Medical health assessment system and method for old people

Abstract

The invention discloses a medical health assessment system and method for old people in the field of social group management and assessment, and the system comprises a data collection module, a data analysis module, a health assessment module, a user interaction module and a control module. The data analysis module is triggered to carry out data processing and analysis, the control module receives an analysis result, and the user interaction module confirms the analysis result with the old people; if the analysis result is inconsistent, the control module guides the user to collect data again; if it is confirmed that the analysis result is consistent with the monitoring data, the health assessment module comprehensively assesses the medical health condition of the old people based on the data and generates a health assessment report. According to the invention, automatic, real-time and continuous evaluation of the health condition of the old people is realized, the accuracy and reliability of the evaluation result are improved, the evaluation process is simplified, and the burden of medical personnel and the old people is reduced.

Description

Technical Field

[0001] The present invention belongs to the field of social group management and evaluation, and specifically is a system and method for evaluating the medical health of the elderly. Background Art

[0002] As the global population continues to age, the health management and service needs of the elderly are becoming increasingly prominent. In order to more scientifically and normatively assess the health status of the elderly and provide accurate service basis for elderly care service institutions, in December 2022, the State Administration for Market Regulation and the National Standardization Administration jointly issued the "Elderly Ability Assessment Specification" (GB / T42195-2022). The implementation of this standard marks that my country's elderly ability assessment work has entered a new stage of standardization and normalization.

[0003] The "Elderly Ability Assessment Standards" specifies in detail the various indicators for the assessment of the health level of the elderly, clarifies the calculation method of the assessment score, and provides a framework for organizing and implementing research results, ensuring the authority and professionalism of the assessment process. This standard not only covers multiple dimensions such as the physical health, mental health, and daily living ability of the elderly, but also emphasizes the objectivity and comparability of the assessment results, providing a scientific and systematic assessment tool for elderly care service institutions.

[0004] However, despite this authoritative standard, there are still many challenges in practical application. For example, traditional assessment methods rely on the subjective judgment and experience of medical staff, and the assessment results may be affected by human factors; the assessment process is cumbersome and complicated, time-consuming and costly, making it difficult to achieve large-scale and efficient assessments; the assessment results are often one-off, lacking a continuous monitoring and feedback mechanism, making it difficult to detect health changes in the elderly in a timely manner and take intervention measures.

[0005] In view of the above problems, the present invention proposes a medical health assessment system and method for the elderly. Summary of the invention

[0006] The present invention proposes a medical health assessment system and method for the elderly, which realizes automated, real-time and continuous assessment of the health status of the elderly through functions such as automated data collection, real-time health assessment and continuous monitoring, improves the accuracy and reliability of the assessment results, simplifies the assessment process, and reduces the burden on medical staff and the elderly.

[0007] In order to achieve the above-mentioned purpose, the technical solution of the present invention is as follows: A medical health assessment system for the elderly, comprising:

[0008] Data collection module, used to collect various data related to the health status of the elderly;

[0009] The data analysis module is used to receive the data transmitted by the data acquisition module and process and analyze the collected data based on the preset standard data;

[0010] The health assessment module is used to assess the medical health of the elderly based on the analysis results of the data analysis module;

[0011] User interaction module, responsible for the interaction between the system and the user, including displaying analysis results, health assessment reports, and receiving user feedback;

[0012] The control module is used to coordinate the operation of various modules. The control logic of the control module is:

[0013] When the data collected by the data acquisition module changes or reaches a preset time interval, the data analysis module is triggered to process and analyze the data;

[0014] When the data analysis is completed, the control module receives the analysis results, and at the same time the control module triggers the user interaction module, which confirms the analysis results with the elderly;

[0015] If the elderly person confirms that the analysis results are consistent with their feelings or actual behaviors, the control module will proceed to the next step; if the analysis results are inconsistent, the control module will guide the user to re-collect data;

[0016] When it is confirmed that the analysis results are consistent with the monitoring data, the data will be recorded, and the health assessment module will conduct a comprehensive assessment of the medical health status of the elderly based on the preset health standards and assessment model and all recorded data at a scheduled time, and generate a health assessment report.

[0017] The following beneficial effects are achieved by adopting the above scheme:

[0018] 1. Improve the accuracy and reliability of evaluation results

[0019] Data driven: Through the automated data collection module, the system of the present invention can collect data on the elderly's physiological indicators, living habits, psychological state and other aspects in real time and accurately, avoiding the deviation caused by traditional evaluations that rely on subjective judgment or recollection.

[0020] Standardized processing: The data analysis module processes and analyzes based on preset standard data, ensuring the standardization and objectivity of the evaluation process. This standardized processing method not only improves the accuracy of the evaluation results, but also makes the evaluation results at different times and locations comparable.

[0021] Reduce human interference: The entire assessment process reduces interference from human factors, making the assessment results more scientific and fair, and helping to provide more personalized health management plans for the elderly.

[0022] 2. Simplify the assessment process and reduce the burden on medical staff and the elderly

[0023] Automated data collection: Traditional assessments often require testing item by item, which is not only time-consuming and labor-intensive, but also increases the workload of medical staff and may cause unnecessary fatigue to the elderly. The automated characteristics of the data collection module of the system of the present invention reduce the tedious work of manual data entry by medical staff and improve work efficiency.

[0024] Real-time analysis: The data analysis module can process data instantly and generate preliminary analysis results, allowing medical staff to quickly understand the health status of the elderly without having to wait for a long time for test results.

[0025] User-friendly: The design of the user interaction module fully considers the usage habits and needs of the elderly, allowing them to easily participate in the assessment process, improving the convenience and comfort of the assessment.

[0026] 3. Realize continuous monitoring and timely discover subtle changes in health

[0027] Continuous monitoring: Existing assessment systems are often only conducted at specific time points, making it difficult to capture subtle changes in the health status of the elderly. The system of the present invention achieves continuous monitoring of the health status of the elderly through continuous data collection and real-time analysis. This continuous monitoring method helps to detect subtle changes in health data and provides the possibility for early intervention.

[0028] Timely response: Once abnormal health data is found, the system can immediately notify relevant personnel and take corresponding measures to effectively prevent or control the development of diseases. This timely response mechanism helps reduce the risk of disease among the elderly and improve their quality of life.

[0029] Personalized intervention: Based on continuous monitoring data, the system can provide more personalized health management suggestions for the elderly, such as adjusting their diet, increasing exercise, etc., to help them improve their health.

[0030] In summary, the medical health assessment system for the elderly of the present invention significantly improves the accuracy and reliability of the assessment results through functions such as automated data collection, standardized data analysis, real-time health assessment, and continuous monitoring, simplifies the assessment process, reduces the burden on medical staff and the elderly, and realizes timely monitoring and intervention of the health status of the elderly. These beneficial effects are of great significance for improving the level of health management of the elderly and promoting healthy aging.

[0031] Furthermore, the data acquisition module includes a medical device component and a wearable device component. The medical device component is used to obtain physiological indicator data at a regular interval, and the wearable device component is used to obtain daily activity data in real time throughout the day.

[0032] Beneficial effects: Medical device components can regularly obtain key physiological indicator data of the elderly, such as blood pressure, blood sugar, heart rate and blood oxygen saturation, which are crucial for assessing the health status of the elderly. Regular measurement can ensure the accuracy and timeliness of the data and help discover potential health problems.

[0033] Wearable device components can obtain the elderly's daily activity data in real time throughout the day, including the number of steps, sleep quality, activity intensity and changes in body position. These data reflect the elderly's living habits, mobility and quality of life, and provide an important reference for assessing their overall health status. Real-time data collection enables the system to dynamically monitor the health status of the elderly and capture the changing trends of health data in a timely manner, which helps to detect health problems early and take appropriate measures to intervene.

[0034] Combining physiological index data with daily activity data, the system can conduct more comprehensive data analysis to more accurately assess the health status of the elderly. This multi-dimensional assessment method helps to identify potential health risks and provide a basis for formulating personalized health management plans.

[0035] Furthermore, physiological indicator data include but are not limited to blood pressure, heart rate, blood sugar, blood oxygen saturation, body temperature, weight and heart health data; daily activity data include but are not limited to number of steps, activity duration, sleep quality, sedentary time, fall detection records and daily habit analysis.

[0036] Beneficial effects: By collecting physiological indicators such as blood pressure, heart rate, blood sugar, blood oxygen saturation, body temperature, weight, and heart health data, the system can have a more comprehensive understanding of the physical condition of the elderly. These indicators cover multiple aspects such as the cardiovascular system, metabolic system, and respiratory system, providing a solid foundation for assessing the overall health level of the elderly. The system can monitor physiological indicator data in real time and issue an immediate warning once an abnormality is found. This helps to detect potential health problems such as high blood pressure, diabetes, heart disease, etc. at an early stage, buying valuable time for timely intervention and treatment.

[0037] The collection of daily activity data such as number of steps, activity duration, sleep quality, sedentary time, fall detection records, and daily habit analysis allows the system to gain in-depth insights into the lifestyles and habits of the elderly. These data not only reflect the mobility and quality of life of the elderly, but also provide important clues for assessing their health risks. Through the analysis of daily activity data, the system can identify health risks in the lives of the elderly, such as poor blood circulation caused by long periods of sitting, and poor sleep quality affecting mental state. These risk identifications help guide the elderly to adjust their lifestyles and reduce health risks.

[0038] Furthermore, the user interaction module includes a touch screen, a voice interaction component and a remote communication component. The touch screen is used to display the operation interface, analysis results and health assessment reports; the voice interaction component is used to realize the input of voice commands and the output of voice feedback; and the remote communication component is used to communicate remotely with medical staff or family members.

[0039] Beneficial effects: The touch screen provides an intuitive and easy-to-use operating interface. The elderly can view health data, analysis results and health assessment reports through simple touch operations. This intuitive operation method reduces the learning cost and improves the convenience of use for the elderly. The voice interaction component allows the elderly to interact with the system through voice commands without manual operation. This is especially important for the elderly with poor eyesight or inconvenient hand movements, which improves the user experience and autonomy. The remote communication component enables the elderly to communicate remotely with medical staff or family members, which helps to timely transmit health information, obtain professional advice or share daily life, and enhances the care and connection between family members. In an emergency, the remote communication component can quickly contact relevant personnel to ensure that the elderly receive timely help and rescue.

[0040] Furthermore, it also includes an intelligent early warning module. When the data analysis module finds that the health data of the elderly is abnormal, the intelligent early warning module can automatically trigger the early warning mechanism, notify medical staff or the elderly’s family members through the user interaction module, and prompt them to take corresponding measures.

[0041] Beneficial effects: The intelligent early warning module can monitor the health data of the elderly in real time, and immediately trigger the early warning mechanism once an abnormality is found. This immediacy ensures the early detection of health problems, buying valuable time for timely intervention and treatment. Early detection of health problems and taking corresponding measures can significantly reduce the risk of disease deterioration and avoid or reduce health damage. This is especially important for the elderly, because their physical functions are relatively weak and their resistance to disease is poor.

[0042] Furthermore, it also includes a data backup and recovery module, which is used to regularly back up the data in the system and restore the data when needed.

[0043] Beneficial effects: Regularly backing up key data in the system, such as physiological indicator data, daily activity data, health assessment reports, etc., can effectively prevent data loss due to system failure, hardware damage or human error. In the event of data loss or system failure, the data backup and recovery module can quickly restore data to ensure that the system can resume normal operation as soon as possible. This helps to ensure the continuity and stability of health assessment services and avoid inconvenience or health risks to the elderly due to service interruptions.

[0044] Furthermore, it also includes a personalized health module, which is used to provide customized diet, exercise and medication recommendations based on the health assessment results and personal needs of the elderly.

[0045] Beneficial effects: The personalized health module can provide customized diet, exercise and medication recommendations based on the health assessment results and personal needs of the elderly. This personalized service can more accurately meet the health needs of the elderly and improve the pertinence and effectiveness of health management. Through customized recommendations based on data analysis, the elderly can obtain scientific diet, exercise and medication guidance, which helps improve health, prevent diseases or alleviate disease symptoms.

[0046] A medical health assessment method for the elderly, the specific steps are as follows:

[0047] Step 1: Data collection: collect physiological index data and daily activity data of the elderly through medical device components and wearable device components;

[0048] Step 2: Data analysis: The collected data is transferred to the data analysis module for cleaning, processing and analysis to extract key health information;

[0049] Step 3: Data confirmation: The analysis results are displayed to the elderly through the user interaction module, and it is confirmed whether the analysis results are consistent with the elderly’s actual daily behavior. If the analysis results are consistent, the next step of evaluation is carried out. If the analysis results are inconsistent, the data is collected again and the abnormal data is recorded;

[0050] Step 4: Health assessment and feedback. Based on the results confirmed by the data analysis module, the health assessment module conducts a comprehensive assessment of the medical health status of the elderly and generates a health assessment report.

[0051] Beneficial effects:

[0052] 1. Improve the accuracy and reliability of assessment: By combining medical device components and wearable device components, the physiological indicator data and daily activity data of the elderly can be collected comprehensively and in real time. This multi-source data collection method improves the comprehensiveness and accuracy of the data and provides a more reliable data basis for subsequent health assessments. The data analysis module cleans, processes and analyzes the collected data, which can remove noise data, fill in missing values, correct erroneous data, etc., to ensure the accuracy and availability of the data. This process improves the quality of the data and further improves the accuracy of health assessments.

[0053] 2. Enhance user participation and trust: The analysis results are presented to the elderly through the user interaction module, allowing them to confirm whether the analysis results are consistent with their actual daily behavior. This step enhances the participation of the elderly, enables them to better understand their health status, and increases their trust in the health assessment results. When the analysis results are inconsistent with the actual daily behavior of the elderly, the system will re-collect the data and record the abnormal data. This feedback mechanism helps to detect and correct errors in a timely manner, improves the accuracy and reliability of health assessments, and also allows the elderly to feel the care and professionalism of the system.

[0054] 3. Provide personalized health assessment and suggestions: Based on the results confirmed by the data analysis module, the health assessment module conducts a comprehensive assessment of the medical health status of the elderly. This comprehensive assessment not only focuses on the changes in physiological indicators, but also combines daily activity data to provide a more comprehensive and in-depth analysis of the health status of the elderly. The health assessment report generated by the system records in detail the health status, potential health risks and improvement suggestions of the elderly. These personalized suggestions help the elderly better understand their health status and take appropriate measures to maintain or improve their health.

[0055] 4. Promote the rational allocation of medical resources: Through regular medical health assessments, medical institutions can timely understand the health status and needs of the elderly, and thus provide them with more accurate health management services. This kind of accurate health management helps to rationally allocate medical resources, reduce unnecessary medical waste, and improve the efficiency and quality of medical services.

[0056] Furthermore, in step three, when the analysis results are confirmed to be consistent, the collected data is regularly used to update the standard data set in the data analysis module.

[0057] Beneficial effects: By regularly updating the standard data, the data analysis module can reflect the latest changes in the health status of the elderly. This dynamic update method ensures the timeliness and accuracy of the evaluation standards, making the health assessment results closer to the actual health status of the elderly. Since the standard data is updated based on the actual data of the elderly, it can more accurately reflect the individual differences of the elderly. This personalized adjustment helps to provide more accurate health assessments and recommendations. Regularly updating the standard data actually establishes a feedback loop, that is, data collection, analysis, confirmation, updating of standard data, and then returning to the cycle of data collection. This cycle continuously optimizes the health assessment process, making the assessment results more accurate and reliable.

[0058] Further, step five: provide customized diet, exercise and medication recommendations to the elderly through a personalized health module based on their age, gender, medical history and health assessment results.

[0059] Beneficial effects: By comprehensively considering the multi-dimensional information of the elderly (age, gender, medical history, health assessment results), the personalized health module can provide more accurate diet, exercise and medication recommendations. These recommendations can be targeted at the specific health conditions and needs of the elderly, and achieve "one person, one policy" precise health management. In the process of providing customized recommendations, the personalized health module can also popularize relevant health knowledge to the elderly, helping them understand the importance of healthy diet, reasonable exercise and correct medication. This helps to enhance the health awareness of the elderly and enable them to pay more attention to and manage their own health. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a framework diagram of an embodiment of the medical health assessment system for the elderly of the present invention;

[0061] Figure 2 It is a flow chart of an embodiment of the medical health assessment system for the elderly of the present invention;

[0062] Figure 3 The present invention is a flowchart of an embodiment of the medical health assessment method for the elderly. DETAILED DESCRIPTION

[0063] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0064] The following is further described in detail through specific implementation methods:

[0065] Embodiment, basically as attached Figure 1 , Figure 2 and Figure 3 As shown: A medical health assessment system for the elderly, including: a data acquisition module, used to collect various data related to the health status of the elderly; the data acquisition module includes a medical device component and a wearable device component, the medical device component is used to regularly obtain physiological indicator data, the physiological indicator data include but are not limited to blood pressure, heart rate, blood sugar, blood oxygen saturation, body temperature, weight and heart health data; the wearable device component is used to obtain daily activity data in real time throughout the day, the daily activity data include but are not limited to the number of steps, activity duration, sleep quality, sedentary time, fall detection records and daily habit analysis.

[0066] The data analysis module is used to receive the data transmitted by the data acquisition module and process and analyze the collected data based on preset standard data.

[0067] The health assessment module is used to assess the medical health of the elderly based on the analysis results of the data analysis module.

[0068] The user interaction module is responsible for the interaction between the system and the user, including displaying analysis results, health assessment reports and receiving user feedback; the user interaction module includes a touch screen, a voice interaction component and a remote communication component. The touch screen is used to display the operation interface, analysis results and health assessment reports; the voice interaction component is used to realize the input of voice commands and the output of voice feedback; the remote communication component is used for remote communication with medical staff or family members.

[0069] The control module is used to coordinate the operations of various modules. The control logic of the control module is: when the data collected by the data acquisition module changes or reaches a preset time interval, the data analysis module is triggered to process and analyze the data; when the data analysis is completed, the control module receives the analysis results, and at the same time the control module triggers the user interaction module, and the user interaction module confirms the analysis results with the elderly; if the elderly confirm that the analysis results are consistent with their own feelings or actual behaviors, the control module proceeds to the next step; if the analysis results are inconsistent, the control module will guide the user to re-collect data; when it is confirmed that the analysis results are consistent with the monitoring data, the data will be recorded, and the health assessment module will conduct a comprehensive assessment of the medical health of the elderly based on the preset health standards and assessment models and all recorded data at a predetermined time, and generate a health assessment report.

[0070] It also includes an intelligent early warning module. When the data analysis module finds that the health data of the elderly is abnormal, the intelligent early warning module can automatically trigger the early warning mechanism, notify medical staff or the elderly’s family members through the user interaction module, and prompt them to take corresponding measures.

[0071] It also includes a data backup and recovery module, which is used to regularly back up the data in the system and restore the data when needed.

[0072] It also includes a personalized health module to provide customized diet, exercise and medication recommendations based on the health assessment results and personal needs of the elderly.

[0073] The specific implementation process is as follows: at a preset time point (such as early morning or before or after meals), the medical device components are automatically or manually started to obtain the physiological index data of the elderly, including but not limited to blood pressure, heart rate, blood sugar, blood oxygen saturation, body temperature, weight and heart health data. These data are transmitted to the system wirelessly or wiredly.

[0074] Wearable device components (such as smart watches or health bracelets) monitor the elderly's daily activity data around the clock, such as steps, activity duration, sleep quality, sedentary time and daily behavior, and record fall detection events and daily habit analysis in real time. These data are automatically synchronized to the system via Bluetooth or other wireless communication technologies.

[0075] When the data acquisition module collects enough data or reaches a preset time interval, the control module triggers the data analysis module. The data analysis module receives data from medical device components and wearable device components, cleans, processes and analyzes them based on preset standard data, extracts key health information, and compares them with historical data or health standards.

[0076] After the data analysis is completed, the control module triggers the user interaction module. The analysis results are displayed on the touch screen, and the voice interaction component informs the elderly of the analysis results through voice feedback. The elderly can view detailed reports through the touch screen, or confirm whether the analysis results are consistent with their own feelings or actual behaviors through voice interaction. If the elderly confirm that the analysis results are consistent, the control module will proceed to the next step; if the elderly have doubts about the analysis results, the system provides the function of re-collecting data and guides the elderly to conduct necessary reviews. At the same time, when the analysis results are confirmed to be consistent, the collected data will be regularly updated with the standard data set in the data analysis module.

[0077] For example, taking the action data of the elderly putting on shoes and socks or going to the toilet as an example, the data analysis module identifies the daily activity pattern of the elderly during this period and analyzes that he / she may have put on shoes and socks or gone to the toilet. Then, the user interaction module will present this analysis result to the elderly in a friendly way:

[0078] The touch screen may display a message such as: "We detected that you recently put on shoes and socks and went to the toilet, which is an important part of daily life. Please continue to maintain good living habits." At the same time, there may be charts or animations on the screen to help explain the results, making them easier to understand. Or the voice interaction component will say: "Hello, the system has recorded that you recently completed the activities of putting on shoes and socks and going to the toilet, which helps maintain your daily activity ability. If you feel that the analysis results are consistent with your actual behavior, please confirm."

[0079] At this time, seniors have two options:

[0080] (1) Confirmation of analysis results: If the elderly person believes that the analysis results are consistent with his / her actual behavior, he / she can confirm it by pressing the "Confirm" button on the touch screen or by voice command (such as saying "Yes, correct"). Once confirmed, the control module will receive this signal and proceed to the next step, such as generating a health assessment report or providing personalized recommendations based on the assessment results.

[0081] (2) Raising questions: If the elderly have any questions about the analysis results or think they are inaccurate, he / she can raise questions through the "Recheck" button on the touch screen or voice commands (such as saying "No, that's not true"). The system will respond to this request, provide the option to re-collect data, and guide the elderly to conduct necessary re-examinations. The re-examination may include re-wearing the wearable device, re-measuring with a medical device, or simply confirming that the activity record is accurate. Through such an interactive process, the system can ensure the accuracy of the analysis results and the elderly's satisfaction with the results, providing a reliable basis for subsequent health assessments and personalized recommendations.

[0082] When it is confirmed that the analysis results are consistent with the monitoring data, the data will be recorded. The health assessment module will conduct a comprehensive assessment of the medical health of the elderly at a predetermined time (such as before going to bed every night or at 8 o'clock every night) based on the preset health standards and assessment model and all recorded data. The assessment process takes into account factors such as the elderly's age, gender, and medical history, and generates a detailed health assessment report.

[0083] The details are as follows: The health assessment module constructs assessment indicators based on the assessment indicators and scoring standards in the "Specifications for the Assessment of Abilities of the Elderly", which include 4 first-level indicators and 26 second-level indicators, as shown in Table 1.

[0084] Table 1 Elderly health assessment indicators

[0085]

[0086] Among them, self-care ability and basic motor skills refer to the indicators that the elderly need to complete every day, mainly including all aspects of food, clothing, housing and transportation; mental state refers to the external performance data of the elderly in cognitive function, behavior, emotion, consciousness level, etc.; perception and social participation refers to the elderly’s vision, hearing, communication and other items, reflecting the data of the elderly’s communication with the outside world.

[0087] Each item in the secondary index is divided into five levels from good to poor according to the degree of intactness of the elderly's ability, with scores of 4, 3, 2, 1 and 0 respectively. Taking putting on and taking off shoes and socks as an example, being able to complete it independently without assistance is scored 4 points; completing it under the guidance and prompting of others is scored 3 points; completing it mainly by oneself but requiring assistance from others is scored 2 points; mainly relying on the assistance of others and being able to cooperate is scored 1 point; completely relying on the assistance of others and being unable to cooperate is scored 0 points.

[0088] The assessors will test and score the 26 secondary indicators one by one. The assessment system will automatically add each item to the score and determine the preliminary level of the elderly's ability based on the total score. The standards are: (1) intact ability: 90 points or above; (2) mild disability: 66-89 points; (3) moderate disability: 46-65 points; (4) severe disability: 30-45 points; (5) complete disability: 0-29 points.

[0089] The final assessment level is determined based on the scoring criteria and the basic health conditions of the elderly. If any of the following three situations occurs, the ability level will be changed: (1) Those who are in a coma will be directly assessed as completely disabled; (2) Those diagnosed with dementia or other mental and behavioral disorders diagnosed by psychiatrists will be assessed one level higher than the initial level; (3) Those who have experienced two or more care risk events such as falls, choking, suicide, self-injury, and loss of care in the past month will be assessed one level higher than the initial level. The ability assessment is ultimately divided into five levels, namely intact ability, mild disability, moderate disability, severe disability, and complete disability.

[0090] During the data analysis process, if the intelligent early warning module finds abnormalities in the health data of the elderly (such as a sharp increase in blood pressure, abnormal heart rate, etc.), the early warning mechanism will be automatically triggered. The user interaction module (touch screen, voice interaction or remote communication component) will promptly notify medical staff or the elderly’s family members and give corresponding emergency measures.

[0091] The data backup and recovery module regularly backs up key data in the system (such as health assessment reports, user settings, analysis results, etc.) and stores them in a safe location. In the event of data loss or system failure, data can be quickly restored to ensure the continuity of system operation and data integrity.

[0092] The personalized health module provides customized diet, exercise and medication recommendations based on the health assessment results and personal needs of the elderly. These recommendations are presented to the elderly, their families or medical staff in the form of text, graphics or voice through the user interaction module to help them develop a scientific and reasonable health management plan.

[0093] The medical health assessment system for the elderly of the present invention can comprehensively and accurately assess the health status of the elderly, and provide timely warnings and personalized health advice, thereby facilitating health management and disease prevention for the elderly.

[0094] The specific evaluation process is as follows:

[0095] Automatic monitoring: Every morning, the elderly or their families use medical equipment (such as smart blood pressure monitors and blood glucose meters) to measure and record Grandma Li's blood pressure (120 / 80mmHg), heart rate (70 times / min), blood sugar (fasting 5.6mmol / L), blood oxygen saturation (96%), body temperature (36.5℃), visual and hearing response, and weight (60kg). These data are automatically transmitted to the system via Wi-Fi or Bluetooth. The wearable device components worn by Grandma Li (such as smart bracelets) monitor her daily activities around the clock, including the number of steps (3,000 steps today), activity duration (a total of 1 hour, including walking on flat ground, going up and down stairs, and bed and chair transfers), sleep quality (2 hours of deep sleep, 4 hours of light sleep), 4 meals, 6 toilet visits, sedentary time (2 hours), and fall detection (no fall record).

[0096] Specific activity monitoring: By analyzing the activity data of the wearable device components, the system identified that Grandma Li put on clothes / shoes and socks and went to the toilet in the morning.

[0097] User interaction stage: Grandma Li saw the system prompt on the touch screen: "We detected that you put on shoes and socks and went to the toilet recently, please confirm." After confirming that it was correct, she tapped the "Confirm" button and confirmed that it was completed independently. The system recorded it and continued to the next step. After the data was analyzed by the algorithm, it was confirmed that the relevant parts of her self-care ability scored high (for example, putting on and taking off shoes and socks scored 4 points, indicating independent completion).

[0098] Health assessment phase: At 8 o'clock every night, the health assessment module is activated to conduct a comprehensive assessment based on Grandma Li's various monitoring data throughout the day, combined with her age, gender and medical history.

[0099] Evaluation process: Based on the data from wearable device components and medical device components, Grandma Li's ability in eating, bathing, dressing and undressing, controlling urination and defecation, and going to the toilet was evaluated. The total score was high, indicating that she performed well in this regard. Based on data such as the number of steps and activity duration, her ability to transfer body positions in bed, transfer between beds and chairs, walk on flat ground, and go up and down stairs was also evaluated, and she performed well. Through daily behavior monitoring and possible question-and-answer tests (such as user interaction modules regularly asking simple questions such as time and place), her cognitive function, emotional state, etc. were evaluated, and no abnormalities were found. A comprehensive score was given based on self-reports of vision and hearing and records of social activities (such as using transportation to go out, social skills, etc.). After all secondary indicators are scored, the system automatically calculates the total score. Assuming that Grandma Li's total score is 92 points, she is judged to be "well-equipped" according to the evaluation criteria.

[0100] Based on the evaluation results, the system provides personalized health advice to Grandma Li, such as: "Congratulations, you are in very good health. It is recommended that you continue to exercise moderately, eat a balanced diet, and have regular health checks."

[0101] Special case handling: Assuming that Grandma Li has fallen in the past month, the system will raise the initial assessment level by one level based on this risk event, re-evaluate and adjust the recommendations to ensure more detailed and thoughtful care services. Through this process, the system not only realizes the comprehensive monitoring and evaluation of Grandma Li's health status, but also ensures the accuracy of the evaluation results and the pertinence of personalized recommendations through user interaction, providing strong support for the health management of the elderly.

[0102] Intelligent early warning mechanism: Assume that Grandma Li is an elderly person suffering from hypertension and uses smart medical devices to monitor her blood pressure and heart rate on a daily basis. One day, when the system was collecting data, the intelligent early warning module suddenly detected that Grandma Li's blood pressure rose sharply to 180 / 110 mmHg, and her heart rate also abnormally increased to 120 beats / minute, far exceeding the normal range. The early warning mechanism will be triggered immediately, and a red alarm message will be displayed on the touch screen of the user interaction module: "Emergency notice: Your blood pressure and heart rate have seriously exceeded the standard. Please seek medical attention or contact your family immediately." At the same time, the system also automatically dialed the preset emergency contact number (Grandma Li's son) and played an emergency voice message through the voice interaction component: "Hello, this is Grandma Li's health monitoring system. Grandma Li's blood pressure and heart rate are in emergency. Please deal with it as soon as possible."

[0103] On the user interface, the system also lists suggestions for emergency response measures, such as: "Please keep Grandma Li calm and avoid strenuous exercise; take antihypertensive medication immediately (if prescribed by a doctor); wait for medical staff to arrive or go to the hospital on your own." After the warning is triggered, the system will continue to monitor Grandma Li's various physiological indicators and update the warning status in real time until the situation is confirmed to be stable or the medical staff confirms the treatment.

[0104] Data backup and recovery module: Considering the stability of the system and the security of data, the data backup and recovery module regularly performs key data backup. The data backup and recovery module is set to automatically perform data backup tasks at 1 a.m. every day, and uploads key data such as health assessment reports, user settings and analysis results in the past week to the cloud storage server or local secure hard disk after packaging and encryption. If some data is lost due to a system accident one day, the data backup and recovery module will start immediately, extract the lost data from the most recent backup file, and automatically restore it to the system. The entire process does not require manual intervention, ensuring the continuity of system operation and data integrity.

[0105] Personalized health module: Based on Grandma Li's health assessment results, the personalized health module provides her with customized health advice. Considering that Grandma Li has a slight tendency to diabetes, the system recommends that she reduce the intake of high-sugar foods and increase the intake of dietary fiber and high-quality protein. These suggestions are presented to Grandma Li in a graphic and textual form through the touch screen, such as: "Recommended recipe: oatmeal porridge + boiled eggs + stir-fried vegetables, low in sugar and high in fiber, good for health." Based on Grandma Li's physical condition and preferences, the system recommends that she do light exercise such as walking or Tai Chi for at least 30 minutes a day. The suggestion is played to Grandma Li through the voice interaction component: "Grandma Li, the weather is good today, suitable for a half-hour walk in the park, remember to wear comfortable shoes."

[0106] For the antihypertensive drugs that Grandma Li is taking, the system reminds her to take them on time and in the right dosage, and to pay attention to drug interactions. These reminders are sent to Grandma Li's daughter via the remote communication component, and are also displayed to Grandma Li herself via the touch screen to ensure that she does not miss or take the wrong medication.

[0107] The above is only an embodiment of the present invention, and the common knowledge such as the known specific structure and / or characteristics in the scheme is not described in detail here. It should be pointed out that for those skilled in the art, several deformations and improvements can be made without departing from the structure of the present invention, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A medical health assessment system for the elderly, characterized in that: include: Data collection module, used to collect various data related to the health status of the elderly; The data analysis module is used to receive the data transmitted by the data acquisition module and process and analyze the collected data based on the preset standard data; The health assessment module is used to assess the medical health of the elderly based on the analysis results of the data analysis module; The user interaction module is responsible for the interaction between the system and the user, including displaying analysis results, health assessment reports, and receiving user feedback; The control module is used to coordinate the operation of various modules. The control logic of the control module is: When the data collected by the data acquisition module changes or reaches a preset time interval, the data analysis module is triggered to process and analyze the data; When the data analysis is completed, the control module receives the analysis results, and at the same time the control module triggers the user interaction module, which confirms the analysis results with the elderly; If the elderly person confirms that the analysis results are consistent with their feelings or actual behaviors, the control module proceeds to the next step; If the analysis results are inconsistent, the control module will guide the user to re-collect data; When it is confirmed that the analysis results are consistent with the monitoring data, the data will be recorded, and the health assessment module will conduct a comprehensive assessment of the medical health status of the elderly based on the preset health standards and assessment model and all recorded data at a scheduled time, and generate a health assessment report.

2. The medical health assessment system for the elderly according to claim 1, characterized in that: The data acquisition module includes a medical device component and a wearable device component. The medical device component is used to obtain physiological indicator data at a regular interval, and the wearable device component is used to obtain daily activity data in real time throughout the day.

3. The medical health assessment system for the elderly according to claim 2, characterized in that: Physiological indicator data include but are not limited to blood pressure, heart rate, blood sugar, blood oxygen saturation, body temperature, weight and heart health data; daily activity data include but are not limited to number of steps, activity duration, sleep quality, sedentary time, fall detection records and daily habit analysis.

4. The medical health assessment system for the elderly according to claim 1, characterized in that: The user interaction module includes a touch screen, a voice interaction component and a remote communication component. The touch screen is used to display the operation interface, analysis results and health assessment reports; the voice interaction component is used to realize the input of voice commands and the output of voice feedback; the remote communication component is used for remote communication with medical staff or family members.

5. The medical health assessment system for the elderly according to claim 1, characterized in that: It also includes an intelligent early warning module. When the data analysis module finds that the health data of the elderly is abnormal, the intelligent early warning module can automatically trigger the early warning mechanism, notify medical staff or the elderly’s family members through the user interaction module, and prompt them to take corresponding measures.

6. The medical health assessment system for the elderly according to claim 1, characterized in that: It also includes a data backup and recovery module, which is used to regularly back up the data in the system and restore the data when needed.

7. The medical health assessment system for the elderly according to claim 1, characterized in that: It also includes a personalized health module to provide customized diet, exercise and medication recommendations based on the health assessment results and personal needs of the elderly.

8. A method for medical health assessment of the elderly, characterized in that: The specific steps are as follows: Step 1: Data collection: collecting physiological index data and daily activity data of the elderly through medical device components and wearable device components; Step 2: Data analysis: The collected data is transferred to the data analysis module for cleaning, processing and analysis to extract key health information; Step 3: Data confirmation: The analysis results are displayed to the elderly through the user interaction module, and it is confirmed whether the analysis results are consistent with the elderly’s actual daily behavior. If the analysis results are consistent, the next step of evaluation is carried out. If the analysis results are inconsistent, the data is collected again and the abnormal data is recorded; Step 4: Health assessment and feedback. Based on the results confirmed by the data analysis module, the health assessment module conducts a comprehensive assessment of the medical health status of the elderly and generates a health assessment report.

9. The method for medical health assessment of the elderly according to claim 8, characterized in that: In step 3, when the analysis results are confirmed to be consistent, the collected data is used regularly to update the standard data set in the data analysis module.

10. The method for medical health assessment of the elderly according to claim 8, characterized in that: Step 5: Provide customized diet, exercise and medication recommendations to the elderly through a personalized health module based on their age, gender, medical history and health assessment results.

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