Health management system for disease preventive treatment
By designing a health management system for disease preventive treatment, the problems of difficulty in tracking treatment progress and lack of real-time monitoring in the management of tuberculosis preventive treatment have been solved, efficient treatment management and adverse reaction monitoring have been achieved, the risk of tuberculosis transmission has been reduced, and treatment compliance and effectiveness have been improved.
Patent Information
- Application Number
- CN202510786764.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-12
- Publication Date
- 2025-09-26
AI Technical Summary
In the existing technology, the management of tuberculosis preventive treatment has difficulties in tracking treatment progress and lacks real-time monitoring and early warning mechanisms, resulting in a high risk of treatment interruption or complications. In particular, manual records at grassroots units are prone to missing medication and follow-up nodes, resulting in poor compliance.
A health management system for preventive disease treatment has been designed, including basic data management, treatment plan management, treatment reminders, adverse reaction monitoring, follow-up management, statistical analysis and doctor-patient communication modules. It uses blockchain technology to ensure data security, integrates wearable devices and voice logging functions, and provides personalized treatment plans and real-time monitoring through intelligent reminders and data monitoring, and generates detailed evaluation reports.
It improves the management efficiency of preventive treatment, reduces treatment interruptions, monitors adverse reactions in real time, provides complete follow-up records, reduces the risk of tuberculosis epidemic spread, and improves treatment efficacy and compliance.
Smart Images
Figure CN120708940A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of disease prevention, and in particular relates to a health management system for preventive treatment of diseases. Background Art
[0002] Tuberculosis (TB) is a major global public health challenge, and its prevention and control efforts have long faced challenges: late detection, difficult management, and poor compliance. Pulmonary TB is a chronic infectious disease caused by Mycobacterium tuberculosis, primarily transmitted via droplet transmission. Treatment is typically with medication, but 5% to 10% of patients may develop active TB.
[0003] Currently, primary care units in my country are responsible for providing basic public health services to patients with pulmonary tuberculosis. In addition to supervising patients' medication use, other necessary tasks include home visits to understand patients' living environments and lifestyles, providing targeted health education, and at least monthly follow-up visits to understand patients' checkups, medication use, adverse drug reactions, symptoms, and signs. However, the preventive treatment cycle for tuberculosis patients is long, typically three to nine months. Most primary care units have yet to implement treatment management for those receiving preventive treatment, and manual record-keeping can easily miss medication and follow-up nodes, making treatment progress tracking difficult and impacting the evaluation of prevention and control effectiveness. Existing follow-up visits often rely on phone or text message notifications, but changes in patient contact information and the heavy workload of medical staff increase the rate of missed reminders. There is a lack of real-time monitoring and early warning mechanisms for patients whose treatment is interrupted or lost to follow-up, which can lead to serious complications.
[0004] Therefore, a health management system for preventive disease treatment is needed to solve the problems in the existing technology of difficulty in tracking treatment progress and lack of real-time monitoring and early warning mechanisms, which may lead to treatment interruption or serious complications. Summary of the Invention
[0005] The purpose of the present invention is to provide a health management system for preventive treatment of diseases to solve the problems raised in the above background technology.
[0006] To achieve the above objectives, the present invention provides the following technical solutions: a health management system for preventive treatment of diseases, comprising:
[0007] The basic data management module includes the basic information of the patient and the examination results before the start of preventive treatment. It is used to build an electronic file of the preventive treatment patient's entire life cycle to facilitate subsequent tracking and management;
[0008] The treatment plan management module is used to record and track the treatment plan of each preventive treatment patient, including drug name, dosage, treatment cycle, treatment start and end time, various examination results during treatment, and imaging evaluation results at the end of treatment. It can automatically calculate and remind patients of each medication collection and examination time during the treatment cycle, and assess the patient's risk level of medication interruption and adverse reactions;
[0009] The treatment reminder module is responsible for automatically reminding patients to take medication / injections and follow-up examinations on time according to their medication / injection schedule. It can also generate treatment interruption risk warnings based on patients' medication / injection status for medical staff to analyze and handle;
[0010] The adverse reaction monitoring module is responsible for monitoring patients' possible adverse reactions during treatment and generating adverse reaction reports for medical staff to analyze and process. It can collect patients' physical data and generate adverse reaction reports through various means, including sending symptom questionnaires, integrating wearable devices and voice logging functions, and following up on examination results.
[0011] The follow-up management module provides follow-up services after patients complete treatment, regularly reminding patients to undergo health checks, physical examinations, and review of tuberculosis-related items, and generates follow-up tracking records. Follow-up can be in the form of telephone, online consultation, or face-to-face examination;
[0012] The statistical analysis module is used to collect and analyze various data of preventive treatment recipients and generate detailed evaluation reports, including the incidence of adverse reactions, the rate of discontinuation of treatment due to adverse reactions, the completion rate of preventive treatment, the incidence of tuberculosis during preventive treatment, the incidence of tuberculosis in those who have completed preventive treatment, and the tuberculosis protection rate of those receiving preventive treatment;
[0013] The doctor-patient communication module allows patients to communicate with their attending physicians online in a timely manner to consult about their condition and problems during treatment. The remote diagnosis and treatment module can be integrated, and patients can have remote consultations with doctors through video, voice, etc. For complex cases, patients can also request expert consultation support through the system. Doctors can share medical records and treatment plans, and jointly develop the best treatment plan to improve treatment quality and efficiency.
[0014] It should be noted in the plan that the patient's electronic file throughout his or her life cycle includes but is not limited to name, gender, age, ID number, contact information, medical history, and tuberculosis infection status; it also supports OCR recognition and docking with the regional health information platform to establish an independent health file for each patient, and uses blockchain technology to encrypt and store sensitive data to ensure privacy and security.
[0015] It is further worth mentioning that the treatment plan management module includes doctors customizing personalized treatment plans for patients and automatically generating medication / injection schedules; recording drug issuance records, injection times and dosage adjustment logs, and supporting code scanning and verification; connecting to the electronic drug supervision code system to track inventory and expiration dates in real time; based on reinforcement learning, dynamically adjusting treatment plans according to real-time patient feedback to maximize treatment effects.
[0016] It should be further explained that the treatment reminder module provides a medication / injection reminder function, and the reminder methods include text messages, phone calls, in-app notifications, and smart speaker voice assistants to ensure that patients receive treatment on time; actual medication is recorded by scanning the medicine box or by phone, and the actual injection of medicine is confirmed through the verification records of the medical institution; when the medicine is not picked up on time, an automatic pop-up warning will be issued, automatically triggering the "three-step intervention".
[0017] As a preferred embodiment, the symptom questionnaire uses a Likert 5-level scale to generate an adverse reaction severity report, which is divided into mild discomfort, moderate discomfort and severe discomfort;
[0018] If the symptom questionnaire determines that the patient is mildly unwell, a green alert is triggered and observation is continued. The symptom questionnaire is sent daily via text messages, phone calls, and app notifications for real-time monitoring.
[0019] If the symptom questionnaire determines that the patient is experiencing moderate discomfort, a yellow alert will be triggered and medication should be suspended. It is recommended that the patient go to the hospital for a follow-up examination within 24 hours.
[0020] If the symptom questionnaire determines that the patient is in severe discomfort, a red alert will be triggered immediately, the medication will be stopped immediately, a message will be sent to medical staff for immediate analysis and treatment, and the emergency procedure will be initiated.
[0021] As a preferred embodiment, the follow-up management module dynamically adjusts the follow-up frequency based on the patient's risk level and dynamically generates a personalized follow-up plan, with weekly follow-up during treatment and every three months after completion. Follow-up tasks for high-risk patients are automatically assigned to senior doctors with additional emergency contact information; follow-up tasks for low-risk patients are assigned to community nurses to reduce the use of medical resources.
[0022] At the same time, follow-up questionnaires are sent to patients on a regular basis. If the patient does not respond within 72 hours, the patient's emergency contact will be automatically called to provide feedback on the patient's current status through the emergency contact.
[0023] Record follow-up results, symptom inquiries, medication compliance scores, laboratory review arrangements, and generate follow-up tracking records to help doctors evaluate treatment effectiveness.
[0024] As a preferred implementation, the follow-up management module integrates LBS positioning function to push information of nearby review institutions to patients in remote areas.
[0025] Combined with the LBS positioning function, a virtual fence is drawn on the electronic map, for example, a range of 500 meters around the hospital. When the device enters or leaves the electronic fence area, the device sends a notification to the treatment reminder module, which automatically triggers the preset action and sends a reminder to pick up medicine / injection, thereby completing the treatment reminder for the patient.
[0026] Compared with the prior art, the health management system for disease preventive treatment provided by the present invention has at least the following beneficial effects:
[0027] The system can effectively improve the management efficiency of tuberculosis-infected patients during preventive treatment and provide convenient technical support for follow-up after treatment; it can monitor adverse reactions during treatment in real time, adjust treatment plans in a timely manner, and avoid treatment interruptions; it can provide complete follow-up tracking records to help doctors evaluate treatment effects, identify potential problems in a timely manner, and improve patients' health status; through intelligent reminders, data monitoring and report generation, it can effectively prevent tuberculosis-infected patients from becoming patients and reduce the risk of tuberculosis epidemic spread. BRIEF DESCRIPTION OF THE DRAWINGS
[0028] Figure 1 This is a block diagram of the disease prevention and health management system of the present invention. DETAILED DESCRIPTION
[0029] The present invention will be further described below with reference to the embodiments.
[0030] Reference Figure 1 As shown, the present invention provides a disease prevention and health management system, comprising:
[0031] The basic data management module includes the basic information of the patient and the examination results before the start of preventive treatment. It is used to build an electronic file of the preventive treatment patient's entire life cycle to facilitate subsequent tracking and management;
[0032] The treatment plan management module is used to record and track the treatment plan of each preventive treatment patient, including drug name, dosage, treatment cycle, treatment start and end time, various examination results during treatment, and imaging evaluation results at the end of treatment. It can automatically calculate and remind patients of each medication collection and examination time during the treatment cycle, and assess the patient's risk level of medication interruption and adverse reactions;
[0033] The treatment reminder module is responsible for automatically reminding patients to take medication / injections and follow-up examinations on time according to their medication / injection schedule. It can also generate treatment interruption risk warnings based on patients' medication / injection status for medical staff to analyze and handle;
[0034] The adverse reaction monitoring module is responsible for monitoring patients' possible adverse reactions during treatment and generating adverse reaction reports for medical staff to analyze and process. It can collect patients' physical data and generate adverse reaction reports through various means, including sending symptom questionnaires, integrating wearable devices and voice logging functions, and following up on examination results.
[0035] The follow-up management module provides follow-up services after patients complete treatment, regularly reminding patients to undergo health checks, physical examinations, and review of tuberculosis-related items, and generates follow-up tracking records. Follow-up can be in the form of telephone, online consultation, or face-to-face examination;
[0036] The statistical analysis module is used to collect and analyze various data of preventive treatment recipients and generate detailed evaluation reports, including the incidence of adverse reactions, the rate of discontinuation of treatment due to adverse reactions, the completion rate of preventive treatment, the incidence of tuberculosis during preventive treatment, the incidence of tuberculosis in those who have completed preventive treatment, and the tuberculosis protection rate of those receiving preventive treatment;
[0037] The doctor-patient communication module allows patients to communicate with their attending physicians online in a timely manner to consult about their condition and problems during treatment. The remote diagnosis and treatment module can be integrated, and patients can have remote consultations with doctors through video, voice, etc. For complex cases, patients can also request expert consultation support through the system. Doctors can share medical records and treatment plans, and jointly develop the best treatment plan to improve treatment quality and efficiency.
[0038] Regional health information platforms can establish cross-hospital and cross-department data sharing platforms, allowing doctors to access patients' medical records at different medical institutions at any time, avoiding duplicate examinations and treatments and reducing the burden on patients. Collaboration between different medical institutions can ensure the continuity and integrity of treatment plans.
[0039] The treatment plan management module allows doctors to customize personalized treatment plans for patients and automatically generate medication / injection schedules; it records medication dispensing records, injection times, and dosage adjustment logs, and supports QR code verification; it connects to the electronic drug supervision code system to track inventory and expiration dates in real time; and based on reinforcement learning (RL), it dynamically adjusts treatment plans based on real-time patient feedback to maximize treatment effectiveness.
[0040] The treatment plan management module can integrate the knowledge graph of the "Guidelines for Preventive Treatment of Tuberculosis in China" to automatically match patient characteristics (such as age, weight, liver and kidney function) with recommended plans, reducing manual decision-making bias.
[0041] It is understandable that the treatment reminder module provides a medication / injection reminder function, and the reminder methods include text messages, phone calls, in-app notifications, smart speaker voice assistants, etc., to ensure that patients receive treatment on time. It can also be combined with a smart medicine box to detect the opening and closing status of the medicine box through a gravity sensor, and automatically record the medication behavior; record the actual medication by scanning the medicine box or making a phone call, and confirm the actual injection of the injection through the medical institution's verification record; when the medicine is not picked up on time, an automatic pop-up warning will be issued, and the "three-step intervention" will be automatically triggered: SMS reminder → phone follow-up → emergency contact notification.
[0042] It's understandable that the adverse reaction monitoring module can collect patient data through various means to generate adverse reaction reports. For example, a symptom questionnaire allows patients to readily report any discomfort or side effects, such as drug allergies or temperature changes. By integrating wearable devices, smart bracelets can monitor heart rate, blood oxygen levels, and sleep quality in real time, correlating potential adverse reactions with symptom questionnaires for classification. The voice log function allows patients to describe their symptoms, which the system automatically transcribes and then fills in symptom questionnaires based on the text for classification.
[0043] Among them, the symptom questionnaire uses the Likert 5-level scale (no symptoms / mild / moderate / severe / very severe) to generate adverse reaction severity reports, which are divided into mild discomfort, moderate discomfort and severe discomfort;
[0044] If the symptom questionnaire determines that the patient is mildly unwell, a green alert is triggered and observation is continued. The symptom questionnaire is sent daily via text messages, phone calls, and app notifications for real-time monitoring.
[0045] If the symptom questionnaire determines that the patient is experiencing moderate discomfort, a yellow alert will be triggered and medication should be suspended. It is recommended that the patient go to the hospital for a follow-up examination within 24 hours.
[0046] If the symptom questionnaire determines that the discomfort is severe, a red alert will be triggered immediately, the medication will be stopped immediately, a message will be sent to medical staff for immediate analysis and treatment, and the emergency process will be initiated.
[0047] It is understandable that telephone follow-up can be done by a virtual nurse based on generative AI, which collects symptom information through natural language conversation and uses emotion recognition technology to detect patients' depressive tendencies.
[0048] The virtual nurse based on generative AI supports dialect recognition and can perform voice error correction for the names of anti-tuberculosis drugs. At the same time, it can use the mobile phone camera to detect medication movements and visual perception of adverse skin reactions, screen patients' emotions for depressive tendencies, and automatically transfer them to an artificial psychologist when high risks are found.
[0049] It is understandable that the follow-up management module dynamically adjusts the frequency of follow-up visits based on the patient's risk level and dynamically generates a personalized follow-up plan, with weekly follow-up visits during the treatment period and every 3 months after completion;
[0050] At the same time, follow-up questionnaires are sent to patients on a regular basis. If the patient does not respond within 72 hours, the patient's emergency contact will be automatically called to provide feedback on the patient's current status through the emergency contact.
[0051] Record follow-up results, symptom inquiries, medication compliance scores, laboratory review arrangements, and generate follow-up tracking records to help doctors evaluate treatment effectiveness.
[0052] Follow-up tasks for high-risk patients are automatically assigned to senior doctors, and emergency contact information is added; follow-up tasks for low-risk patients are assigned to community nurses to reduce the use of medical resources.
[0053] Combined with the LBS positioning function, a virtual fence is drawn on the electronic map, for example, a range of 500 meters around the hospital. When the device enters or leaves the electronic fence area, the device sends a notification to the medication reminder module. The medication reminder module automatically triggers the preset action and sends a medication collection reminder, thereby completing the medication collection reminder for the patient.
[0054] LBS (Location-Based Service) is a technology system that uses mobile device positioning technology to obtain the user's geographic location and then provide location-related information services. Its core principle is to calculate device coordinates using multi-source positioning data (satellite, base station, Wi-Fi, etc.) and combine it with the Geographic Information System (GIS) to realize scenario-based services.
[0055] According to the above working process, it can be seen that: the system can remind patients to take medicine and injections on time according to the treatment plan, reduce manual operations and improve management efficiency; through regular reminders and intelligent tracking, ensure that patients receive treatment on time and reduce the risk of missed diagnosis and missed treatment; monitor adverse reactions during treatment in real time, adjust treatment plans in time, and avoid treatment interruptions; provide complete follow-up tracking records to help doctors evaluate treatment effects, discover potential problems in time, and improve patients' health status; automatically generate various statistical reports to provide data support for hospitals and units, and optimize treatment plans and health management measures.
[0056] The process of using the above-mentioned disease prevention and health management system is as follows:
[0057] Step 1: Patients provide personal information through the basic data management module. The system supports OCR recognition technology to automatically extract and upload relevant medical document information and connect with the regional health information platform to ensure the accuracy and completeness of the information.
[0058] Step 2: The treatment plan management module will record the patient's treatment plan, including key data such as drug name, dosage, treatment cycle, treatment start and end time, assess the patient's health risks, and provide the corresponding risk level of adverse reactions;
[0059] Step 3: Set up the treatment reminder module and the automatic reminder function, which will automatically send reminders based on the patient's medication / injection schedule to ensure that the patient complies with the treatment plan on time;
[0060] Step 4: The adverse reaction monitoring module will monitor the patient's reaction in real time, record any possible adverse reactions, and automatically generate adverse reaction reports. The reports will be sent to the patient's medical staff for analysis and processing;
[0061] Step 5: After the treatment is completed, the system provides regular follow-up services through the follow-up management module. Follow-up records will be automatically archived by the system, making it convenient for medical staff to track and analyze the patient's subsequent health status;
[0062] Step 6: The statistical analysis module summarizes and analyzes all patients' treatment data, generating a detailed evaluation report to help medical institutions understand the overall effectiveness of treatment. During treatment, patients can communicate online with their attending physicians through the doctor-patient communication module. Whether it's questions about treatment or updates on their condition, patients can communicate with their doctors in a timely manner. Doctors can answer patients' questions and adjust treatment plans based on actual conditions.
[0063] In summary, the advantages of the present invention are: the system can effectively improve the management efficiency of tuberculosis-infected patients during preventive treatment, and provide convenient technical support for follow-up after treatment; monitor adverse reactions during treatment in real time, adjust treatment plans in a timely manner, and avoid unexpected problems during treatment; provide complete follow-up tracking records to help doctors evaluate treatment effects, discover potential problems in a timely manner, and improve patients' health status; through intelligent reminders, data monitoring and report generation, it can effectively prevent tuberculosis-infected patients from becoming patients and reduce the risk of tuberculosis epidemic spread.
[0064] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions merely illustrate the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.
Claims
1. A health management system for preventive treatment of diseases, characterized in that: include: The basic data management module includes the basic information of the patient and the examination results before the start of preventive treatment. It is used to build an electronic file of the preventive treatment patient's entire life cycle to facilitate subsequent tracking and management; The treatment plan management module is used to record and track the treatment plan of each preventive treatment patient, including drug name, dosage, treatment cycle, treatment start and end time, various examination results during treatment, and imaging evaluation results at the end of treatment. It can automatically calculate and remind patients of each medication collection and examination time during the treatment cycle, and assess the patient's risk level of medication interruption and adverse reactions; The treatment reminder module is responsible for automatically reminding patients to take medication / injections and follow-up examinations on time according to their medication / injection schedule. It can also generate treatment interruption risk warnings based on patients' medication / injection status for medical staff to analyze and handle; The adverse reaction monitoring module is responsible for monitoring patients' possible adverse reactions during treatment and generating adverse reaction reports for medical staff to analyze and process. It can collect patients' physical data and generate adverse reaction reports through various means, including sending symptom questionnaires, integrating wearable devices and voice logging functions, and following up on examination results. The follow-up management module provides follow-up services after patients complete treatment, regularly reminding patients to undergo health checkups and review of tuberculosis-related items, and generates follow-up tracking records. Follow-up can be in the form of telephone, online consultation or face-to-face examination; The statistical analysis module is used to collect and analyze various data of preventive treatment recipients and generate detailed evaluation reports, including the incidence of adverse reactions, the rate of discontinuation of treatment due to adverse reactions, the completion rate of preventive treatment, the incidence of tuberculosis during preventive treatment, the incidence of tuberculosis in those who have completed preventive treatment, and the tuberculosis protection rate of those receiving preventive treatment; The doctor-patient communication module allows patients to communicate with their attending physicians online in a timely manner to consult about their condition and problems during treatment.
2. A health management system for preventive treatment of diseases according to claim 1, characterized in that: The patient's full life cycle electronic file includes but is not limited to name, gender, age, ID number, contact information, medical history, and tuberculosis infection status; it supports OCR recognition and docking with the regional health information platform to establish an independent health file for each patient, and uses blockchain technology to encrypt and store sensitive data to ensure privacy and security.
3. A health management system for preventive treatment of diseases according to claim 2, characterized in that: The treatment plan management module includes a doctor who customizes a personalized treatment plan for the patient and automatically generates a medication / injection schedule; records medication dispensing records, injection times, and dosage adjustment logs, and supports QR code verification; Connect to the drug electronic supervision code system to track inventory and expiration dates in real time; Based on reinforcement learning, the treatment plan is dynamically adjusted according to the patient's real-time feedback to maximize the treatment effect.
4. A health management system for preventive treatment of diseases according to claim 3, characterized in that: The treatment reminder module provides a medication / injection reminder function, and the reminder methods include text messages, phone calls, in-app notifications, and smart speaker voice assistants to ensure that patients receive treatment on time; actual medication intake is recorded by scanning the medicine box or by phone, and the actual injection of medicine is confirmed through the medical institution's verification records; if the medicine is not picked up on time, an automatic pop-up warning will be issued, automatically triggering the "three-step intervention".
5. A disease prevention and health management system according to claim 4, characterized in that: The symptom questionnaire uses a 5-level Likert scale to generate a report on the degree of adverse reactions, which is divided into mild discomfort, moderate discomfort, and severe discomfort; If the symptom questionnaire determines that the patient is mildly unwell, a green alert is triggered and observation is continued. The symptom questionnaire is sent daily via text messages, phone calls, and app notifications for real-time monitoring. If the symptom questionnaire determines that the patient is experiencing moderate discomfort, a yellow alert will be triggered and medication should be suspended. It is recommended that the patient go to the hospital for a follow-up examination within 24 hours. If the symptom questionnaire determines that the patient is in severe discomfort, a red alert will be triggered immediately, the medication will be stopped immediately, a message will be sent to medical staff for immediate analysis and treatment, and the emergency procedure will be initiated.
6. A disease prevention and health management system according to claim 5, characterized in that: The follow-up management module dynamically adjusts the follow-up frequency based on the patient's risk level and dynamically generates a personalized follow-up plan, with weekly follow-up during the treatment period and every three months after the end of the treatment period; At the same time, follow-up questionnaires are sent to patients on a regular basis. If the patient does not respond within 72 hours, the patient's emergency contact will be automatically called to provide feedback on the patient's current status through the emergency contact. Record follow-up results, symptom inquiries, medication compliance scores, laboratory review arrangements, and generate follow-up tracking records to help doctors evaluate treatment effectiveness.