Intelligent medical, nursing and health care combined pension service system

Abstract

The application discloses a kind of wisdom medical care and health care combination old-age service system, belong to the field of old-age system.The system includes: medical care and health care combination mechanism resource scheduling hub, data interaction and service platform, online service support channel, offline service execution network and multiple collaborative service network.System takes medical care and health care combination mechanism with double certificate as core, integrates multiple data and resources through information technology platform, builds online and offline integrated service closed loop, and cooperates medical institutions, community, family doctors and other multiple subjects, realizes the accurate, efficient, sustainable extension of professional medical care service to home scene.The application solves the existing medical care and health care combination service home extension difficulty, low coordination efficiency, high cost and other problems, effectively supports the "home-based" old-age service system.

Description

Technical Field

[0001] This invention relates to the field of elderly care systems, and in particular to a smart elderly care service system that integrates medical care, nursing, and rehabilitation. Background Technology

[0002] Currently, the supply of medical, elderly care, and rehabilitation services is characterized by fragmentation: there is a lack of effective collaboration between medical institutions, elderly care institutions, and community and home-based services, data is not interconnected, and service processes are broken. Elderly people, especially key groups such as the disabled, semi-disabled, those with chronic diseases, and those living alone at an advanced age, often have to travel between different systems on their own, making it difficult to obtain continuous and integrated health management and life care.

[0003] Existing technologies offer solutions for specific scenarios, such as standalone smart home security systems, internal management systems for institutions, or regional elderly care information platforms. However, these solutions generally suffer from the following shortcomings: First, they are closed systems, unable to achieve cross-level (province, city, county, township, community), cross-departmental (civil affairs, health, medical insurance), and cross-institutional (hospitals, nursing homes, community centers, families) data sharing and business collaboration. Second, the service chain is fragmented, with prevention, diagnosis, rehabilitation, long-term care, and palliative care disconnected from each other, forming "information silos" and "service gaps." Third, the technical architecture is rigid, making it difficult to be compatible with multi-source heterogeneous IoT devices, medical information systems, and elderly care service platforms, resulting in high integration costs and poor scalability. Fourth, they lack effective proactive early warning and intelligent intervention mechanisms, with services mostly being reactive and failing to achieve the transformation from "treating existing illnesses" to "preventing illnesses."

[0004] Therefore, existing technologies have not yet been able to build a smart integrated medical, elderly care, and rehabilitation service platform that is top-down and horizontally comprehensive, and cannot meet the needs of elderly care services that cover the entire life cycle, all scenarios, and all stakeholders. A systematic and innovative solution is urgently needed to solve the above-mentioned technical dilemmas. Summary of the Invention

[0005] The present invention aims to provide a smart elderly care service system that integrates medical care and rehabilitation, which solves the problems of fragmented medical care and rehabilitation services, isolated systems, difficulties in coordination, and passive response in the existing technology.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a smart elderly care service system integrating medical care and rehabilitation, comprising:

[0007] Smart medical and elderly care service center platform;

[0008] At least one user terminal is provided for service objects to initiate service requests and receive service information;

[0009] At least one organizational management terminal is provided for cooperating service organizations to manage service resources and receive service instructions;

[0010] The user terminal and the institution management terminal are respectively connected to the smart medical and elderly care service center platform.

[0011] Furthermore, the smart medical and elderly care service center platform includes:

[0012] The data platform is used to aggregate, govern, and integrate heterogeneous data from multiple systems such as medical care, elderly care, and rehabilitation to build a unified thematic database;

[0013] The IoT middleware platform is used to access and manage IoT sensing devices distributed in different scenarios, and to standardize the processing of device data.

[0014] Furthermore, the smart medical and elderly care service center platform also includes a collaborative scheduling engine. The collaborative scheduling engine is used to generate cross-institutional and cross-level service scheduling schemes based on the type, urgency, geographical location, and service capabilities of the service request, and distribute task instructions to the corresponding institution management terminals.

[0015] Furthermore, the data platform includes:

[0016] The personal health record module is used to create a dynamic electronic health record for each service recipient throughout their entire life cycle.

[0017] The intelligent early warning and intervention module is used to generate health risk warnings based on the analysis of the electronic health record data, real-time monitoring data and historical data, and to trigger corresponding health care intervention or medical referral service processes.

[0018] Furthermore, the IoT platform includes:

[0019] The device management unit is used for unified registration, authentication, and status monitoring of various IoT sensing devices.

[0020] The rules engine unit is used to configure and execute early warning rules and automated scenarios based on multi-device data linkage.

[0021] Furthermore, the smart medical and elderly care service center platform also includes a service platform, which encapsulates and manages at least two types of service capability interfaces: medical consultation and referral services, rehabilitation training guidance services, long-term living care services, health management services, and emergency rescue services.

[0022] Furthermore, the data platform exchanges data with the regional public health information platform, medical security information platform, and elderly care service management platform through standardized data interfaces, thereby achieving cross-departmental data sharing and business collaboration.

[0023] Furthermore, the intelligent early warning and intervention module is specifically used for:

[0024] Identify high-risk service recipients who are disabled, partially disabled, suffer from chronic diseases, or are elderly and living alone;

[0025] Based on a preset risk assessment model, the monitoring data of the high-risk service recipients are continuously analyzed.

[0026] When the analysis results exceed the preset threshold, an early warning event is automatically generated and the preset monitoring personnel and related service agency terminals are notified simultaneously.

[0027] Furthermore, the collaborative scheduling engine is also used to track the execution status of service tasks and collect service evaluation feedback, forming a closed-loop management data chain from service initiation, scheduling, execution to evaluation.

[0028] Furthermore, the IoT sensing devices connected to the IoT platform include vital sign monitoring devices, environmental sensors, behavior sensing devices, and emergency call devices for the home environment, and the rule engine unit is configured with "contactless" abnormal warning rules based on device linkage triggering.

[0029] Compared with existing technologies, the beneficial effects of this solution are:

[0030] 1. This solution constructs a unified system centered on a smart healthcare and elderly care service center platform, and establishes dedicated data and IoT platforms. This invention achieves the organic integration and standardized management of multi-source heterogeneous data and various IoT devices scattered across medical institutions, elderly care facilities, communities, and homes. This design fundamentally breaks down long-standing "information silos," weaving previously fragmented service capabilities into a collaborative network, laying a solid data and connectivity foundation for cross-level, cross-departmental, and cross-institutional business collaboration.

[0031] 2. This solution has successfully driven a historic shift in elderly care service models from passive and responsive to proactive and predictive approaches. The system's embedded intelligent early warning and intervention module, along with the IoT platform's rule engine unit, can automatically identify high-risk individuals and abnormal conditions based on dynamic electronic health records and real-time multi-dimensional sensor data. It can also automatically trigger early warnings and pre-set intervention procedures before or at the initial stage of a risk event. This signifies a shift in the core service focus from "handling existing needs" to "managing potential risks," significantly improving safety and health management efficiency, and embodying the advanced concept of "prevention is better than cure."

[0032] 3. This solution introduces a collaborative scheduling engine, enabling the system to intelligently generate optimal cross-agency scheduling schemes based on the complex attributes of service requests (such as type, urgency, and location) and the real-time status of resources across the entire network, and to achieve closed-loop tracking of the entire task execution process. This not only shortens service response time and improves the accuracy of supply and demand matching, but also provides a reliable basis for continuous improvement of service quality and scientific planning of resources through a data-driven, end-to-end monitoring and feedback mechanism. Attached Figure Description

[0033] Figure 1 This invention provides a system architecture diagram of a smart elderly care service system that integrates medical care, health care, and rehabilitation. Detailed Implementation

[0034] The present invention will be further described in detail below through specific embodiments:

[0035] Example 1: Proactive early warning and emergency response to fall risk among elderly people living at home

[0036] like Figure 1 As shown in the figure, this embodiment describes the entire process of the system proactively warning and handling the fall risk of an elderly person (Grandma Wang) living alone with hypertension in a home setting.

[0037] 1. System Configuration and Initial State:

[0038] In Grandma Wang's home, a smart millimeter-wave radar (behavioral sensing device), a smart pillbox (to monitor medication adherence), and a smart bracelet (to monitor heart rate, blood pressure trends, and body movement) managed by the system's IoT platform were installed.

[0039] In the data platform, a personal electronic health record has been created for Grandma Wang, which marks her as a high-risk group of "elderly living alone and having high blood pressure". The rule engine unit of the IoT platform has a preset rule: "If the wristband detects a drastic change in body movement data (suspected fall) and the radar detects that she is stationary on the ground for more than 60 seconds, a high-risk warning will be triggered."

[0040] 2. Event Triggering:

[0041] One afternoon, Grandma Wang suddenly felt dizzy and fell while walking around the living room. Her wristband detected the sudden change in acceleration and abnormal posture, while the millimeter-wave radar simultaneously detected that she had been lying on the ground for an extended period. Data from both devices was standardized through an IoT platform and then reported to the main platform.

[0042] 3. Early warning and automatic response:

[0043] Rule engine trigger: The rule engine unit of the IoT platform determines the event as "suspected fall and no ability to get up on its own" according to the preset rules, and immediately generates a high-risk warning event.

[0044] The intelligent early warning and intervention module is activated: After receiving the early warning, the module first retrieves the information of Grandma Wang's emergency contact (her daughter) and the contracted family doctor team based on her electronic health record.

[0045] Cooperative scheduling engine intervention: The system automatically generates a composite service scheduling scheme through the cooperative scheduling engine.

[0046] a. Level 1 Task (Emergency Contact): Simultaneously notify her daughter and community grid worker via SMS, APP push, and automated voice call.

[0047] b. Secondary Task (Preliminary Assessment): Distribute a "Remote Video Viewing" work order to the institution's management terminal for contracted family doctors. The family doctor uses the platform's video function to remotely observe Grandma Wang's fall and makes a preliminary judgment that on-site intervention is necessary.

[0048] c. Level 3 Task (On-site Rescue): Based on Grandma Wang's real-time location, the dispatch engine sends an "Emergency Door-to-Door Assistance" work order to the nearest community medical and elderly care service center with door-to-door emergency rescue capabilities, and simultaneously transmits the family doctor's preliminary assessment to the door-to-door personnel.

[0049] 4. Closed-loop execution and feedback:

[0050] Nursing staff at the community-based integrated medical and elderly care service center receive work orders through the institution's management terminal and arrive at the scene within 10 minutes with a first-aid kit.

[0051] After initial examination and treatment, the nursing staff reported through the terminal that "the elderly person is conscious, with a suspected sprain in the left ankle, which has been temporarily immobilized, and it is recommended to send the patient to the hospital for examination."

[0052] The collaborative scheduling engine then triggers the "assist in sending to the hospital" process, contacting the green channel of the contracted 120 or the cooperating hospital.

[0053] The entire process, from the fall to the arrival of rescue personnel, is completed within 10-15 minutes. The execution status, time points, and service feedback of all service links (early warning, notification, remote assessment, home visit, referral) are recorded in the system, forming a complete closed-loop data chain.

[0054] Example 2: Continuous Health Management and Intervention for Patients with Chronic Diseases (Diabetes)

[0055] This embodiment describes the process by which the system provides continuous, proactive health management for a community-managed diabetic patient (Uncle Li).

[0056] 1. System configuration and file creation:

[0057] Mr. Li completed his annual physical examination at the community health station using a self-service device (connected to the system), and the data was automatically collected into his personal electronic health record.

[0058] The records showed that his blood sugar control was poor, and the system's intelligent early warning and intervention module marked him as a "key focus for diabetes management".

[0059] The family equipped him with a system-certified smart blood glucose meter, which can automatically upload measurement data.

[0060] 2. Risk Identification and Early Warning:

[0061] The data platform analyzed Mr. Li's uploaded blood glucose data for a week and found that his post-meal blood glucose level was consistently higher than the preset threshold, and the recent medication records in his electronic health record showed that his hypoglycemic drugs were about to run out.

[0062] The intelligent early warning and intervention module generates a moderate early warning for "unstable blood glucose control & medication adherence risk" based on a risk assessment model.

[0063] 3. Initiation of proactive intervention process:

[0064] Solution generation: The collaborative scheduling engine automatically generates a "Community Diabetes Enhanced Management Package" intervention plan based on the warning type and Mr. Li's preference (selecting community services).

[0065] Task assignment:

[0066] a. Distribute "Follow-up Assessment and Prescription Adjustment" work orders to the family doctor teams at community health service centers.

[0067] b. Distribute a "Personalized Meal Planning Recommendation" work order to the nutritionist at the community senior canteen (the data platform provides Mr. Li's health data).

[0068] c. Distribute "Diabetes Exercise Guidance Course Appointment" work orders to rehabilitation therapists at community day care centers.

[0069] 4. Multi-service collaboration and tracking:

[0070] After a video consultation and review, the family doctor adjusts the prescription online. The new prescription is then transferred to the partner pharmacy through the platform, and family members can pick it up on behalf of the patient or have it delivered to their door.

[0071] The low-GI recipes developed by nutritionists are synchronized to the senior dining hall system and family members' APP. The dining hall can provide customized meals, and family members can also refer to them for cooking.

[0072] The rehabilitation therapist invited Uncle Li to participate in regular online / offline exercise guidance courses.

[0073] The collaborative scheduling engine tracks the completion status of each work order and automatically generates a "follow-up" work order for the family doctor two weeks later to check the improvement in blood sugar control. All interventions and changes in effects are continuously updated to the electronic health record, forming a closed-loop management system.

[0074] Example 3: Seamless referral between institutional elderly care and medical services (medical-elderly care collaboration)

[0075] This embodiment describes how the system enables efficient and continuous service referrals between the institution, hospital, and home when a disabled elderly person (Grandpa Zhang) residing in a nursing home suffers a sudden illness.

[0076] 1. The incident occurred:

[0077] A caregiver at a nursing home used the electronic ward round system on the facility's management terminal to record that Mr. Zhang was experiencing symptoms of shortness of breath and lethargy. The caregiver then initiated a "medical assistance request" with a single click on the terminal.

[0078] 2. Initial collaboration within the organization:

[0079] Request direct access to the Smart Medical and Elderly Care Service Center platform.

[0080] Based on the request content (symptom description, elderly patient's past medical history retrieved from electronic health records), the collaborative scheduling engine prioritizes activating the institution's embedded "remote consultation" channel.

[0081] The system immediately connected via video with a doctor in the geriatrics department of a secondary hospital that had a contract with the institution. After reviewing the case remotely, the doctor suspected a possible lung infection and recommended that the patient be taken to the hospital for further examination as soon as possible.

[0082] 3. Efficient inter-institutional referral:

[0083] The collaborative scheduling engine initiates the "two-way referral" process:

[0084] a. Upward Referral: Based on Grandpa Zhang's medical insurance type, the urgency of his condition, and the availability of beds in the cooperating hospital, the system automatically matches and schedules an appointment with the nearest tertiary hospital's geriatric department or the green channel of the cooperating medical consortium's superior hospital, generating an electronic referral form that includes the elderly man's basic information, preliminary diagnosis, and collected vital sign data.

[0085] b. Resource scheduling: Simultaneously dispatch work orders to institutions to "arrange vehicles and accompanying personnel to send patients to hospitals", and send hospital notifications and hospital information to family members via the APP.

[0086] c. Information synchronization: The electronic referral form is sent to the target hospital's HIS system in advance through a standardized interface, allowing the hospital to prepare accordingly.

[0087] 4. Continuous care during hospitalization and after discharge:

[0088] During Grandpa Zhang's hospitalization, his attending physician may, with authorization, access his complete electronic health record (including institutional nursing records) to develop a more comprehensive treatment plan.

[0089] Once Grandpa Zhang's condition stabilized and he entered the recovery phase, the hospital doctors initiated an application to "transfer back to a nursing home" in the HIS system.

[0090] After receiving the application, the collaborative scheduling engine automatically synchronizes the discharge summary, rehabilitation plan and other information to the original nursing home's system, and generates a "receive and continue care" work order to guide the nursing department of the institution to prepare rehabilitation equipment and adjust the nursing plan in advance.

[0091] At the same time, it can be linked to the "Rehabilitation Training Guidance Service" of the service platform to provide remote rehabilitation guidance support for institutions.

[0092] The above are merely embodiments of the present invention, and common knowledge such as specific structures and / or characteristics in the solutions are not described in detail here. It should be noted that those skilled in the art can make various modifications and improvements without departing from the structure of the present invention, and these should also be considered within the scope of protection of the present invention. These modifications and improvements will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A smart elderly care service system integrating medical care, nursing, and rehabilitation, characterized in that: include: Smart medical and elderly care service center platform; At least one user terminal is provided for service objects to initiate service requests and receive service information; At least one organizational management terminal is provided for cooperating service organizations to manage service resources and receive service instructions; The user terminal and the institution management terminal are respectively connected to the smart medical and elderly care service center platform.

2. The system according to claim 1, characterized in that, The smart medical and elderly care service center platform includes: The data platform is used to aggregate, govern, and integrate heterogeneous data from multiple systems such as medical care, elderly care, and rehabilitation to build a unified thematic database; The IoT middleware platform is used to access and manage IoT sensing devices distributed in different scenarios, and to standardize the processing of device data.

3. The system according to claim 2, characterized in that, The smart medical and elderly care service center platform also includes a collaborative scheduling engine, which is used to generate cross-institutional and cross-level service scheduling schemes based on the type, urgency, geographical location, and service capabilities of the service request, and distribute task instructions to the corresponding institution management terminals.

4. The system according to claim 2, characterized in that, The data platform includes: The personal health record module is used to create a dynamic electronic health record for each service recipient throughout their entire life cycle. The intelligent early warning and intervention module is used to generate health risk warnings based on the analysis of the electronic health record data, real-time monitoring data and historical data, and to trigger corresponding health care intervention or medical referral service processes.

5. The system according to claim 2, characterized in that, The IoT middleware includes: The device management unit is used for unified registration, authentication, and status monitoring of various IoT sensing devices. The rules engine unit is used to configure and execute early warning rules and automated scenarios based on multi-device data linkage.

6. The system according to any one of claims 1-5, characterized in that, The smart medical and elderly care service center platform also includes a service platform, which encapsulates and manages at least two types of service capability interfaces: medical consultation and referral services, rehabilitation training guidance services, long-term living care services, health management services, and emergency rescue services.

7. The system according to claim 2, characterized in that, The data platform exchanges data with the regional public health information platform, medical security information platform and elderly care service management platform through standardized data interfaces, so as to realize cross-departmental data sharing and business collaboration.

8. The system according to claim 4, characterized in that, The intelligent early warning and intervention module is specifically used for: Identify high-risk service recipients who are disabled, partially disabled, suffer from chronic diseases, or are elderly and living alone; Based on a preset risk assessment model, the monitoring data of the high-risk service recipients are continuously analyzed. When the analysis results exceed the preset threshold, an early warning event is automatically generated and the preset monitoring personnel and related service agency terminals are notified simultaneously.

9. The system according to claim 3, characterized in that, The collaborative scheduling engine is also used to track the execution status of service tasks and collect service evaluation feedback, forming a closed-loop management data chain from service initiation, scheduling, execution to evaluation.

10. The system according to claim 5, characterized in that, The IoT sensing devices connected to the IoT platform include vital sign monitoring devices, environmental sensors, behavior sensing devices, and emergency call devices for home environments. The rule engine unit is configured with "contactless" anomaly warning rules based on device linkage triggering.

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