Comprehensive chronic disease health management system

Abstract

The invention discloses a comprehensive chronic disease health management system, which is characterized in that a current association group of a patient and a plurality of medical personnel is configured based on a current doctor seeing relationship, in the current association group, role tags of the medical personnel are different, and diagnosis and treatment data are interacted between the patient and the medical personnel and between the medical personnel through a user side; the diagnosis and treatment data comprises health archive data, medical record data and a rehabilitation scheme, the health archive data comprises health index data and clinical examination data, the medical record data comprises offline inquiry data and online inquiry data, and the rehabilitation scheme is formulated or modified by medical staff through the user side based on the medical record data and / or the health archive data. According to the invention, by setting the association group, online consultation diagnosis and treatment services during and after diagnosis are provided for the patient after treatment according to the characteristic of long chronic disease treatment process, a rehabilitation scheme can be reversely adjusted based on an online communication result, and meanwhile, multi-directional collaborative management is provided for the patient in the whole treatment process, and comprehensive guarantee is provided for chronic disease rehabilitation.

Description

Technical Field

[0001] The present invention belongs to the technical field of medical systems, and specifically relates to a comprehensive chronic disease health management system. Background Art

[0002] Chronic metabolic diseases are usually chronic wasting diseases that affect metabolic function. Common related diseases include hyperlipidemia, diabetes, and hyperglycemia. If you have a chronic metabolic disease, you usually need to go to the hospital for examination in time and then treat it according to the cause. If you do not treat it, it may affect the health of your kidneys. And during the recovery period, you should maintain a light diet with low salt, low fat, and low sugar.

[0003] Traditional health service apps are mostly limited to pre-diagnosis search and registration services such as patient appointment registration and hospital inquiries. The remote service experience for patients after online diagnosis is relatively simple. In addition, many common and excellent health APPs cover multidisciplinary diseases and are not particularly sophisticated in chronic disease research and service needs. Even for single-disease medical health apps, there are more for obstetrics and gynecology, fertility, and pediatrics, but fewer chronic disease apps. Summary of the invention

[0004] The purpose of the present invention is to provide a comprehensive chronic disease health management system to solve the problems raised in the background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A comprehensive chronic disease health management system, including a user terminal, wherein the system configures a current association group of a patient and multiple medical personnel based on a current medical consultation relationship, wherein the role labels of the medical personnel in the current association group are different, and the patient and the medical personnel, and the medical personnel, interact with each other through the user terminal to exchange diagnosis and treatment data;

[0007] The diagnosis and treatment data includes health record data, medical record data and rehabilitation plan. The health record data includes health indicator data and clinical examination data. The medical record data includes offline consultation data and online consultation data. The rehabilitation plan is formulated or modified by medical personnel through the user terminal based on the medical record data and / or health record data.

[0008] Preferably, the current consultation relationship is between a patient and a doctor, and the configuration of the association group includes the following steps:

[0009] The role label requirements are determined by both parties in the current medical relationship. The system matches a recommended list of medical staff with each role label for the patient in the current medical relationship. The patient selects one from each recommended list of medical staff to join the associated group through the user terminal.

[0010] Preferably, the role label requirement includes the role label name and priority corresponding to the medical staff, and a recommended list of medical staff with the next level role label is obtained in sequence according to the priority. The method for obtaining any recommended list of medical staff at any level is: after eliminating medical staff whose charging standards are higher than the patient's intention and whose associated patients are saturated, calculate the matching degree between each medical staff with the same role label and the selected medical staff and patients, calculate the comprehensive matching degree, and select several medical staff with high comprehensive matching degrees to form a recommended list of medical staff.

[0011] Preferably, the matching degree between each medical staff with the same role label and each selected medical staff is calculated as:

[0012]

[0013] i represents the index of medical staff with the same required role label, j represents the index of the selected medical staff, and Y ij represents the number of years the ith medical staff has worked with the jth selected medical staff, α represents the correlation between the required role label and the role label corresponding to the selected ith medical staff, N represents the number of patients commonly associated with the medical staff with the same required role label and all selected medical staff, and nor represents the normalization of the data.

[0014] Preferably, the matching degree between each medical staff and patient with the same role label is calculated as:

[0015] Extract disease keywords from current medical record data, perform word segmentation on the work experience of each medical staff, obtain a vocabulary set, calculate the similarity between disease keywords and any word in the set, and take the highest similarity as the matching degree.

[0016] Preferably, the comprehensive matching degree is calculated as follows:

[0017]

[0018] Z i It represents the matching degree between medical staff with the same role label and patients, and β represents the effect proportion of the current role label on the patient.

[0019] Preferably, the user terminal of the medical staff configures the function module based on the role label, and the medical staff in the associated group configures the function module for the user terminal of the patient in the corresponding function configuration library based on the role label and the rehabilitation plan.

[0020] Preferably, the system is provided with an abnormal warning strategy, which monitors abnormal values ​​of the data entered by the patient, triggers a warning information sending mechanism when abnormal values ​​are captured, determines the sending object of the abnormal value, and sends it to its user end.

[0021] Preferably, the system obtains a list of medical teams based on the associated groups, and sets a patient list for all patients of each medical team, and all patients in the patient list interact through the user terminal.

[0022] Preferably, the rehabilitation program includes a first rehabilitation plan and a second rehabilitation plan. The system is provided with a rehabilitation plan status list. When the corresponding first rehabilitation plan is formulated or modified, the second rehabilitation plan is locked. After the first rehabilitation plan is formulated or modified, a message reminder is sent to the medical staff in the associated group.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] The present invention sets up association groups and, based on the characteristics of the long treatment process of chronic diseases, provides patients with online consultation and treatment services during and after diagnosis. The rehabilitation plan can be adjusted in reverse based on the results of online communication. At the same time, multi-faceted collaborative management is provided for patients throughout the entire treatment process, providing comprehensive guarantees for the rehabilitation of chronic diseases.

[0025] Based on the role label requirements under the current medical relationship, the present invention generates a corresponding medical staff recommendation list for it through a matching degree calculation strategy, thereby achieving synergy between medical staff and between medical staff and patients, improving the adaptability of different medical services, meeting the needs of different patients for medical services, and improving the medical experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is the overall framework diagram of the comprehensive chronic disease health management system.

[0027] Figure 2 Schematic diagram of the framework of the medical personnel matching process in the system of this embodiment.

[0028] Figure 3 Schematic diagram of the daily health indicator data entry interface in the system

[0029] Figure 4 This is a schematic diagram of the clinical examination data display interface in the system.

[0030] Figure 5 This is a schematic diagram of the data interaction interface for one person and one clinic in the system.

[0031] Figure 6 The figure is a flow chart of a method for obtaining a medical staff recommendation list in an embodiment of the present invention. DETAILED DESCRIPTION

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the protection scope of the present invention.

[0033] Reference Figure 1 , the present invention provides a comprehensive chronic disease health management system, including a server and a user end; the system realizes the interaction between patients and medical staff by configuring association groups, and manages diagnosis and treatment data. The server is developed in Java language, and the dubbo framework is used to provide large-scale distributed cluster services, which has excellent scalability and stability, and can achieve capacity expansion in minutes. In this system, relational data is stored in mysql, cache is stored in redis cluster, and attachments are encrypted and stored in Alibaba Cloud OSS. The health management system of the present invention improves system security in the following ways: ① front-end and back-end communication adopts Https encrypted transmission, and all interfaces, applications (web, h5, App), etc. are uniformly managed through the unified interface management gateway (MAPI), interface calls are uniformly tracked, abnormal requests are recorded and access is restricted; ② user sensitive information (such as mobile phone number, ID card, bank card, name, password, address, etc.) is encrypted and stored, and batch data processing is performed for operation audit; ③ the server is connected to Alibaba Cloud D DoS intelligent firewall and cloud situation awareness, which can prevent viruses, tampering, and scanning, and shield and restrict requests, and notify and respond to emergency procedures in the first time.

[0034] In the comprehensive mania health management system, the role labels of medical staff include doctors, nurses, nutritionists, rehabilitation therapists, psychological counselors, and laboratory technicians. The user end of medical staff configures functional modules based on role labels and configures different workbenches according to the job responsibilities of different medical staff.

[0035] Reference Figure 2 The present invention provides an embodiment of a comprehensive chronic disease health management system. In the system of this embodiment, during offline medical consultations, the consulting doctor will self-associate the patient on the user side, and the consulting doctor and the patient will determine the role label requirements. The system matches the patient in the current medical relationship with a recommended list of medical personnel with each required role label, and the patient selects one from each medical personnel recommendation list through the user side to join the association group. In the association group, the doctor in the current medical relationship serves as the attending physician, and the medical personnel selected by the patient in the medical personnel recommendation list serves as the assistant physician. The assistant attending physician provides multidisciplinary online consultation and diagnosis and treatment services to the patient during the long-term treatment process. There are one or more assistant physicians in the association group, and the role labels of the multiple assistant physicians are also different, such as nurses, nutritionists, rehabilitation therapists, etc.

[0036] The medical staff in the associated group and the patient exchange diagnosis and treatment data through the user end, including health record data, medical record data and rehabilitation plan. The health record data includes the patient's daily health index data, various clinical examination data, etc. Figure 3 , Figure 4 As shown, daily health index data is entered by patients in the associated group on the user side, and various clinical examination data are entered by the examiner on the user side or transmitted through the interface. Medical record data includes offline consultation data and online consultation data. The offline consultation data is entered by the consulting doctor on the user side, and the online consultation data is the online communication data between the patient and the consulting doctor through the user side. The rehabilitation plan is formulated or modified by medical staff through the user side based on medical record data and / or health record data. The rehabilitation plan includes a first rehabilitation plan and a second rehabilitation plan; the first rehabilitation plan is formulated / modified by the attending physician on the user side based on the medical record data, such as the consulting physician formulates a medication plan on the user side based on the medical record data; the assistant physician determines to formulate the second rehabilitation plan or implement the first rehabilitation plan based on the role label, such as the nutritionist formulates a diet plan for the patient based on the medical record data and the first rehabilitation plan, the rehabilitation therapist formulates an exercise plan for the patient based on the medical record data and the first rehabilitation plan, and the nurse implements the first rehabilitation plan; when the patient believes that there is a problem with the corresponding rehabilitation plan, the medical staff can modify the formulated rehabilitation plan through online communication. For example, during the implementation of the medication plan, the patient needs to monitor and upload daily health indicator data, such as blood pressure, blood sugar, etc. When the health indicator data is abnormal, the patient can communicate online with the medical staff in the associated group through the user side to modify the rehabilitation plan. The patient or medical staff can view the data entered by the other party on the user side based on the associated group information without the need for another offline visit.

[0037] The present invention establishes a personalized medical team for patients after they see a doctor for chronic diseases. Aiming at the problem of long treatment cycle of chronic metabolic diseases, the medical team provides professional post-diagnosis services. Patients have an independent closed diagnosis and treatment communication section, and can conduct many-to-one diagnosis and treatment communication with their own doctors, nurses, nutritionists, and health managers, and achieve an independent diagnosis and treatment space of "one person, one clinic" in the cloud. Figure 5 shown.

[0038] Furthermore, the system is also equipped with an abnormal warning strategy, which monitors the abnormal values ​​of the data entered by the patient, triggers the warning information sending mechanism when the abnormal value is captured, determines the sending object of the abnormal value, and sends it to its user end. Here, by setting a reference range or abnormal trigger words for the data, the abnormal value can be captured. The reference range and abnormal trigger words can be the system default values, or they can be customized by medical staff for the corresponding patients.

[0039] In the configuration of the association group, the role label requirement is jointly determined by both parties in the current medical relationship. The system matches the recommended list of medical staff with each required role label for the patient in the current medical relationship, and the patient selects one from each medical staff recommendation list through the user terminal to join the association group. The role label requirement includes the required role label name and priority. The recommended list of medical staff with the next level of role label is obtained in sequence according to the priority. Taking nurses and nutritionists as an example, the system first calculates the recommended list of medical staff for nurses. After the patient selects one of the nurses on the user terminal, the system calculates the recommended list of nutritionists, and the patient selects from it; refer to Figure 6 , the method to obtain the recommended list of medical staff at any level is:

[0040] S1. In the list of medical staff with the current role label, remove the medical staff whose charging standards are higher than the patient's intention, and remove the medical staff whose associated patient number is saturated.

[0041] In the system of the present invention, a personnel information list is provided for each role label, and the medical personnel information list includes basic personnel information, work experience, charging standards, etc., and different medical personnel under the same role label have different charging standards; the patient inputs the maximum limit of the charge through the user terminal to pre-eliminate the medical personnel to meet the needs of the patients; in order to prevent the medical personnel with a large number of patients from affecting the work efficiency when taking on new patients, the medical personnel are pre-eliminated again to ensure the normal operation of the diagnosis and treatment service; at the same time, the above two pre-eliminations can reduce the amount of calculation when calculating the medical personnel recommendation list.

[0042] S2, calculate the matching degree S between each medical staff i with the current role label and the selected medical staff j = {1, 2, ..., J} i ,

[0043]

[0044] i represents the index of medical staff with the same required role label, j represents the index of the selected medical staff, and Y ij represents the number of years the i-th medical staff has worked with the j-th selected medical staff, α represents the correlation between the required role label and the role label corresponding to the j-th selected medical staff, N represents the number of patients commonly associated with the medical staff with the same required role label and all the selected medical staff, and nor represents the normalization of the data.

[0045] The health management system of the present invention is provided with a correlation matrix between different role labels, and the correlation is used to characterize the synergistic effect of medical personnel with different role labels on the patient's condition. The correlation α between the required role label and the role label corresponding to the th medical personnel in the association group can be queried from the correlation matrix.

[0046] Furthermore, for different chronic diseases, the correlation matrix between different role labels is also different. For example, in diabetes, the synergistic effect of doctors and nurses on patients is greater than that of doctors and nutritionists, while in obesity, the synergistic effect of nutritionists and rehabilitation therapists is greater than that of doctors and nutritionists. The correlation α between the required role label and the role label corresponding to the th medical staff in the association group can be queried from the correlation matrix of the corresponding disease.

[0047] In step s2 of the present invention, since the number of years of working together and the number of commonly associated patients are two characteristics, it is necessary to normalize these two characteristics so that the preprocessed data is limited to 0-1 to eliminate the adverse effects caused by singular sample data. The normalization of data is common knowledge in the field, and those skilled in the art can set it according to actual conditions, which will not be described in detail here.

[0048] S3, calculate the matching degree between each medical staff of the current role label and the patient. Specifically, extract the disease keywords from the current medical record data, perform vocabulary segmentation on the work experience of each medical staff in the personnel information list of the current role label, obtain a vocabulary set, calculate the similarity between the disease keywords and any vocabulary in the set, and take the highest similarity as the matching degree.

[0049] In step S3 of the present invention, the medical terms can be identified in the diagnosis result column of the current medical record data to obtain the condition keywords, or the patient can manually extract the condition keywords from the current medical record data through the user terminal. Here, the text similarity is calculated using the cosine similarity based on embedding.

[0050] S4, calculate the comprehensive matching degree:

[0051]

[0052] Z i It represents the matching degree between any medical staff with the same role label and the patient, and β represents the effect ratio of the current role label on the patient. In different chronic diseases, medical staff with different roles have different diagnostic and treatment effects on patients with different diseases. When determining the name and priority of the required role label, the doctor in the consultation relationship enters a specific priority parameter, and uses the priority parameter as the effect ratio of the current role label on the patient; it should be noted that the sum of the priority parameters of all required role labels is 1, and the higher the parameter, the higher the priority.

[0053] S5, selecting several medical personnel with high comprehensive matching degrees to form a medical personnel recommendation list, wherein the medical personnel recommendation list includes name, work experience, charging standards, etc.

[0054] It should be noted that when there are multiple role tags with the same priority, the system needs to eliminate the selected medical personnel with the same level but different role tags when generating the recommendation list for each role tag.

[0055] The system sets a rehabilitation plan status list for the associated group. When the first rehabilitation plan is empty or the current condition data is empty, the second rehabilitation plan cannot be formulated. When the corresponding first rehabilitation plan is formulated or modified, the second rehabilitation plan is locked; when the first rehabilitation plan is modified, a message reminder is sent to the user end of the assistant physician. By setting the status list, conflicts between the first rehabilitation plan and the second rehabilitation plan are prevented, the correlation between the first rehabilitation plan and the second rehabilitation plan is guaranteed, and the reliability of rehabilitation treatment is guaranteed.

[0056] In the comprehensive chronic disease management system, when there are multiple medical staff with different role labels in the associated group, the system obtains a list of medical teams based on the associated group, and sets a patient list for all patients in each medical team. All patients in the patient list interact through the user end. In this way, patients have a circle of patients with the same disease and the same doctor, and can share their medical experience in real time, obtain support and suggestions from patients, discuss the experience of reversing chronic diseases, spread health concepts, and interact with each other.

[0057] Furthermore, the medical staff in the association group configures the function modules for the patient's user terminal in the corresponding function configuration library based on the role label and the rehabilitation plan. In this system, different role labels can configure different function module permissions for patients. For example, doctors can configure the health index data entry function for patients and set the health index parameters to blood sugar, blood pressure, etc., but doctors cannot configure the diet recognition function for patients, and nutritionists are required to configure it for them.

Claims

1. A comprehensive mania health management system, including a user terminal, characterized in that: The system configures a current association group of the patient and multiple medical staff based on the current medical relationship. In the current association group, each medical staff has a different role label, and the patient and the medical staff, and each medical staff, exchange medical data through the user terminal; The diagnosis and treatment data includes health record data, medical record data and rehabilitation plan. The health record data includes health indicator data and clinical examination data. The medical record data includes offline consultation data and online consultation data. The rehabilitation plan is formulated or modified by medical personnel through the user terminal based on the medical record data and / or health record data.

2. A comprehensive Manitobaemia health management system as claimed in claim 1, characterized in that: The current consultation relationship is between a patient and a doctor, and the configuration of the association group includes the following steps: The role label requirements are determined by both parties in the current medical relationship. The system matches a recommended list of medical staff with each role label for the patient in the current medical relationship. The patient selects one from each recommended list of medical staff to join the associated group through the user terminal.

3. A comprehensive maniasis health management system as claimed in claim 2, characterized in that: The role label requirement includes the role label name and priority corresponding to the medical staff, and a recommended list of medical staff with the next level role label is obtained in sequence according to the priority. A method for obtaining a recommended list of any medical staff at any level is as follows: after excluding medical staff whose charging standards are higher than the patient's intention and whose associated patients are saturated, the matching degree between each medical staff with the same role label and the selected medical staff and patients is calculated, the comprehensive matching degree is calculated, and several medical staff with high comprehensive matching degrees are selected to form a recommended list of medical staff.

4. A comprehensive chronic disease health management system as claimed in claim 3, characterized in that: The matching degree between each medical staff with the same role label and each selected medical staff is calculated as: i represents the index of medical staff with the same required role label, j represents the index of the selected medical staff, and Y ij represents the number of years of working together between the ith medical staff and the selected ith medical staff, α represents the correlation between the required role label and the role label corresponding to the selected ith medical staff, N represents the number of patients commonly associated with the medical staff with the same required role label and all the selected medical staff, and nor represents the normalization processing of the data.

5. A comprehensive Manitobaemia health management system as claimed in claim 4, characterized in that: The matching degree between each medical staff and patient with the same role label is calculated as: Extract disease keywords from current medical record data, perform vocabulary segmentation on the work experience of each medical staff, obtain a vocabulary set, calculate the similarity between the disease keywords and any vocabulary in the set, and take the highest similarity as the matching degree.

6. A comprehensive Manitobaemia health management system as claimed in claim 5, characterized in that: The calculation of the comprehensive matching degree is: Z i It represents the matching degree between medical staff with the same role label and patients, and β represents the effect proportion of the current role label on the patient.

7. A comprehensive maniasis health management system as claimed in claim 1, characterized in that: The user terminal of the medical staff configures the function module based on the role label, and the medical staff in the associated group configures the function module for the user terminal of the patient in the corresponding function configuration library based on the role label and the rehabilitation plan.

8. A comprehensive maniasis health management system as claimed in claim 1, characterized in that: The system is provided with an abnormal warning strategy, which monitors the abnormal values ​​of the data entered by the patient, triggers the warning information sending mechanism when the abnormal value is captured, determines the sending object of the abnormal value, and sends it to its user end.

9. A comprehensive chronic disease health management system according to claim 1, characterized in that: The system obtains a list of medical teams based on the associated groups, and sets a patient list for all patients in each medical team, and all patients in the patient list interact through the user end.

10. A comprehensive chronic disease health management system according to claim 1, characterized in that: The rehabilitation program includes a first rehabilitation plan and a second rehabilitation plan. The system is provided with a rehabilitation plan status list. When the corresponding first rehabilitation plan is formulated or modified, the second rehabilitation plan is locked. After the first rehabilitation plan is formulated or modified, a message reminder is sent to the medical staff in the associated group.

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