemia, such as fatigue, dizziness, pale skin, etc.

[0092] After obtaining the above information, the guidance system 10 prompts the patient to undergo preliminary laboratory tests, such as a routine blood test, based on the patient's medical history and clinical manifestations.

[0093] If the system is connected to the hospital's laboratory (inspection department) information system, the patient's test results can be directly imported. Or the doctor can manually input the required test results in the next step.

[0094] After obtaining the blood routine results, the examination results showed that the patient's hemoglobin (Hb) and hematocrit (Hct) were decreased, indicating anemia.

[0095] Fig. 9 The diagnostic pathway guide for the presence of anemia symptoms and the final diagnosis of macrocytic anemia is shown. The key points are:

[0096] (1) Based on the patient's medical history and clinical manifestations, the guidance system 10 prompts the patient to undergo laboratory tests, namely, a routine blood test.

[0097] (2) Based on the results of routine blood tests, the type of anemia is determined and further reticulocyte level tests are performed.

[0098] (3) Based on the previous information, it is proposed to check the mean corpuscular volume (MCV), mean corpuscular hemoglobin content (MCH), and mean hemoglobin concentration (MCHC) to finally reach a diagnosis.

[0099] In summary, the guidance system 10 provided in the present application has the following effects: (1) Improving diagnostic accuracy: It can conduct a comprehensive analysis based on the patient's medical history, symptoms and related examination results, thereby improving the accuracy and efficiency of diagnosis; (2) Optimizing the diagnosis and treatment process: The guidance system can realize real-time interaction with the user, which helps to extract key data from complex patient information, provide personalized diagnostic suggestions, and effectively optimize the diagnosis and treatment process; (3) Reducing the burden on medical staff: Through automated data analysis and intelligent diagnostic suggestions, the guidance system 10 can reduce the user's workload, allowing them to focus more on the patient's treatment and rehabilitation; (4) Reducing the misdiagnosis rate: The real-time interactive diagnostic path guidance of the guidance system 10 can assist Doctors can identify rare cases and complex conditions, thereby reducing the possibility of misdiagnosis. The system adopts a modular design, which is convenient for integration with other medical information systems to meet the needs of different medical institutions. (5) Easy to integrate and expand: The system has good scalability and can adapt to the development of future medical technology. (6) Analyze more clinical parameters: Since this guidance system 10 is based on knowledge graphs and dynamic reasoning, it can accept and analyze more clinical parameters, rather than the traditional static clinical pathway diagram that can only infer fixed paths based on a few parameters. This also enables it to handle more complex situations and deeper analysis, which is more useful for dealing with multiple complications or atypical cases. (7) It can provide clear diagnostic ideas.

[0100] The above description is only an implementation method of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly used in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A clinical diagnosis and treatment pathway guidance system, characterized in that: The guidance system comprises: An input module is used to obtain the patient's medical record data; A dynamic diagnosis reasoning module, connected to the input module, for obtaining a diagnosis suggestion for the patient based on the patient's medical history data; and updating the diagnosis suggestion based on new clinical data until a confirmed disease diagnosis is obtained or all examinations are completed; A display module, connected to the dynamic diagnosis reasoning module, comprises: An examination result area, for displaying the examination items corresponding to the diagnosis suggestion in response to confirmation information of the diagnosis suggestion, and obtaining input information of the examination results corresponding to the examination items to obtain the new clinical data; The diagnosis suggestion area is used to display the diagnosis suggestion updated in real time.

2. The guidance system according to claim 1, characterized in that: The guidance system further includes a data storage module, which is used to store at least a knowledge graph, wherein the knowledge graph includes a plurality of diagnosis data groups, each of which includes medical record data and its corresponding diagnosis suggestions, and the dynamic diagnosis reasoning module is further used to: Based on the patient's medical record data, a diagnosis suggestion for the patient is obtained from the knowledge graph; based on the new clinical data, a new diagnosis suggestion is obtained from the knowledge graph to update the diagnosis suggestion.

3. The guidance system according to claim 2, characterized in that: The knowledge graph is established based on at least one of medical literature, clinical diagnosis and treatment guidelines and expert consensus, and the data storage module is also used to update the knowledge graph based on new medical literature, new clinical diagnosis and treatment guidelines, new expert consensus or feedback information from the user.

4. The guidance system according to claim 1, characterized in that: The input module includes an interaction unit and an interface unit, wherein the interface unit is connected to an external medical information consultation system and / or a laboratory information system. The dynamic diagnosis reasoning module is used to: obtain the patient's medical record data and the new clinical data through the interface unit and / or the interaction unit; The display module also includes a diagnostic path area, which is used to generate corresponding visual diagnostic path branches in real time based on the diagnostic suggestions and corresponding inspection results obtained each time. ， Until a definite diagnosis of the disease is obtained or all examinations have been completed, the overall diagnostic pathway is obtained.

5. The guidance system according to claim 1, characterized in that: The display module further includes a user feedback area, and the user feedback area is used to obtain feedback information from the user. The dynamic diagnosis reasoning module is further used to: adjust the diagnosis suggestion based on the feedback information, The diagnosis suggestion area is also used to display the adjusted diagnosis suggestion in real time.

6. The guidance system according to claim 2, characterized in that: The data structure of each diagnosis data group also includes: the weight corresponding to the diagnosis suggestion, The display module further comprises: a user feedback area, the user feedback area being used to receive feedback information of inaccurate diagnosis sent by the user; The data storage module is used to reduce the weight value of the diagnosis data group related to the diagnosis suggestion based on the feedback information.

7. The guidance system according to claim 1, characterized in that: The diagnostic suggestion includes a disease prompt, and the dynamic diagnostic reasoning module is used to: The dynamic diagnosis reasoning module is used to: receive an instruction to end the path guidance through the input module; and obtain at least one disease prompt based on all the medical record data and the new clinical data currently acquired.

8. The guidance system according to claim 1, characterized in that: The diagnostic suggestion includes at least one of interference factors, disease prompts and next examination suggestions corresponding to the medical record data, The dynamic diagnosis reasoning module is also used to: obtain interference factors and disease prompts corresponding to the medical record data based on the patient's medical record data; when it is confirmed that the interference factors are eliminated, obtain the next examination suggestion according to the disease prompt.

9. The guidance system according to claim 1, characterized in that: The display module may also include a next suggestion area, which is used to update and display the next inspection suggestion in the diagnostic suggestion in response to confirmation information of the diagnostic suggestion to the next suggestion area, and display the inspection items corresponding to the next inspection suggestion in the inspection result area.

10. A method for guiding a clinical diagnosis and treatment pathway, characterized in that: Based on the guidance system according to any one of claims 1 to 9, the guidance method comprises: Obtaining medical record data of the patient; Obtaining a diagnosis suggestion for the patient based on the patient's medical record data; After obtaining the user's confirmation information on the diagnostic suggestion, displaying the examination items corresponding to the diagnostic suggestion, and obtaining the input information of the examination results corresponding to the test items to obtain new clinical data; The diagnostic suggestion is updated based on the new clinical data, and the diagnostic suggestion updated in real time is displayed until a definite disease diagnosis is obtained or all examinations are completed.

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