General practitioner workstation and chronic disease management method based on general practitioner workstation

Abstract

Provided in the present invention is a general practitioner workstation, comprising a resident health profile creation module, a chronic disease screening module, a chronic disease assessment module and a chronic disease follow-up module, and further comprises an identity information recognition and input module, a health information input and update module, a population tagging module, an identity card reading / radio-frequency information recognition module, a medical insurance card / electronic medical insurance code recognition module, etc. The general practitioner workstation of the present invention can solve the problems, in chronic disease management, of a resident health profile creation procedure being cumbersome, a plurality of discrete devices being inconvenient to carry and making it difficult to summarize test results, the level of intelligence in chronic disease assessment being low, it being impossible to automatically generate a follow-up plan, and it being impossible to automatically adjust a management scheme on the basis of a follow-up result, thereby comprehensively improving the quality and efficiency of medical services, and providing more scientific, comprehensive and personalized medical services. Also provided in the present invention are a chronic disease management method and a corresponding product.

Description

A general practitioner workstation and a chronic disease management method based on the general practitioner workstation Technical Field

[0001] This invention relates to physician workstations, and more particularly to a portable general practitioner workstation, belonging to the field of medical electronic equipment. Background Technology

[0002] A general practitioner workstation / all-in-one machine is a medical electronic device mainly used by community general practitioners to assist them in carrying out community medical work.

[0003] Patent CN201698435U relates to a community doctor-assisted diagnostic device, which consists of a separate main unit, display, keyboard, and data acquisition device. It only allows basic patient information input via the keyboard, and the data acquisition device can only collect a small amount of basic lesion data. Its function is limited to preliminary diagnosis and referral. This auxiliary diagnostic device has limited detection capabilities, single function, low integration, and is not portable.

[0004] Patent CN108720929A relates to a portable integrated physical examination machine, comprising multiple separate testing instruments, multiple communication interfaces, a physical examination data processing device, and a packaging shell with a slot. The number of testing instruments and communication interfaces is the same, and each testing instrument must connect to the integrated machine through a corresponding, fixed communication interface. Each testing instrument is stored in the slot; when in use, the testing instrument is removed from the slot and connected to the integrated machine through its corresponding, fixed communication interface for testing. Although this integrated physical examination machine integrates multiple testing instruments and a physical examination data processing device into a single packaging shell, each testing instrument is a separate instrument, resulting in a large size. Furthermore, the physical examination data processing device can only perform data storage and simple report generation and submission functions, lacking functions such as record keeping, screening, diagnosis, and referral.

[0005] It is evident that the existing general practitioner workstations have limited functions, only assisting general practitioners in carrying out a portion of community medical work. They have low levels of intelligence and automation, are bulky, and have low integration, making them inconvenient for general practitioners to carry when making house calls and only allowing them to complete a portion of the medical work.

[0006] Furthermore, existing portable diagnostic and treatment devices and all-in-one machines used in communities cannot provide full-process management functions for chronic diseases.

[0007] Chronic diseases, also known as chronic non-communicable diseases (NCDs), refer to a group of diseases that are not contagious or spread among the population, have a long course, and usually develop slowly. They mainly include: cardiovascular diseases, such as hypertension, coronary heart disease, and stroke; malignant tumors, such as stomach cancer and lung cancer; nutritional and metabolic diseases, such as diabetes, gout, and obesity; oral diseases, such as dental caries and periodontal disease; and mental illnesses, such as mental disorders and depression.

[0008] The target group for chronic disease management is "patients with chronic diseases and high-risk groups". my country is promoting the construction of a "community health service institution-hospital" chronic disease hierarchical management system. Based on community health service institutions, health records of community residents are established, especially chronic disease management records of community residents. On this basis, chronic disease screening, chronic disease assessment, referral and treatment of chronic patients and high-risk groups who need hospitalization, and long-term chronic disease follow-up are carried out to provide high-quality chronic disease management services to community residents.

[0009] In the current chronic disease management, community health service institutions and community general practitioners often need to install relevant software on computers, complete the establishment of residents' health records through cumbersome information input, conduct relevant tests on community residents using independent testing equipment, input the test results into the software, and determine whether each community resident belongs to the "chronic patient and high-risk group" according to the experience of the community general practitioner, i.e., chronic disease management subjects. Then, based on the specific situation of the chronic disease management subjects, they need to determine whether referral to a higher-level hospital is necessary. When conducting home visits to chronic disease management subjects, they also need to bring various testing equipment to conduct corresponding tests.

[0010] It is evident that the existing community-based chronic disease management has the following problems: the process of establishing resident health records for chronic disease management is cumbersome; computer terminals and testing equipment are separate and inconvenient to carry; the test results of each testing device cannot be automatically summarized; the level of intelligence in the preliminary assessment of chronic diseases is low; and the follow-up plan cannot be automatically generated or the chronic disease management plan cannot be automatically adjusted based on the follow-up results.

[0011] Summary of the Invention

[0012] To address the aforementioned shortcomings in the existing technology, this invention provides a portable, multifunctional, highly integrated general practitioner workstation capable of achieving intelligent management of the entire chronic disease process.

[0013] To achieve the above-mentioned objectives, this invention provides a general practitioner workstation, comprising: a resident record-keeping module, a chronic disease screening module, a chronic disease assessment module, and a chronic disease follow-up module. Wherein:

[0014] The resident registration module is used to enter residents' identity and health information during their first medical visit, and to match population tags based on the identity and health information.

[0015] The chronic disease screening module is used to identify target groups based on identity and health information, provide chronic disease screening plans for the identified target groups, and provide screening prompts based on the chronic disease screening plans to assist residents in completing the chronic disease screening and obtaining screening results.

[0016] The chronic disease assessment module is used to provide the corresponding chronic disease risk level or risk value based on the screening results, recommend hospitals for patients to choose from based on the risk level / risk value, and make a diagnosis based on the screening results or the diagnosis results after referral.

[0017] The chronic disease follow-up module is used to develop follow-up plans based on the diagnosis results, make follow-up appointments, record follow-up examinations, evaluate follow-up results, and develop updated chronic disease treatment and management plans.

[0018] The resident registration module includes an identity information recognition and entry module, which is used to identify and enter residents' identity information.

[0019] The identity information recognition and entry module includes: ID card reading / RFID information recognition module, ID card image information recognition module, medical insurance card / electronic medical insurance code recognition module, contact information entry module, and face image entry module.

[0020] The system includes several modules: an ID card reader / RFID module connected to a built-in ID card reader for recognizing information from ID cards read by the reader; an ID card image recognition module connected to a rear camera for recognizing images of ID cards captured by the rear camera and extracting information such as name, ID number, and photo; and a medical insurance card / electronic medical insurance code recognition module connected to both a built-in medical insurance card reader and a rear camera for recognizing medical insurance card information via the built-in reader and scanning electronic medical insurance codes via the rear camera. A contact information input module connected to a touchscreen or keyboard is used to input resident contact information via the touchscreen or keyboard. A face image input module connected to a front camera is used to input and recognize face images captured by the front camera. The touchscreen can be a capacitive touchscreen, other types of touchscreens, or a non-touchscreen display.

[0021] The contact information input module can also input resident identity information via touch screen or keyboard; the ID card image information recognition module can also connect to the front camera to perform image recognition on ID cards captured by the front camera and extract information such as name, ID number, and photo; the face image input module can also connect to the rear camera to input and recognize face images captured by the rear camera; and the medical insurance card / electronic medical insurance code recognition module can also connect to the front camera to scan the electronic medical insurance code through the front camera to identify and input resident identity information.

[0022] The identity information recognition and entry module can also update identity information.

[0023] The resident registration module also includes a health information entry and update module, used to enter and / or update residents' health information. This module allows for the entry and updating of health information through questionnaires, physical examination results / medical records, and other methods. It updates residents' identity and health information when changes occur. Specifically, health information includes at least one of the following: smoking history, family history, alcohol consumption, and characteristic indicators. Characteristic indicators include: blood pressure, blood glucose, blood lipids, uric acid, body temperature, height, weight, hemoglobin, glycated hemoglobin, urinalysis, white blood cells, ultrasound, electrocardiogram, biochemistry, fetal heart rate, and jaundice.

[0024] The health information entry and update module can also obtain residents' health information based on the resident identity information entered by the identity information recognition module. For example, it can obtain residents' health information based on the resident identity information and corresponding medical insurance information obtained from the medical insurance card / electronic medical insurance code by the medical insurance card / electronic medical insurance code recognition module.

[0025] The resident registration module also includes a population tag determination module, which incorporates intelligent assisted diagnosis and precise algorithm models. This module identifies the resident's identity information entered through the identity information recognition module and the health information entered through the health information entry and update module, matching the resident's population tag accordingly. Population tags include, for example: elderly (age ≥ 60 years); adults (18 years ≤ age < 60 years); infants, toddlers, and preschool children (0 years ≤ age ≤ 6 years); and school-aged children and adolescents (7 years ≤ age ≤ 17 years).

[0026] The questionnaire included a question about whether the patient was pregnant.

[0027] The population tagging module can also match updated population tags in real time based on updated identity information and updated health information.

[0028] The resident registration module also includes a privacy protection module for encrypting the entered identity and health information. The privacy protection module employs the MD5 encryption algorithm and asymmetric encryption algorithms. MD5 (Message-Digest Algorithm 5) is a widely used hash function that generates a 128-bit (16-byte) hash value, typically used for data integrity verification. The privacy protection module also uses asymmetric encryption, also known as public-key encryption, a cryptographic method that uses a pair of keys for encryption and decryption: a public key and a private key. These two keys are mathematically related, but the private key cannot be derived from the public key.

[0029] In accordance with data security level requirements, the privacy protection module also performs password verification and recipient trust level identification when sending data containing personal health information over the network; and performs password verification and acquisition of basic information of the receiving device when transmitting data over the USB interface.

[0030] The chronic disease screening module is connected to the resident record-keeping module and includes: a target population identification module, a screening plan identification module, and a screening module. The target population identification module identifies the target population based on identity and health information. The screening plan identification module provides pre-determined screening plans for each target population type, which are stored in the all-in-one machine or network. The screening module provides screening prompts based on the screening plan to assist residents in completing the chronic disease screening and obtaining results.

[0031] The target population types include: people with hypertension; people with diabetes; people with hyperlipidemia; people with hyperuricemia; people with stroke; people with heart disease; and obese people. These target population types are also known as chronic disease risk labels.

[0032] The screening program includes tests and questionnaires. The tests include: blood pressure, blood sugar, blood lipids, uric acid, body temperature, height, weight, hemoglobin, glycated hemoglobin, urinalysis, white blood cells, ultrasound, electrocardiogram, biochemistry, fetal heart rate, jaundice, etc. The questionnaire includes a health questionnaire.

[0033] After the screening plan determination module determines the screening plan, it displays each test item and / or questionnaire of the screening plan on the display screen of the all-in-one machine so that doctors and / or residents can make selections. Doctors / residents can also add or remove test items based on the test items and questionnaires provided by the screening plan. Based on the selected and / or added or removed test items and questionnaires, the screening plan determination module determines the final screening plan and sends it to the screening module.

[0034] After receiving the screening plan, the screening module activates the corresponding testing equipment one by one according to the testing items in the screening plan, and provides prompts on the integrated machine display screen and the testing equipment to assist residents in completing the tests one by one; according to the questionnaire in the screening plan, the questionnaire content is displayed on the integrated machine display screen for residents to complete the questionnaire.

[0035] The all-in-one machine includes the following testing devices: electrocardiogram (ECG), non-invasive blood pressure, pulse oximetry, pulse rate, heart rate, respiratory rate, and body temperature. It can also connect to the following external testing devices: body temperature, height, weight, ultrasound, fetal heart rate monitor, bone densitometer, Holter monitor, pulmonary function test, arteriosclerosis analyzer, urinalysis, blood glucose, uric acid, blood ketones, blood lipids, hemoglobin, glycated hemoglobin, total cholesterol, white blood cell counter, complete blood count, fluorescence immunoassay analyzer, and biochemical analyzer. The all-in-one machine provides multiple external interfaces, allowing multiple external devices to connect and test simultaneously. Furthermore, all external interfaces have intelligent connection identification capabilities, enabling any external device to connect to the all-in-one machine through any of its interfaces for testing and data transmission. During intelligent connection identification, the all-in-one machine identifies the USB PID (Product ID) / VID (Vendor ID) of the external device via the USB interface to determine the device category and establish a connection.

[0036] The chronic disease assessment module is connected to the chronic disease screening module. The chronic disease assessment module includes: chronic disease risk assessment module, referral module, and diagnosis module.

[0037] The chronic disease risk assessment module compares the screening results of the chronic disease screening module with the indicators and standards in the chronic disease management guidelines to determine the risk level, risk value, or probability of developing chronic diseases.

[0038] The referral module is connected to the chronic disease risk assessment module. It recommends suitable hospitals based on the assessed risk level / value or probability of disease, and displays the recommendations on the all-in-one machine's screen for doctors / patients to choose from. Patients can also filter the recommendations based on their needs. After selecting a target hospital, the referral module sends the referral request and the patient's examination results to the selected hospital. The hospital then provides appointment slots to complete the registration process, and the patient can go there for treatment.

[0039] The diagnostic module is connected to the chronic disease risk assessment module and the referral module, and is used to make a diagnosis based on the screening results or the diagnostic results after referral. Specifically, when a diagnosis can be made based on the screening results, the diagnostic module makes a diagnosis based on the screening results; when a diagnosis cannot be made based on the screening results, the diagnostic module can make a diagnosis based on the diagnostic results returned by the referring hospital.

[0040] The diagnostic module can also develop treatment and management plans for chronic diseases based on the diagnostic results.

[0041] The diagnosis module is also connected to the resident record module, which is used to update residents' health records after a diagnosis is made.

[0042] The chronic disease follow-up module is connected to the chronic disease assessment module. The chronic disease follow-up module includes: follow-up plan development module, follow-up appointment module, follow-up examination record module, psychological assessment module, follow-up evaluation module, and customized health knowledge push module.

[0043] The follow-up plan development module generates a follow-up plan based on the diagnosis results, including a follow-up schedule and the specific examinations required. The schedule is detailed down to the month, week, or day. Reminder SMS messages / mobile app notifications are sent to patients on and before the due date, and reminders are also sent to general practitioners via a one-stop service. The one-stop service displays a master schedule of follow-up times for all patients, allowing general practitioners to have a comprehensive understanding of the follow-up plans for all patients and identify which patients require follow-up each month, week, and day. Follow-up examinations include specific tests and questionnaires.

[0044] The follow-up appointment module is connected to the follow-up plan creation module. It's used to confirm appointments with patients before each follow-up visit according to the planned schedule. Patients can go to the hospital or community health service center for follow-up visits. For patients with mobility issues, the appointment can be scheduled during the follow-up appointment period, with a general practitioner bringing the all-in-one device to the patient's home for the visit. The all-in-one device integrates various examination functions required for home visits and can also complete the recording of home visit procedures. The device itself features a retractable stand and is equipped with a high-capacity battery, making it easy to store and carry, quick to open, and with a long battery life.

[0045] The follow-up examination recording module is connected to the follow-up plan development module and is used for examination and recording during the follow-up process to monitor changes in the patient's condition. Follow-up examination items include: blood pressure, blood glucose, blood lipids, uric acid, body temperature, height, weight, body mass index (BMI), hemoglobin, glycated hemoglobin, urinalysis, white blood cells, ultrasound, electrocardiogram, biochemistry, fetal heart rate, and jaundice. Based on the follow-up examination items in the follow-up plan developed by the follow-up plan development module, the follow-up examination recording module activates the corresponding testing equipment one by one, providing prompts on the all-in-one machine display screen and the testing equipment to assist residents in completing each test and obtaining follow-up examination results. Simultaneously, it can also display the questionnaire content on the all-in-one machine display screen for residents to complete, obtaining follow-up questionnaire results. The follow-up examination results and / or follow-up questionnaire results constitute the follow-up examination record results.

[0046] The follow-up evaluation module, connected to the follow-up examination record module, is used to obtain follow-up results based on the follow-up examination records. These results are then used to evaluate the patient's condition and develop updated chronic disease treatment and management plans. After obtaining the follow-up results, they can be compared with the confirmed diagnosis / previous follow-up results to determine changes in the patient's condition. Based on the follow-up results and these changes, the patient's condition is evaluated, and updated chronic disease treatment and management plans are developed.

[0047] The psychological assessment module, connected to the chronic disease assessment module, is used to conduct psychological assessments for specific residents, such as those with mental disorders or depression. During the follow-up phase, the psychological assessment module prompts for psychological health guidance.

[0048] The follow-up evaluation module is also connected to the psychological assessment module, which can obtain follow-up results based on the follow-up examination records and follow-up psychological assessment results.

[0049] The customized health knowledge delivery module, connected to the follow-up evaluation module, is used to deliver customized health education information based on follow-up results and / or changes in the patient's condition. Delivery methods include, but are not limited to, SMS, telephone notifications, corresponding mobile applications (APPs), corresponding mini-programs, and public accounts. By delivering health education content, it aims to disseminate knowledge about chronic disease prevention and control to patients, guiding them on proper diet and appropriate exercise. The customized health knowledge delivery module can also first push customized health education information to the all-in-one machine's display screen for review by general practitioners, and then deliver it to residents and patients after approval.

[0050] This invention also provides a chronic disease management method based on a general practitioner workstation, comprising:

[0051] Resident registration: When residents visit a general practitioner's office for the first time, they enter their identity and health information. The general practitioner's office then matches the identity and health information to generate population tags.

[0052] Chronic disease screening: The general practitioner workstation identifies the target population based on identity and health information, provides a chronic disease screening plan for the identified target population type, and provides screening tips based on the chronic disease screening plan to assist residents in completing the chronic disease screening and obtaining the screening results.

[0053] Chronic disease assessment: The general practitioner workstation provides the corresponding chronic disease risk level or risk value based on the screening results, recommends hospitals for patients to choose from based on the risk level / risk value, and makes a diagnosis based on the screening results or the diagnosis results after referral.

[0054] Chronic disease follow-up: The general practitioner workstation develops a follow-up plan based on the diagnosis results, makes follow-up appointments, records follow-up examinations, evaluates the follow-up results, and develops updated chronic disease treatment and management plans.

[0055] According to an embodiment of the present invention, the input of identity information includes: identifying and inputting information from a resident ID card using an ID card reader built into a general practitioner workstation, or taking a picture of the ID card using a built-in camera, extracting information such as the name, ID number, and photo, and inputting it.

[0056] According to an embodiment of the present invention, the entry of identity information may further include: reading and scanning the medical insurance card and electronic medical insurance code through a medical insurance card reader built into the general practitioner workstation and / or a front-facing camera / rear-facing camera, so as to identify and enter the resident's identity information.

[0057] According to an embodiment of the present invention, health information entry includes completing a "scale-based questionnaire" and / or entering physical examination results / medical records, etc. The general practitioner workstation generates the "scale-based questionnaire," which includes at least one of the following information: smoking history, family history, alcohol consumption, characteristic indicators, etc. Characteristic indicators include: blood pressure, blood glucose, blood lipids, uric acid, body temperature, height, weight, hemoglobin, glycated hemoglobin, urinalysis, white blood cells, ultrasound, electrocardiogram, biochemistry, fetal heart rate, jaundice, etc. The general practitioner workstation can receive and identify physical examination reports, medical records, etc., extract health information from them, and enter it into the system. The scale-based questionnaire includes an inquiry into whether the patient is pregnant.

[0058] According to embodiments of the present invention, entering health information may further include: obtaining the resident's health information based on the entered resident identity information. For example, obtaining the resident's health information based on the resident identity information obtained from the medical insurance card / electronic medical insurance code and its corresponding medical insurance information.

[0059] According to embodiments of the present invention, updated population tags can be matched in real time based on updated identity information and updated health information.

[0060] According to an embodiment of the present invention, the resident profile is a dynamic profile, updated in real time based on changes in resident identity information, health information, diagnosis status, etc. For example, in subsequent chronic disease follow-ups, if a resident's characteristic indicators change, the population tag will be automatically updated after the changed health information is entered.

[0061] According to an embodiment of the present invention, when sending data containing personal health information via a network, password verification and recipient trustworthiness identification are performed, based on data security level requirements; when transmitting data via a USB interface, password verification and acquisition of basic information of the receiving device are performed.

[0062] According to an embodiment of the present invention, the general practitioner workstation provides a corresponding screening plan based on the identified target population type. The screening plan includes test items, questionnaires, etc. The test items include: blood pressure, blood glucose, blood lipids, uric acid, body temperature, height, weight, body mass index (BMI), hemoglobin, glycated hemoglobin, urinalysis, white blood cells, ultrasound, electrocardiogram, biochemistry, fetal heart rate, jaundice, etc.; the questionnaire includes a health questionnaire.

[0063] According to an embodiment of the present invention, when determining a screening plan, doctors and patients can select or add test items in the screening plan to obtain the final screening plan.

[0064] According to an embodiment of the present invention, after the screening plan is determined, the general practitioner workstation starts the corresponding testing equipment one by one, and provides prompts on the workstation display screen and the testing equipment respectively to assist residents in completing the tests one by one; according to the questionnaire in the screening plan, the questionnaire content is displayed on the workstation display screen for residents to complete the questionnaire.

[0065] According to an embodiment of the present invention, the general practitioner workstation compares the screening results with the indicators and standards in the chronic disease management guidelines to determine the risk level, risk value, and probability of chronic disease. Based on the assessed risk level / value or probability of disease, it recommends suitable hospitals for doctors / patients to choose for referral. Alternatively, it can screen according to the patient's needs. After selecting a target hospital for referral, the general practitioner workstation sends the referral request and the patient's examination results to the selected hospital. The hospital provides appointment slots to complete the registration, and the patient can go there for examination and diagnosis.

[0066] According to an embodiment of the present invention, when a diagnosis can be made based on the screening results, the general practitioner workstation confirms the diagnosis based on the screening results; when a diagnosis cannot be made based on the screening results, the general practitioner workstation confirms the diagnosis based on the diagnostic results returned by the referring hospital. After confirmation, the general practitioner workstation formulates a treatment and management plan for chronic diseases and updates the resident's health record based on the diagnosis results.

[0067] According to an embodiment of the present invention, the general practitioner workstation formulates a follow-up plan based on the diagnosis results, including a follow-up schedule and follow-up examination content. Reminder SMS / patient mobile app notifications are sent to patients on the due date and before the due date, and reminders are also sent to the general practitioner. The general practitioner can have a comprehensive understanding of the follow-up plans for all patients based on the follow-up schedule. Follow-up examination content includes follow-up examination items, follow-up questionnaires, etc.

[0068] According to an embodiment of the present invention, the general practitioner workstation makes an appointment confirmation with the patient before each follow-up visit based on the follow-up plan. After confirmation, the patient can go to the hospital or community health service center for follow-up visit. For patients with mobility difficulties, the general practitioner can be scheduled to bring the workstation to their home for follow-up visit when making the follow-up appointment.

[0069] According to an embodiment of the present invention, during follow-up, general practitioners use a workstation to conduct examinations and record data to monitor changes in the patient's condition. Follow-up examination items include: blood pressure, blood glucose, blood lipids, uric acid, body temperature, height, weight, body mass index (BMI), hemoglobin, glycated hemoglobin, urinalysis, white blood cells, ultrasound, electrocardiogram, biochemistry, fetal heart rate, and jaundice. Based on the follow-up examination items in the follow-up plan, the general practitioner's workstation activates the corresponding testing equipment one by one, providing prompts on the display screen and the testing equipment to assist residents in completing each test and obtaining follow-up examination results. Simultaneously, questionnaire content can be displayed on the screen for residents to complete, resulting in follow-up questionnaire results. The follow-up examination results and / or follow-up questionnaire results constitute the follow-up examination record results.

[0070] According to embodiments of the present invention, the method further includes conducting psychological assessments on specific residents, such as patients with mental disorders or depression, obtaining psychological assessment results, and providing mental health guidance based on the psychological assessment results during the follow-up phase.

[0071] According to an embodiment of the present invention, after the follow-up is completed, the general practitioner workstation obtains the follow-up results based on the follow-up examination records, or the follow-up examination records and follow-up psychological assessment results. Based on these follow-up results, the workstation evaluates the patient's condition and formulates an updated chronic disease treatment and management plan. The general practitioner workstation can also compare the follow-up results with the confirmed diagnosis / previous follow-up results to obtain changes in the patient's condition. Based on the follow-up results and changes in the patient's condition, the workstation evaluates the patient's condition and formulates an updated chronic disease treatment and management plan.

[0072] Based on follow-up results and / or changes in the patient's condition, the general practitioner workstation can push customized health education information. Push methods include, but are not limited to, SMS, telephone notifications, corresponding mobile applications (APPs), corresponding mini-programs, and public accounts. Customized health education information includes knowledge on chronic disease prevention and control, recommendations for a balanced diet, and suggestions for appropriate exercise. Before pushing the information, the general practitioner workstation can prompt the general practitioner to review the content.

[0073] The present invention also provides a general practitioner workstation, comprising: a memory and a processor;

[0074] The memory is used to store program code and transmit the program code to the processor;

[0075] The processor is used to execute the chronic disease management method based on the general practitioner workstation as described above, according to the instructions in the program code.

[0076] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the aforementioned method.

[0077] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the aforementioned method.

[0078] The general practitioner workstation of this invention effectively solves the problems existing in community chronic disease management, such as cumbersome resident health record creation processes, separate and inconvenient computer terminals and testing equipment, the inability to automatically summarize test results from various devices, low level of intelligence in preliminary chronic disease assessment, and the inability to automatically generate follow-up plans and adjust chronic disease management programs based on follow-up results. It can comprehensively improve the quality and efficiency of medical services, providing patients with more scientific, comprehensive, and personalized medical services. Specifically, it includes the following aspects:

[0079] 1) Improve medical efficiency: The general practitioner workstation can centrally manage patient information, electronic medical records, laboratory results and imaging data, enabling doctors to obtain and process information more quickly, thereby improving work efficiency.

[0080] 2) Optimize patient management: Through systematic patient management, long-term tracking and management of patients with chronic diseases can be achieved, treatment plans can be adjusted in a timely manner, and the risk of disease deterioration can be reduced.

[0081] 3) Personalized medical services: Based on patients' historical data and disease characteristics, general practitioner workstations can provide personalized treatment suggestions and health guidance to improve treatment outcomes and patient satisfaction.

[0082] 4) Reduce medical errors: It can reduce medical errors caused by unclear writing or incomplete information, ensuring that doctors have accurate and complete information when making diagnostic and treatment decisions.

[0083] 5) Convenient communication platform: Workstations typically include communication tools for doctors, patients, nurses, and other parties, facilitating information exchange and collaboration, and improving the overall quality of medical services.

[0084] 6) Data Analysis and Prediction: Through big data analysis and artificial intelligence technology, the workstation can analyze a large amount of patient data, predict disease trends and incidence risks, and help doctors make more informed decisions.

[0085] 7) Patient self-management push: The workstation can provide patients with self-management tools, such as health monitoring, reminders and educational resources, to encourage patients to actively participate in chronic disease management and improve treatment adherence and health management capabilities.

[0086] 8) Reduce healthcare costs: By optimizing resource allocation and reducing unnecessary examinations and hospitalizations, general practitioner workstations can help reduce overall healthcare costs and improve the efficiency of healthcare resource utilization. Attached Figure Description

[0087] Figure 1 is a product structure diagram of the general practitioner workstation of the present invention.

[0088] Figure 2 is a product structure diagram of the resident record-keeping module in the general practitioner workstation of the present invention.

[0089] Figure 3 is a product structure diagram of the identity information recognition and input module in the resident filing module of the present invention and its interaction with the built-in ID card reader, touch screen, keyboard, front camera and rear camera.

[0090] Figure 4 is a product structure diagram of the chronic disease screening module in the general practitioner workstation of the present invention and its connection relationship with the touch screen and the detection device.

[0091] Figure 5 is a product structure diagram of the chronic disease assessment module in the general practitioner workstation of the present invention.

[0092] Figure 6 is a product structure diagram of the chronic disease follow-up module in the general practitioner workstation of the present invention.

[0093] Figure 7 is a flowchart of the chronic disease management method based on a general practitioner workstation according to the present invention.

[0094] Figure 8 is a hardware circuit diagram of the general practitioner workstation of the present invention. Detailed Implementation

[0095] The general practitioner workstation of this invention is a medical electronic device that provides intelligent and automated services for community general practitioners and residents throughout the entire process of community health services and community chronic disease management, including community resident record keeping, chronic disease screening, chronic disease assessment, and chronic disease follow-up.

[0096] Figures 1-6 are structural diagrams of the main product of the general practitioner workstation of the present invention. Referring to Figures 1-6, the general practitioner workstation of the present invention mainly includes the following modules:

[0097] 1. Resident file creation module

[0098] The resident registration module is used to enter residents' identity and health information during their first medical visit, and to match population tags based on the identity and health information.

[0099] As shown in Figure 2, the resident registration module includes an identity information recognition and input module, a health information input and update module, a population tag determination module, and a privacy protection module.

[0100] The identity information recognition and entry module is used to identify and enter residents' identity information. As shown in Figure 3, it includes: an ID card reading / RFID information recognition module, an ID card image information recognition module, a medical insurance card / electronic medical insurance code recognition module, a contact information entry module, and a face image entry module.

[0101] The ID card reader / RFID module connects to the built-in ID card reader for recognizing the information on the ID card read by the reader. The ID card image recognition module connects to the front and rear cameras for recognizing the image of the ID card captured by the cameras and extracting information such as name, ID number, and photo. The medical insurance card / electronic medical insurance code recognition module connects to the built-in medical insurance card reader, the front camera, and the rear camera, respectively, for recognizing medical insurance card information through the built-in medical insurance card reader and / or for recognizing identity information by scanning the electronic medical insurance code through the front / rear camera. The contact information input module connects to the touchscreen or keyboard for inputting resident contact information entered via the touchscreen or keyboard. The face image input module connects to the front and rear cameras for inputting and recognizing face images captured by the cameras. The touchscreen can be a capacitive touchscreen, other types of touchscreens, or a non-touchscreen display.

[0102] In one embodiment of the present invention, the ID card image information recognition module is connected only to the rear camera, and the face image input module is connected only to the front camera.

[0103] In one embodiment of the present invention, the identity information recognition and entry module is capable of updating identity information.

[0104] The health information entry and update module uses a questionnaire and a physical examination / medical record entry module to enter and update health information. It updates resident identity and health information when changes occur. Specifically, health information includes at least one of the following: smoking history, family history, alcohol consumption, and characteristic indicators. Characteristic indicators include: blood pressure, blood sugar, blood lipids, uric acid, body temperature, height, weight, hemoglobin, glycated hemoglobin, urinalysis, white blood cells, ultrasound, electrocardiogram, biochemistry, fetal heart rate, and jaundice. The questionnaire includes a question about whether the patient is pregnant.

[0105] In one embodiment of the present invention, the health information entry and update module obtains the resident's health information based on the resident's identity information entered by the identity information recognition entry module. For example, the resident's health information is obtained from the resident's identity information and its corresponding medical insurance information obtained from the medical insurance card / electronic medical insurance code by the medical insurance card / electronic medical insurance code recognition module.

[0106] The population tagging module incorporates intelligent assisted diagnosis and precise algorithm models. It identifies the resident's identity information entered by the identity information recognition module and the health information entered by the health information entry and update module, and then matches these with the resident's population tag. Population tags include, for example: elderly (age ≥ 60 years); adults (18 years ≤ age < 60 years); infants, toddlers, and preschool children (0 years ≤ age ≤ 6 years); and school-aged children and adolescents (7 years ≤ age ≤ 17 years).

[0107] In one embodiment of the present invention, the resident's population label is mainly matched based on the gender and age in the identity information.

[0108] In one embodiment of the present invention, the population tag determination module can match the updated population tag in real time based on the updated identity information and the updated health information.

[0109] The privacy protection module encrypts the entered identity and health information. It employs both MD5 and asymmetric encryption algorithms. MD5 (Message-Digest Algorithm 5) is a widely used hash function that generates a 128-bit (16-byte) hash value, typically used for data integrity verification. The privacy protection module also uses asymmetric encryption, also known as public-key encryption, a cryptographic method that uses a pair of keys for encryption and decryption: a public key and a private key. These two keys are mathematically related, but the private key cannot be derived from the public key.

[0110] In one embodiment of the present invention, according to data security level requirements, the privacy protection module also performs password verification and identification of the trustworthiness of the recipient when sending data containing personal health information outward via the network; and performs password verification and acquisition of basic information of the receiving device when transmitting data outward via the USB interface.

[0111] 2. Chronic disease screening module

[0112] The chronic disease screening module is connected to the resident record-keeping module, as shown in Figure 4. The chronic disease screening module includes: a target population determination module, a screening plan determination module, and a screening module. The target population determination module is connected to the population tag determination module in the resident record-keeping module. Both the screening plan determination module and the screening module are connected to the touchscreen. The screening module is also connected to blood pressure monitoring devices, blood glucose monitoring devices, etc.

[0113] The target population identification module is used to identify the target population based on identity and health information.

[0114] The screening protocol determination module is connected to the target population determination module to provide chronic disease screening protocols for the identified target population types. The screening protocol includes testing items and questionnaires. The testing items include: blood pressure, blood glucose, blood lipids, uric acid, body temperature, height, weight, hemoglobin, glycated hemoglobin, urinalysis, white blood cells, ultrasound, electrocardiogram, biochemistry, fetal heart rate, and jaundice. The questionnaire includes a health questionnaire.

[0115] The target population includes individuals with hypertension, diabetes, hyperlipidemia, hyperuricemia, stroke, heart disease, and obesity. These target population types are also known as chronic disease risk labels.

[0116] In one embodiment of the present invention, the screening schemes for each population type are predetermined and stored in an all-in-one machine or network.

[0117] In one embodiment of the present invention, the screening scheme for each population type is based on the test items recommended by the algorithm.

[0118] In one embodiment of the present invention, the screening program may include screening for disease types. For example, for the elderly, the screening program may include screening for: hypertension, diabetes, chronic obstructive pulmonary disease, stroke, obesity, thalassemia, colon disease, heart disease, physical condition of the elderly, vision and sensation, mental health, fitness, breast cancer, lung cancer, colorectal cancer, etc.

[0119] After the screening plan determination module determines the screening plan, it displays each test item and / or questionnaire of the screening plan on the display screen of the all-in-one machine so that doctors and / or residents can make selections. Doctors / residents can also add or remove test items based on the test items and questionnaires provided by the screening plan. Based on the selected and / or added or removed test items and questionnaires, the screening plan determination module determines the final screening plan and sends it to the screening module.

[0120] The screening module is connected to the screening plan determination module and is used to provide screening prompts based on the chronic disease screening plan to assist residents in completing the chronic disease screening and obtaining screening results. Specifically, after receiving the screening plan, the screening module activates the corresponding testing equipment one by one according to the test items in the screening plan, and provides prompts on the all-in-one machine display screen and the testing equipment respectively to assist residents in completing the tests item by item; according to the questionnaire in the screening plan, the module displays the questionnaire content on the all-in-one machine display screen for residents to complete the questionnaire.

[0121] The all-in-one machine includes the following testing devices: electrocardiogram (ECG), non-invasive blood pressure, pulse oximetry, pulse rate, heart rate, respiratory rate, and body temperature. It can also connect to the following external testing devices: body temperature, height, weight, ultrasound, fetal heart rate monitor, bone densitometer, Holter monitor, pulmonary function test, arteriosclerosis analyzer, urinalysis, blood glucose, uric acid, blood ketones, blood lipids, hemoglobin, glycated hemoglobin, total cholesterol, white blood cell counter, complete blood count, fluorescence immunoassay analyzer, and biochemical analyzer. The all-in-one machine provides multiple external interfaces, allowing multiple external devices to connect and test simultaneously. Furthermore, all external interfaces have intelligent connection identification capabilities, enabling any external device to connect to the all-in-one machine through any of its interfaces for testing and data transmission. During intelligent connection identification, the all-in-one machine identifies the USB PID (Product ID) / VID (Vendor ID) of the external device via the USB interface to determine the device category and establish a connection.

[0122] 3. Chronic Disease Assessment Module

[0123] The chronic disease assessment module is connected to the chronic disease screening module, as shown in Figure 5. The chronic disease assessment module includes: a chronic disease risk assessment module, a referral module, and a diagnosis module. The chronic disease risk assessment module is connected to the screening module within the chronic disease screening module.

[0124] The chronic disease risk assessment module compares the screening results from the screening module with the indicators and standards in the chronic disease management guidelines to determine the risk level, risk value, or probability of developing chronic diseases.

[0125] In one embodiment of the invention, risk levels are 1 to 4, and risk values ​​are 1 to 10. Risk values ​​1 to 3 belong to risk level 1, risk values ​​4 to 6 belong to risk level 2, risk values ​​7 to 9 belong to risk level 3, and risk value 10 belongs to risk level 4 (the highest level); or, for example, risk values ​​1 to 3 are set separately within each risk level. Simultaneously, the chronic disease risk assessment module provides recommendations for continued follow-up or direct referral. If continued follow-up is chosen, medication recommendations are provided, including the drug name, frequency of use, dosage, and method of administration.

[0126] In one embodiment of the present invention, when determining the risk level and risk value, the assessment can be based on two or more aspects of the screening results, either individually or comprehensively. The test results of each item are individually or comprehensively evaluated to correspond to a risk level / risk value. For example, if the value of test item A is too high, it corresponds to level 4 and a risk value of 10; if the value of test item A is moderately high and the value of test item B is moderately high, it also corresponds to level 3 and a risk value of 8; if the value of test item A is moderately high and the value of test item B is low, it corresponds to level 2 and a risk value of 5.

[0127] In one embodiment of the present invention, an AI algorithm is used to automatically calculate the probability of a target population suffering from a certain disease based on factors such as gender, age, and characteristic indicators. For example, the AI ​​algorithm can automatically calculate the probability of an elderly person suffering from stroke based on their gender, age, systolic blood pressure, total cholesterol, history of diabetes, and smoking history.

[0128] The referral module is connected to the chronic disease risk assessment module and is used to recommend suitable hospitals based on the assessed risk level / value or probability of disease. The recommendations are displayed on the all-in-one machine's screen for doctors / patients to select. Patients can also filter the recommendations based on their needs. After selecting a target hospital, the referral module sends the referral request and the patient's examination results to the selected hospital. The hospital then provides appointment slots to complete the registration process, and the patient can go there for treatment.

[0129] The diagnostic module is connected to the chronic disease risk assessment module and the referral module, and is used to make a diagnosis based on the screening results or the diagnostic results after referral. Specifically, when a diagnosis can be made based on the screening results, the diagnostic module makes a diagnosis based on the screening results; when a diagnosis cannot be made based on the screening results, the diagnostic module can make a diagnosis based on the diagnostic results returned by the referring hospital.

[0130] The diagnosis module can develop treatment and management plans for chronic diseases based on the diagnosis results. The diagnosis module is also linked to the resident record module to update residents' health records after diagnosis.

[0131] 4. Chronic disease follow-up module

[0132] The chronic disease follow-up module is connected to the chronic disease assessment module. Referring to Figure 6, the chronic disease follow-up module includes: a follow-up plan development module, a follow-up appointment module, a follow-up examination record module, a psychological assessment module, a follow-up evaluation module, and a customized health knowledge delivery module. The follow-up plan development module is connected to the diagnosis module within the chronic disease assessment module.

[0133] The follow-up plan development module develops a follow-up plan based on the diagnosis results, including the follow-up plan schedule and follow-up examination content. The follow-up plan schedule is sent to the follow-up appointment module, and the follow-up examination content is sent to the follow-up examination record module.

[0134] In one embodiment of the invention, the follow-up schedule is specified monthly, weekly, or daily. Reminder SMS messages / patient mobile app notifications are sent to patients on and before the due date, and reminders are also sent to general practitioners via an all-in-one device. The all-in-one device displays a master schedule of follow-up times for all patients, allowing general practitioners to have a comprehensive understanding of the follow-up plans for all patients and identify which patients require follow-up each month / week / day. Follow-up examinations include follow-up examination items and follow-up questionnaires.

[0135] The follow-up appointment module is connected to the follow-up plan creation module. It's used to confirm appointments with patients before each follow-up visit according to the planned schedule. Patients can go to the hospital or community health service center for follow-up visits. For patients with mobility issues, the appointment can be scheduled during the follow-up appointment period, with a general practitioner bringing the all-in-one device to the patient's home for the visit. The all-in-one device integrates various examination functions required for home visits and can also complete the recording of home visit procedures. The device itself features a retractable stand and is equipped with a high-capacity battery, making it easy to store and carry, quick to open, and with a long battery life.

[0136] The follow-up examination recording module is connected to the follow-up plan development module and is used for examination and recording during the follow-up process to monitor changes in the patient's condition. Follow-up examination items include: blood pressure, blood glucose, blood lipids, uric acid, body temperature, height, weight, body mass index (BMI), hemoglobin, glycated hemoglobin, urinalysis, white blood cells, ultrasound, electrocardiogram, biochemistry, fetal heart rate, and jaundice. Based on the follow-up examination items in the follow-up plan developed by the follow-up plan development module, the follow-up examination recording module activates the corresponding testing equipment one by one, providing prompts on the all-in-one machine display screen and the testing equipment to assist residents in completing each test and obtaining follow-up examination results. Simultaneously, it can also display the questionnaire content on the all-in-one machine display screen for residents to complete, obtaining follow-up questionnaire results. The follow-up examination results and / or follow-up questionnaire results constitute the follow-up examination record results.

[0137] In one embodiment of the present invention, the follow-up appointment module is connected to the follow-up inspection record module, and is used to send the follow-up appointment confirmation to the follow-up inspection record module. After receiving the appointment confirmation, the follow-up inspection record module generates a follow-up inspection checklist according to the follow-up inspection content formulated by the follow-up plan formulation module. During the follow-up, the follow-up inspection record module starts the corresponding testing equipment one by one according to the follow-up inspection checklist, performs the above-mentioned tests, and obtains the follow-up inspection results.

[0138] The follow-up evaluation module, connected to the follow-up examination record module, is used to obtain follow-up results based on the follow-up examination record results, evaluate the patient's condition based on the follow-up results, and formulate updated chronic disease treatment and management plans.

[0139] The psychological assessment module is connected to the chronic disease assessment module and is used to conduct psychological assessments for specific residents, such as patients with mental disorders or depression. During the follow-up phase, the psychological assessment module prompts for mental health guidance.

[0140] In one embodiment of the present invention, the psychological assessment module is connected to the diagnostic module in the chronic disease assessment module, and psychological assessments are conducted on patients diagnosed with mental illnesses such as mental disorders and depression by the diagnostic module. Specifically, the all-in-one machine has a built-in psychological assessment questionnaire database for general practitioners to select and use during follow-up visits.

[0141] In one embodiment of the present invention, the follow-up evaluation module is also connected to the psychological assessment module to obtain the follow-up results based on the follow-up examination record results and the follow-up psychological assessment results.

[0142] In one embodiment of the present invention, the follow-up results are compared with the diagnosis result / the previous follow-up result to obtain the changes in the condition. Based on the follow-up results and the changes in the condition, the patient's condition is evaluated, and an updated chronic disease treatment and management plan is formulated.

[0143] A customized health knowledge delivery module, connected to the follow-up evaluation module, is used to deliver customized health education information based on follow-up results and / or changes in the patient's condition. Delivery methods include, but are not limited to: SMS, telephone notifications, corresponding mobile applications (APPs), corresponding mobile mini-programs, and public accounts. By delivering health education content, patients are disseminated knowledge about chronic disease prevention and control, and are guided on proper diet and appropriate exercise.

[0144] In one embodiment of the present invention, the customized health knowledge push module first pushes customized health education information to the all-in-one machine display screen for review by general practitioners, and then pushes it to residents and patients after the review is approved.

[0145] This invention also provides a chronic disease management method based on a general practitioner workstation. This method is based on a general practitioner workstation and focuses on the entire process of community health services and community chronic disease management, providing community general practitioners and residents with intelligent and automated services throughout the entire process, including community resident record keeping, chronic disease screening, chronic disease assessment, and chronic disease follow-up.

[0146] Referring to Figure 7, the present invention provides a chronic disease management method based on a general practitioner workstation, comprising:

[0147] Resident registration: When residents visit a general practitioner's office for the first time, they enter their identity and health information. The general practitioner's office then matches the identity and health information to generate population tags.

[0148] Chronic disease screening: The general practitioner workstation identifies the target population based on identity and health information, provides a chronic disease screening plan for the identified target population type, and provides screening tips based on the chronic disease screening plan to assist residents in completing the chronic disease screening and obtaining the screening results.

[0149] Chronic disease assessment: The general practitioner workstation provides the corresponding chronic disease risk level or risk value based on the screening results, recommends hospitals for patients to choose from based on the risk level / risk value, and makes a diagnosis based on the screening results or the diagnosis results after referral.

[0150] Chronic disease follow-up: The general practitioner workstation develops a follow-up plan based on the diagnosis results, makes follow-up appointments, records follow-up examinations, evaluates the follow-up results, and develops updated chronic disease treatment and management plans.

[0151] According to an embodiment of the present invention, the input of identity information includes: identifying and inputting information from a resident ID card using an ID card reader built into a general practitioner workstation, or taking a picture of the ID card using a built-in camera, extracting information such as the name, ID number, and photo, and inputting it.

[0152] According to an embodiment of the present invention, the entry of identity information may further include: reading and scanning the medical insurance card and electronic medical insurance code through a medical insurance card reader built into the general practitioner workstation and / or a front-facing camera / rear-facing camera, so as to identify and enter the resident's identity information.

[0153] According to an embodiment of the present invention, health information entry includes completing a "scale-based questionnaire" and / or entering physical examination results / medical records, etc. The general practitioner workstation generates the "scale-based questionnaire," which includes at least one of the following information: smoking history, family history, alcohol consumption, characteristic indicators, etc. Characteristic indicators include: blood pressure, blood glucose, blood lipids, uric acid, body temperature, height, weight, hemoglobin, glycated hemoglobin, urinalysis, white blood cells, ultrasound, electrocardiogram, biochemistry, fetal heart rate, jaundice, etc. The general practitioner workstation can receive and identify physical examination reports, medical records, etc., extract health information from them, and enter it into the system. The scale-based questionnaire includes an inquiry into whether the patient is pregnant.

[0154] According to embodiments of the present invention, entering health information may further include: obtaining the resident's health information based on the entered resident identity information. For example, obtaining the resident's health information based on the resident identity information obtained from the medical insurance card / electronic medical insurance code and its corresponding medical insurance information.

[0155] According to embodiments of the present invention, updated population tags can be matched in real time based on updated identity information and updated health information.

[0156] According to embodiments of the present invention, the matched population tags include, for example: elderly people (age ≥ 60 years); adults (18 years ≤ age < 60 years); infants, toddlers and preschool children (0 years ≤ age ≤ 6 years); school-age children and adolescents (7 years ≤ age ≤ 17 years).

[0157] In one embodiment of the present invention, the resident's population label is mainly matched based on the gender and age in the identity information.

[0158] According to an embodiment of the present invention, the resident profile is a dynamic profile, updated in real time based on changes in resident identity information, health information, diagnosis status, etc. For example, in subsequent chronic disease follow-ups, if a resident's characteristic indicators change, the population tag will be automatically updated after the changed health information is entered.

[0159] According to embodiments of the present invention, the target population types include: people with hypertension; people with diabetes; people with hyperlipidemia; people with hyperuricemia; people with stroke; people with heart disease; and obese people. The target population type is also known as a chronic disease risk label.

[0160] According to embodiments of the present invention, the entered identity and health information are encrypted for privacy protection. The MD5 encryption algorithm and an asymmetric encryption algorithm are employed. MD5 (Message-Digest Algorithm 5) is a widely used hash function used to generate a 128-bit (16-byte) hash value, typically used for data integrity verification. An asymmetric encryption algorithm, also known as public-key encryption, is a cryptographic method that uses a pair of keys for encryption and decryption: a public key and a private key. These two keys are mathematically related, but the private key cannot be derived from the public key.

[0161] According to an embodiment of the present invention, when sending data containing personal health information via a network, password verification and recipient trustworthiness identification are performed, based on data security level requirements; when transmitting data via a USB interface, password verification and acquisition of basic information of the receiving device are performed.

[0162] According to an embodiment of the present invention, the general practitioner workstation provides a corresponding screening plan based on the identified target population type. The screening plan includes test items, questionnaires, etc. The test items include: blood pressure, blood glucose, blood lipids, uric acid, body temperature, height, weight, body mass index (BMI), hemoglobin, glycated hemoglobin, urinalysis, white blood cells, ultrasound, electrocardiogram, biochemistry, fetal heart rate, jaundice, etc.; the questionnaire includes a health questionnaire.

[0163] According to embodiments of the present invention, the screening program may include screening for disease types. For example, for the elderly, the screening program may include screening for: hypertension, diabetes, chronic obstructive pulmonary disease, stroke, obesity, thalassemia, colon disease, heart disease, physical condition of the elderly, vision and sensation, mental health, fitness, breast cancer, lung cancer, colorectal cancer, etc.

[0164] According to an embodiment of the present invention, when determining a screening plan, doctors and patients can select or add test items in the screening plan to obtain the final screening plan.

[0165] According to an embodiment of the present invention, after the screening plan is determined, the general practitioner workstation starts the corresponding testing equipment one by one, and provides prompts on the workstation display screen and the testing equipment respectively to assist residents in completing the tests one by one; according to the questionnaire in the screening plan, the questionnaire content is displayed on the workstation display screen for residents to complete the questionnaire.

[0166] According to an embodiment of the present invention, the general practitioner workstation compares the screening results with the indicators and standards in the chronic disease management guidelines to determine the risk level, risk value, and probability of chronic disease. Based on the assessed risk level, risk value, and probability, it recommends suitable hospitals for doctors / patients to choose from for referral. Alternatively, it can screen hospitals based on the patient's needs. After selecting a target hospital for referral, the general practitioner workstation sends the referral request and the patient's examination results to the selected hospital. The hospital provides appointment slots to complete the registration, and the patient can go there for examination and diagnosis.

[0167] According to embodiments of the present invention, an AI algorithm automatically calculates the probability of a target population suffering from a certain disease based on factors such as gender, age, and characteristic indicators. For example, the AI ​​algorithm can automatically calculate the probability of an elderly person suffering from stroke based on their gender, age, systolic blood pressure, total cholesterol, history of diabetes, and smoking history.

[0168] According to an embodiment of the present invention, when a diagnosis can be made based on the screening results, the general practitioner workstation confirms the diagnosis based on the screening results; when a diagnosis cannot be made based on the screening results, the general practitioner workstation confirms the diagnosis based on the diagnostic results returned by the referring hospital. After confirmation, the general practitioner workstation formulates a treatment and management plan for chronic diseases and updates the resident's health record based on the diagnosis results.

[0169] According to an embodiment of the present invention, the general practitioner workstation formulates a follow-up plan based on the diagnosis results, including a follow-up schedule and follow-up examination content. Reminder SMS / patient mobile app notifications are sent to patients on the due date and before the due date, and reminders are also sent to the general practitioner. The general practitioner can have a comprehensive understanding of the follow-up plans for all patients based on the follow-up schedule. Follow-up examination content includes follow-up examination items, follow-up questionnaires, etc.

[0170] According to an embodiment of the present invention, the general practitioner workstation makes an appointment confirmation with the patient before each follow-up visit based on the follow-up plan. After confirmation, the patient can go to the hospital or community health service center for follow-up visit. For patients with mobility difficulties, the general practitioner can be scheduled to bring the workstation to their home for follow-up visit when making the follow-up appointment.

[0171] According to an embodiment of the present invention, during follow-up, general practitioners use a workstation to conduct examinations and record data to monitor changes in the patient's condition. Follow-up examination items include: blood pressure, blood glucose, blood lipids, uric acid, body temperature, height, weight, body mass index (BMI), hemoglobin, glycated hemoglobin, urinalysis, white blood cells, ultrasound, electrocardiogram, biochemistry, fetal heart rate, and jaundice. Based on the follow-up examination items in the follow-up plan, the general practitioner's workstation activates the corresponding testing equipment one by one, providing prompts on the display screen and the testing equipment to assist residents in completing each test and obtaining follow-up examination results. Simultaneously, questionnaire content can be displayed on the screen for residents to complete, resulting in follow-up questionnaire results. The follow-up examination results and / or follow-up questionnaire results constitute the follow-up examination record results.

[0172] According to embodiments of the present invention, the method further includes conducting psychological assessments on specific residents, such as patients with mental disorders or depression, obtaining psychological assessment results, and providing mental health guidance based on the psychological assessment results during the follow-up phase.

[0173] According to an embodiment of the present invention, after the follow-up is completed, the general practitioner workstation obtains the follow-up results based on the follow-up examination records and follow-up psychological assessment results. Based on these follow-up results, the workstation evaluates the patient's condition and formulates an updated chronic disease treatment and management plan. The general practitioner workstation can also compare the follow-up results with the confirmed diagnosis / previous follow-up results to obtain information on changes in the patient's condition. Based on the follow-up results and changes in the patient's condition, the workstation evaluates the patient's condition and formulates an updated chronic disease treatment and management plan.

[0174] Based on follow-up results and / or changes in the patient's condition, the general practitioner workstation can push customized health education information. Push methods include, but are not limited to, SMS, telephone notifications, corresponding mobile applications (APPs), corresponding mini-programs, and public accounts. Customized health education information includes knowledge on chronic disease prevention and control, recommendations for a balanced diet, and suggestions for appropriate exercise. Before pushing the information, the general practitioner workstation can prompt the general practitioner to review the content.

[0175] This invention also provides a general practitioner workstation, including a memory and a processor. The memory can be used to store software programs and modules, and the processor executes various functional applications and data processing of the general practitioner workstation by running the software programs and modules stored in the memory. The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store the operating system, at least one application program required for a given function, etc. Furthermore, the memory may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0176] According to an embodiment of the present invention, the processor loads the executable files corresponding to the processes of one or more applications into the memory according to instructions, and the processor runs the applications stored in the memory, thereby realizing the various functions of the chronic disease management method based on the general practitioner workstation described above.

[0177] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0178] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the aforementioned method.

[0179] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the aforementioned method.

[0180] Figure 8 is a hardware circuit diagram of the general practitioner workstation of the present invention. As shown in Figure 8, the general practitioner workstation of the present invention includes: a central processing unit (CPU), a memory, a (touch) display screen, an RFID card reader module, a front camera, a rear camera, a power management module, an (internal) battery, a power adapter, an audio codec chip, a speaker, a microphone, a Wi-Fi / Bluetooth module, a 4G / 5G module, USB / HUB / Ethernet related interfaces, an HDMI interface, an SPI to serial port, an ECG module, a display screen, a blood oxygen module, a blood pressure module, a blood glucose module, etc.

[0181] Among them, the blood oxygen module realizes blood oxygen detection through the matching blood oxygen probe, the blood pressure module realizes blood pressure detection through the matching blood pressure cuff, the blood glucose module realizes blood glucose detection through the matching blood glucose port, and the ECG module realizes electrocardiogram detection through the matching ECG leads.

[0182] The general practitioner workstation of the present invention, through the above-mentioned hardware circuit and the external interface therein, connects to corresponding testing equipment to realize the aforementioned functions of the present invention, including resident record keeping, chronic disease screening, chronic disease assessment, and chronic disease follow-up.

[0183] The foregoing has provided a detailed description of a general practitioner workstation and a chronic disease management method based on the general practitioner workstation provided in the embodiments of this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A general practitioner workstation, characterized in that, include: The resident record-keeping module enters resident identity information and health information during the resident's first medical visit, and matches population tags based on the identity information and health information. The chronic disease screening module identifies the target population based on the identity and health information, provides a chronic disease screening plan for the identified target population type, and provides screening prompts based on the chronic disease screening plan to assist residents in completing the chronic disease screening and obtaining the screening results. The chronic disease assessment module provides a corresponding chronic disease risk level or risk value based on the screening results, recommends hospitals for patients to choose from based on the risk level / risk value, and makes a diagnosis based on the screening results or the diagnosis results after referral. The chronic disease follow-up module develops follow-up plans based on the diagnosis results, schedules follow-up appointments, records follow-up examinations, evaluates follow-up results, and develops updated chronic disease treatment and management plans.

2. A general practitioner workstation as described in claim 1, characterized in that, The resident record-keeping module includes: The identity information recognition and entry module is used to recognize and enter residents' identity information; The health information entry and update module is used to enter and / or update residents' health information.

3. A general practitioner workstation as described in claim 1, characterized in that, The resident record-keeping module includes: The population tag determination module has built-in intelligent assisted diagnosis and accurate algorithm model, which matches the resident's population tag based on identity information and health information.

4. A general practitioner workstation as described in claim 1, characterized in that, The resident record-keeping module includes: The privacy protection module is used to encrypt the identity information and the health information.

5. A general practitioner workstation as described in claim 2, characterized in that, The identity information recognition and input module includes: The ID card reader / RFID information recognition module connects to the built-in ID card reader and is used to recognize the ID card information read by the reader. and / or The ID card image information recognition module is connected to a camera and is used to perform image recognition on ID cards captured by the camera, extracting information such as name, ID number, and photo.

6. A general practitioner workstation as described in claim 2, characterized in that, The identity information recognition and input module includes: The contact information input module is connected to a touch screen or keyboard and is used to input residents' contact information via the touch screen or keyboard. The face image input module is connected to the camera and is used to input and recognize face images captured by the camera.

7. A general practitioner workstation as described in claim 2, characterized in that, The identity information recognition and input module includes a medical insurance card / electronic medical insurance code recognition module. This medical insurance card / electronic medical insurance code recognition module: Connects to the built-in medical insurance card reader to identify medical insurance card information; and / or It connects to a camera to identify the identity information of the electronic medical insurance code.

8. A general practitioner workstation as described in claim 1, characterized in that, The chronic disease screening module includes: The target audience identification module is used to identify the target audience based on identity and health information. The screening program determination module is used to provide chronic disease screening programs for the identified target population types. The screening module is used to provide screening prompts based on the chronic disease screening plan, assist residents in completing the chronic disease screening, and obtain the screening results.

9. A general practitioner workstation as described in claim 1, characterized in that, The chronic disease assessment module includes: The chronic disease risk assessment module compares the screening results of the chronic disease screening module with the indicators and standards in the chronic disease management guidelines to determine the risk level, risk value, or probability of developing chronic diseases. The referral module recommends hospitals based on the assessed risk level / value or probability of disease, and sends the referral request and patient examination results to the selected hospital. The diagnostic module makes a diagnosis based on screening results or the diagnostic results after referral, and formulates treatment and management plans for chronic diseases.

10. A general practitioner workstation as described in claim 1, characterized in that, The chronic disease follow-up module includes: The follow-up plan development module is used to develop a follow-up plan based on the diagnosis results, including the follow-up plan schedule and follow-up examination content; The follow-up appointment module makes appointments with patients before each follow-up visit according to the follow-up schedule, confirms the follow-up location, and sends the confirmation results to the follow-up examination record module. The follow-up inspection record module activates the corresponding testing equipment according to the follow-up inspection content, and provides prompts on the workstation display screen and the testing equipment to assist in completing the test and obtaining the follow-up inspection results. The follow-up evaluation module obtains follow-up results based on follow-up examinations, evaluates the patient's condition based on the displayed follow-up results, and formulates updated chronic disease treatment and management plans.

11. A general practitioner workstation as described in claim 10, characterized in that, The chronic disease follow-up module also includes: The psychological assessment module is used to conduct psychological assessments on specific residents, such as patients with mental disorders or depression, and to obtain follow-up psychological assessment results. The follow-up inspection content also includes a follow-up questionnaire. The follow-up inspection record module displays the follow-up questionnaire on the workstation screen for residents to complete the questionnaire and obtain the follow-up questionnaire results. The follow-up evaluation module obtains the follow-up examination record results based on the follow-up examination results and the follow-up questionnaire results, and obtains the follow-up results based on the follow-up examination record results and the follow-up psychological assessment results.

12. A general practitioner workstation as described in claim 1, characterized in that, The general practitioner workstation also includes monitoring equipment for electrocardiogram, non-invasive blood pressure, pulse oxygen saturation, pulse rate, heart rate, respiratory rate, body temperature, etc. The general practitioner workstation can be connected to the following testing equipment: body temperature, height, weight, B-ultrasound, fetal heart rate monitor, bone densitometer, dynamic electrocardiogram, pulmonary function test, arteriosclerosis test, urinalysis, blood glucose, uric acid, blood ketones, blood lipids, hemoglobin, glycated hemoglobin, total cholesterol, white blood cell counter, complete blood count, fluorescence immunoassay analyzer, biochemical analyzer, etc. The general practitioner workstation provides multiple external interfaces, allowing multiple external devices to connect and be tested simultaneously. These external interfaces have intelligent connection recognition capabilities, enabling each external device to connect and be tested through any one of them. All interfaces can connect to workstations to perform functions such as detection and data transmission.

13. A general practitioner workstation as described in claim 12, characterized in that, The general practitioner workstation uses a USB interface to identify the USB PID / VID code of external devices, enabling intelligent identification and connection.

14. A chronic disease management method based on a general practitioner workstation, comprising: When residents and patients visit a general practitioner's workstation for the first time, they enter their identity and health information. The general practitioner's workstation then matches the population tags based on the identity and health information. The general practitioner workstation identifies the target population based on identity and health information, provides a chronic disease screening plan for the identified target population type, and provides screening prompts based on the chronic disease screening plan to assist residents and patients in completing the chronic disease screening and obtaining the screening results; The general practitioner workstation provides the corresponding chronic disease risk level or risk value based on the screening results, recommends hospitals for patients to choose from based on the risk level / risk value, and makes a diagnosis based on the screening results or the diagnosis results after the referral. The general practitioner workstation develops follow-up plans based on the diagnosis results, schedules follow-up appointments, records follow-up examinations, evaluates follow-up results, and develops updated chronic disease treatment and management plans.

15. A chronic disease management method based on a general practitioner workstation as described in claim 14, characterized in that, The general practitioner workstation is the general practitioner workstation as described in any one of claims 1-13.

16. A general practitioner workstation, characterized in that, The general practitioner workstation includes a memory and a processor; The memory stores computer program code; The processor executes the computer program code to implement the chronic disease management method based on a general practitioner workstation as described in any one of claims 14-15.

17. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the method according to any one of claims 14-15.

18. A computer program product, comprising a computer program, characterized in that, When executed by a processor, the computer program performs the steps of the method described in any one of claims 14-15.

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