Chronic infectious disease patient management system
By designing a chronic infectious disease patient management system, the problems of patient resistance and doctors' difficulty in accurately obtaining information about the patient's condition were solved. This system enabled efficient patient information recording and treatment plan optimization, thereby improving treatment outcomes and patient compliance.
Patent Information
- Application Number
- CN202410141049.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-01-31
- Publication Date
- 2026-02-10
AI Technical Summary
Patients with chronic infectious diseases often resist treatment, making it difficult for doctors to accurately assess their condition. The existing medical management system is unable to effectively manage these patients, increasing the workload for doctors.
Design a chronic infectious disease patient management system, including a registration module, an information database, a management platform, and a feedback module, to record and analyze patient information, provide treatment plans and lifestyle guidance, support patient feedback on discomfort symptoms, and utilize a collaboration module and a decision tree algorithm for disease monitoring and treatment plan optimization.
It improved treatment management efficiency, reduced doctors' workload, enhanced patients' treatment compliance, improved treatment effectiveness and the timeliness of patient feedback, and reduced patients' resistance to seeking medical treatment.
Smart Images
Figure CN121506411A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of medical technology, and in particular to a chronic infectious disease patient management system. Background Technology
[0002] Infectious diseases are infectious diseases that are transmitted to another person or species through various routes. These diseases can typically be transmitted through direct contact with an infected individual, the bodily fluids and excrement of an infected person, or objects contaminated by an infected person. Transmission can occur through the air, water, food, contact, soil, vertical transmission (mother-to-child transmission), bodily fluid transmission, and fecal-oral transmission. Among these, HIV / AIDS, hepatitis B, hepatitis C, and tuberculosis are considered chronic infectious diseases. Chronic infectious diseases have a serious impact on the physical health of patients and also have negative impacts on families and society.
[0003] Because the treatment cycle for chronic infectious diseases is long, it requires the joint efforts of medical staff and patients to complete the treatment. However, patients with chronic infectious diseases often experience subjective abnormalities, emotional reactions, and medication refusal, leading to resistance to medical treatment and making it difficult for doctors to accurately understand their condition. Furthermore, the fact that patients with chronic infectious diseases are managed under the same medical management system as other patients in hospitals hinders effective management of these patients and increases the workload of doctors. Summary of the Invention
[0004] To address the aforementioned problems, this invention provides a chronic infectious disease patient management system, which can improve the efficiency of hospital treatment and management of chronic infectious disease patients, and also enables chronic infectious disease patients to provide timely feedback on their condition.
[0005] To achieve the above objectives, the radix scheme adopted in this invention is as follows:
[0006] A chronic infectious disease patient management system includes a registration module, an information database, and a management platform.
[0007] The registration module is used to register the patient's identity information, physical information, chronic infectious disease type information, chronic infectious disease condition information, and other medical history information;
[0008] The information database is used to store data on the characteristics of chronic infectious diseases, historical treatment plans, and precautions.
[0009] The management platform includes a doctor's workstation, a patient information station, and a feedback module.
[0010] The doctor's workstation is used to obtain collaborative information on treatment plans based on the registration module and the data acquired by the registration module, and the doctor's workstation is also used to input examination data during the patient's treatment process;
[0011] The patient information station is used to acquire data from the registration module, the doctor's workstation, and the information database to extract and generate information such as medication plans, medical treatment plans, and lifestyle precautions. The data from the patient information station is sent to the patient's terminal so that the patient can obtain relevant information about treatment and life.
[0012] The feedback module is used by patients to input their discomfort information through the patient terminal.
[0013] Furthermore, the doctor's workstation includes a collaboration module and a treatment plan customization module.
[0014] The collaboration module matches the data of physical information, chronic infectious disease type information, chronic infectious disease condition information and other medical history information in the registration module with the data in the information database to analyze and obtain reference case information for the patient. The collaboration module obtains a collaboration plan from the reference case through keyword extraction.
[0015] The treatment plan customization module is used for data acquisition by the collaboration module to formulate a treatment plan.
[0016] Furthermore, the collaboration module uses data such as physical information, chronic infectious disease type information, chronic infectious disease condition information, and other medical history information as matching items, and the collaboration module calculates the similarity of each matching item in each case, and selects cases where the similarity of each matching item is greater than the similarity threshold as candidate cases.
[0017] The collaboration module sets a corresponding matching coefficient for each matching item, calculates the matching degree of each matching item based on the similarity of the matching items and the matching coefficient of the matching items, and selects the candidate case with the largest sum of matching degrees as the reference case.
[0018] Furthermore, the doctor's workstation includes an examination data acquisition module and an examination data analysis module.
[0019] The examination data acquisition module is used to acquire patient examination information to obtain the patient's examination data at each stage, and the examination data includes body measurement parameters and biochemical indicators.
[0020] The examination data analysis module is used to acquire data from the examination data acquisition module. The examination data analysis module sets corresponding baseline thresholds and change thresholds for each examination data based on the patient's physical information, chronic infectious disease type information, chronic infectious disease condition information, and other medical history information. When the patient's examination data exceeds the baseline threshold or when the change value of the patient's adjacent examination data exceeds the change threshold, the examination data analysis module issues an abnormality reminder signal.
[0021] Furthermore, the doctor's workstation also includes an anomaly analysis module, which is used for data acquisition from the examination data analysis module and the information database. The anomaly analysis module analyzes the abnormal examination data with the disease characteristics data of the chronic infectious disease and the historical treatment plan data through a decision tree algorithm to obtain an anomaly handling plan.
[0022] Furthermore, the doctor's workstation also includes a drug maintenance module, which is used to acquire data on drugs entering the warehouse, and obtains information on drugs nearing their expiration date based on the expiration date information of the drugs entering the warehouse; the drug maintenance module recommends corresponding drugs nearing their expiration date based on the treatment plan.
[0023] Furthermore, the patient information station includes a treatment information module and a lifestyle information module.
[0024] The treatment information module extracts the corresponding patient's treatment plan, consultation plan, medication name, dosage, and medication time from the treatment plan to obtain the correct medication plan;
[0025] The lifestyle information module matches the patient's physical information, chronic infectious disease type information, chronic infectious disease condition information, and other medical history information with the food and exercise-related data in the precautions section based on the data from the registration module and the information database to obtain recommended food and exercise information.
[0026] Furthermore, the patient information station also includes an appointment reminder module. This module obtains appointment time information based on the treatment plan and sends the appointment time information to the patient terminal so that the patient can make an appointment through the patient terminal. The appointment reminder module is also used for patient appointment monitoring. If no appointment for the patient is found after the appointment time has passed, the appointment reminder module sends an appointment timeout reminder including patient information to the doctor's workstation.
[0027] Furthermore, the feedback module constructs a human body guidance model, and the human body guidance model is interconnected with the information database. After the patient selects the corresponding part in the human body guidance model, he / she can obtain guidance options on the relevant discomfort and the severity of the discomfort, so that the patient can obtain the corresponding discomfort information.
[0028] Furthermore, the feedback module uses data from the registration module, the information database, and the doctor's workstation to determine the urgency of the discomfort information based on the patient's information data, the patient's treatment plan data, and the disease characteristics data of chronic infectious diseases. When the urgency level is greater than a threshold, the feedback module sends an emergency reminder to the doctor's workstation.
[0029] The beneficial effects of this invention are:
[0030] 1. The registration module records and stores patient information, facilitating doctors' understanding of patient data. The information database provides data support for the information needed during treatment, reducing the workload for doctors and providing auxiliary treatment information for patients. During treatment, doctors use the doctor's workstation to obtain collaborative information on treatment plans. By referring to data on the characteristics of chronic infectious diseases and historical treatment plans, the doctor determines the patient's treatment plan, ensuring it is tailored to the patient, improving treatment outcomes, and reducing the doctor's workload. Simultaneously, through the patient information station, patients can obtain medication plans, appointment plans, and lifestyle precautions online, receiving the treatment information they need without frequent hospital visits. This reduces patient resistance and anxiety about illness. Furthermore, the feedback module allows patients to input symptoms, enabling doctors to understand the patient's condition promptly, thereby improving treatment plans or urging patients to seek medical attention.
[0031] 2. Due to the significant differences among patients, this invention compares and matches the patient's physical information, chronic infectious disease type information, chronic infectious disease condition information, and other medical history information with chronic infectious disease condition characteristic data and historical treatment plan data in the information database. At the same time, it introduces similarity and matching coefficients to increase the correlation between the obtained reference cases and the patient's condition, thereby increasing the effectiveness of the treatment plan and improving the patient's treatment outcome.
[0032] 3. By calculating the examination data of each patient's test and judging whether the examination data is within the baseline threshold and whether the change value of the examination data is within the change threshold, the patient's condition can be automatically monitored. This also makes it easier for doctors to analyze the patient's treatment effect and condition information, enabling doctors to improve the treatment plan based on the patient's treatment effect and condition information, thereby improving the patient's treatment outcome. Attached Figure Description
[0033] Figure 1 This is a structural block diagram of a chronic infectious disease patient management system according to a preferred embodiment of the present invention.
[0034] In the diagram, 1-Registration module, 2-Information database, 3-Management platform, 31-Doctor workstation, 311-Collaboration module, 312-Treatment plan customization module, 313-Examination data acquisition module, 314-Examination data analysis module, 315-Abnormality analysis module, 316-Drug maintenance module, 32-Patient information station, 321-Treatment information module, 322-Life information module, 323-Diagnosis reminder module, 33-Feedback module, 4-Patient terminal. Detailed Implementation
[0035] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0036] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.
[0037] Please see Figure 1 A preferred embodiment of the chronic infectious disease patient management system of the present invention includes a registration module 1, an information database 2, and a management platform 3.
[0038] Registration module 1 is used to register patients' identity information, physical information, chronic infectious disease type information, chronic infectious disease condition information, and other medical history information.
[0039] Information database 2 is used to store data on the characteristics of chronic infectious diseases, historical treatment plans, and precautions. In this embodiment, information database 2 is connected to a medical big data platform to obtain relevant data.
[0040] The management platform 3 includes a doctor workstation 31, a patient information station 32, and a feedback module 33.
[0041] The doctor workstation 31 is used to obtain collaborative information on treatment plans based on the data acquired by the registration module 1 and the registration module 1. The doctor workstation 31 is also used for entering examination data during the patient's treatment process.
[0042] The registration module 1 records and stores patient information to facilitate doctors' understanding of the patient's information later. With the help of the information database 2, it provides data support for the information needed in the treatment process, reduces the workload of doctors, and can provide patients with auxiliary treatment information. During the treatment process, doctors use the doctor workstation 31 to obtain collaborative information on the treatment plan. By referring to the disease characteristics data of chronic infectious diseases and historical treatment plan data, the doctor determines the patient's treatment plan, so that the treatment plan can be matched with the patient, improve the patient's treatment effect, and reduce the workload of doctors.
[0043] The doctor workstation 31 includes a collaboration module 311, a treatment plan customization module 312, an examination data acquisition module 313, an examination data analysis module 314, an anomaly analysis module 315, and a drug maintenance module 316.
[0044] The collaboration module 311 matches the data of physical information, chronic infectious disease type information, chronic infectious disease condition information and other medical history information in the registration module 1 with the data in the information database 2 to analyze and obtain reference case information for the patient. The collaboration module 311 obtains the collaboration plan from the reference case through keyword extraction.
[0045] The collaboration module 311 uses data such as physical information, chronic infectious disease type information, chronic infectious disease condition information and other medical history information as matching items, and the collaboration module 311 calculates the similarity of each matching item in each case, and selects cases whose similarity of each matching item is greater than the similarity threshold as candidate cases.
[0046] The collaboration module 311 sets corresponding matching coefficients for each matching item, calculates the matching degree of each matching item based on the similarity of the matching items and the matching coefficients of the matching items, and selects the candidate case with the largest sum of matching degrees as the reference case.
[0047] The treatment plan customization module 312 is used to acquire data from the collaboration module 311 in order to formulate a treatment plan.
[0048] Because of the significant differences between patients, this invention compares and matches the patient's physical information, chronic infectious disease type information, chronic infectious disease condition information, and other medical history information with the chronic infectious disease condition characteristics data and historical treatment plan data in information database 2. At the same time, it introduces similarity and matching coefficients to increase the correlation between the obtained reference cases and the patient's condition, thereby increasing the effectiveness of the treatment plan and improving the patient's treatment effect.
[0049] The examination data acquisition module 313 is used to acquire patient examination information to obtain examination data for each stage of the patient's examination, and the examination data includes physical measurement parameters and biochemical indicators.
[0050] The examination data analysis module 314 is used to examine the data acquisition module 313. The examination data analysis module 314 sets corresponding baseline thresholds and change thresholds for each examination data according to the patient's physical information, chronic infectious disease type information, chronic infectious disease condition information, and other medical history information. When the patient's examination data exceeds the baseline threshold or when the change value of the patient's adjacent examination data exceeds the change threshold, the examination data analysis module 314 issues an abnormality reminder signal.
[0051] By calculating the examination data of each patient's test and judging whether the examination data is within the baseline threshold and whether the change value of the examination data is within the change threshold, the patient's condition is automatically monitored. This also makes it easier for doctors to analyze the patient's treatment effect and condition information, enabling doctors to improve the treatment plan based on the patient's treatment effect and condition information, thereby improving the patient's treatment outcome.
[0052] The anomaly analysis module 315 is used to check the data acquisition of the data analysis module 314 and the information database 2. The anomaly analysis module 315 uses a decision tree algorithm to analyze abnormal examination data with chronic infectious disease disease characteristic data and historical treatment plan data to obtain anomaly handling plans. Under the function of the anomaly analysis module 315, abnormal conditions of patients can be quickly identified, preventing missed optimal treatment times and ensuring the stability of the patient's condition.
[0053] The drug maintenance module 316 is used to acquire data on drugs entering the warehouse, and it obtains information on drugs nearing their expiration date based on the expiration date information of the drugs entering the warehouse. The drug maintenance module 316 also recommends corresponding drugs nearing their expiration date based on the treatment plan. Through the function of the drug maintenance module 316, expired drugs can be avoided, reducing hospital losses and expenses.
[0054] The patient information station 32 is used to register data from module 1, doctor workstation 31 and information database 2 to extract and generate information such as medication plan, medical treatment plan and life precautions. The data from the patient information station 32 is sent to the patient terminal 4 so that the patient can obtain relevant information about treatment and life.
[0055] The patient information station 32 includes a treatment information module 321, a life information module 322, and a visit reminder module 323.
[0056] The treatment information module 321 extracts the corresponding patient's treatment plan, consultation plan, medication name, dosage and time of administration from the treatment plan to obtain the correct medication plan.
[0057] The life information module 322 matches the patient's physical information data, chronic infectious disease type information data, chronic infectious disease condition information data and other medical history information data with the food and exercise-related data in the precautions based on the data from the registration module 1 and information database 2 to obtain recommended food information and recommended exercise information.
[0058] With the help of the patient information station 32, patients can obtain medication plans, medical treatment plans and life precautions through the patient terminal 4. They can obtain the treatment information they need online without having to go to the hospital frequently, which reduces patients' resistance to medical treatment and their psychological state of illness. Moreover, through the feedback module 33, patients can input their discomfort symptoms, so that doctors can understand the patient's condition in a timely manner, thereby improving the treatment plan or urging the patient to seek medical treatment.
[0059] The appointment reminder module 323 obtains appointment time information based on the treatment plan and sends this information to the patient terminal 4, enabling the patient to schedule an appointment through the terminal. The module also monitors appointments; if no appointment is found by the scheduled time, it sends an appointment time reminder, including patient information, to the doctor's workstation 31. This module reminds patients to regularly visit the hospital for checkups, allowing doctors to monitor their condition through examination data. If a patient forgets an appointment or is unwilling to visit, the module sends a reminder to the doctor's workstation 31, enabling medical staff to persuade the patient to attend the appointment via telephone or other means to avoid delaying treatment.
[0060] The feedback module 33 has a human body guidance model, which is interconnected with the information database 2. After the patient selects the corresponding part in the human body guidance model, he / she can obtain guidance options on the relevant discomfort and the severity of the discomfort, so that the patient can obtain the corresponding discomfort information.
[0061] The feedback module 33 uses data from the registration module 1, the information database 2, and the doctor's workstation 31 to determine the urgency of the discomfort information based on the patient's information data, the patient's treatment plan data, and the disease characteristics data of chronic infectious diseases. When the urgency level is greater than the threshold, the feedback module 33 sends an emergency reminder to the doctor's workstation 31.
[0062] With the help of the feedback module 33, patients can describe their discomfort without going to the hospital. At the same time, through the human body guidance model, patients can accurately describe their discomfort, improving the accuracy of the feedback module 33 in judging the degree of urgency. In this embodiment, the feedback module 33 is connected to the doctor's workstation 31 so that the doctor can receive an emergency reminder signal through the doctor's workstation 31 to quickly deal with the patient's discomfort.
[0063] The usage process of the chronic infectious disease patient management system in this embodiment is as follows:
[0064] S1. Store the identity information, physical information, chronic infectious disease type information, chronic infectious disease condition information, and other medical history information of patients with chronic infectious diseases in the registration module 1;
[0065] S2. The doctor obtains the collaborative plan based on the collaborative module 311 and determines the treatment plan in the treatment plan customization module 312;
[0066] S3. After each test, the examination data analysis module 314 analyzes the patient's examination data. When the patient's examination data exceeds the baseline threshold or when the change value of the patient's adjacent examination data exceeds the change threshold, the examination data analysis module 314 issues an abnormality reminder signal. The abnormality analysis module 315 uses a decision tree algorithm to analyze the abnormal examination data with the disease characteristics data of chronic infectious diseases and historical treatment plan data to obtain an abnormality handling plan.
[0067] S4. During the treatment process, the patient obtains treatment plan, consultation plan, medication name, dosage and medication time information from the treatment information module 321 through the patient terminal 4, and obtains recommended food information and recommended exercise information from the life information module 322.
[0068] S5. When a patient experiences discomfort, the patient selects the corresponding body part and the severity of discomfort in the human body guidance model in the feedback module 33 according to the discomfort. The feedback module 33 judges and analyzes the urgency of the discomfort information based on the patient's information data, the patient's treatment plan data, and the disease characteristics data of chronic infectious diseases. When the urgency is greater than the threshold, the feedback module 33 sends an emergency reminder to the doctor's workstation 31.
Claims
1. A chronic infectious disease patient management system, characterized in that, It includes a registration module (1), an information database (2), and a management platform (3). The registration module (1) is used for registering the patient's identity information, physical information, chronic infectious disease type information, chronic infectious disease condition information, and other medical history information; The information database (2) is used to store data on the characteristics of chronic infectious diseases, historical treatment plans, and precautions. The management platform (3) includes a doctor's workstation (31), a patient information station (32), and a feedback module (33). The doctor workstation (31) is used to obtain collaborative information on treatment plans based on the data acquired by the registration module (1) and the registration module (1), and the doctor workstation (31) is also used to input examination data during the patient's treatment process; The patient information station (32) is used to acquire data from the registration module (1), the doctor workstation (31) and the information database (2) to extract and generate information on medication plans, medical treatment plans and life precautions. The data from the patient information station (32) is sent to the patient terminal (4) so that the patient can obtain relevant information on treatment and life. The feedback module (33) is used by the patient to input their discomfort information through the patient terminal (4).
2. The chronic infectious disease patient management system according to claim 1, characterized in that: The doctor's workstation (31) includes a collaboration module (311) and a treatment plan customization module (312). The collaboration module (311) matches the data of the body information, chronic infectious disease type information, chronic infectious disease condition information and other medical history information in the registration module (1) with the data in the information database (2) to analyze and obtain reference case information for the patient. The collaboration module (311) obtains the collaboration plan in the reference case by extracting keywords. The treatment plan customization module (312) is used for data acquisition by the collaboration module (311) to formulate a treatment plan.
3. The chronic infectious disease patient management system according to claim 2, characterized in that: The collaboration module (311) uses data such as physical information, chronic infectious disease type information, chronic infectious disease condition information and other medical history information as matching items, and the collaboration module (311) calculates the similarity of each matching item in each case, and selects cases whose similarity of each matching item is greater than the similarity threshold as candidate cases. The collaboration module (311) sets a corresponding matching coefficient for each matching item, calculates the matching degree of each matching item based on the similarity of the matching items and the matching coefficient of the matching items, and selects the candidate case with the largest sum of matching degrees as the reference case.
4. The chronic infectious disease patient management system according to claim 1, characterized in that: The doctor's workstation (31) includes an examination data acquisition module (313) and an examination data analysis module (314). The examination data acquisition module (313) is used to acquire patient examination information to obtain the patient's examination data at each stage, and the examination data includes body measurement parameters and biochemical indicators. The examination data analysis module (314) is used for data acquisition by the examination data acquisition module (313). The examination data analysis module (314) sets corresponding baseline thresholds and change thresholds for each examination data according to the patient's physical information, chronic infectious disease type information, chronic infectious disease condition information, and other medical history information. When the patient's examination data is greater than the baseline threshold and when the change value of the patient's adjacent examination data is greater than the change threshold, the examination data analysis module (314) issues an abnormality reminder signal.
5. The chronic infectious disease patient management system according to claim 4, characterized in that: The doctor workstation (31) also includes an anomaly analysis module (315), which is used for data acquisition from the examination data analysis module (314) and the information database (2). The anomaly analysis module (315) analyzes the abnormal examination data with the disease characteristics data of the chronic infectious disease and the historical treatment plan data through a decision tree algorithm to obtain an anomaly handling plan.
6. The chronic infectious disease patient management system according to claim 1, characterized in that: The doctor workstation (31) also includes a drug maintenance module (316), which is used to acquire data on drugs entering the warehouse, and obtains information on drugs nearing their expiration date based on the expiration date information of the drugs entering the warehouse; the drug maintenance module (316) recommends corresponding drugs nearing their expiration date based on the treatment plan.
7. The chronic infectious disease patient management system according to claim 1, characterized in that: The patient information station (32) includes a treatment information module (321) and a life information module (322). The treatment information module (321) obtains the correct medication plan by extracting the corresponding patient treatment plan, consultation plan, medication name, dosage and medication time from the treatment plan. The life information module (322) matches the patient's physical information data, chronic infectious disease type information data, chronic infectious disease condition information data and other medical history information data with the food and exercise-related data in the precautions based on the data of the registration module (1) and the information database (2) to obtain recommended food information and recommended exercise information.
8. A chronic infectious disease patient management system according to claim 7, characterized in that: The patient information station (32) also includes an appointment reminder module (323), which obtains appointment time information according to the treatment plan and sends the appointment time information to the patient terminal (4) so that the patient can make an appointment time through the patient terminal (4); the appointment reminder module (323) is also used for patient appointment monitoring. When the appointment time has expired and no appointment time for the patient has been found, the appointment reminder module (323) sends an appointment time overdue reminder including patient information to the doctor workstation (31).
9. A chronic infectious disease patient management system according to claim 1, characterized in that: The feedback module (33) constructs a human body guidance model, and the human body guidance model is interconnected with the information database (2). After the patient selects the corresponding part in the human body guidance model, he / she can obtain guidance options on the relevant discomfort and the severity of the discomfort, so that the patient can obtain the corresponding discomfort information.
10. A chronic infectious disease patient management system according to claim 9, characterized in that: The feedback module (33) uses data from the registration module (1), the information database (2), and the doctor's workstation (31) to determine the urgency of the discomfort information based on the patient's information data, the patient's treatment plan data, and the disease characteristics data of chronic infectious diseases. When the urgency is greater than a threshold, the feedback module (33) sends an emergency reminder to the doctor's workstation (31).