Elderly home health risk event grading early warning method and system

Abstract

The invention provides a graded early warning method and system for a home health risk event of the aged, and the method comprises the steps: 1, obtaining health risk index data of the aged at home through intelligent monitoring equipment, carrying out the classification and summarization of the obtained index data according to a home health risk scene, and determining a home health risk monitoring index; 2, identifying home health events of the monitored person by detecting the change of the monitoring indexes, and classifying the events into different grades according to the event types and degrees; and step 3, performing graded early warning according to different grades, namely performing pop-up warning on the corresponding terminal according to the identified monitoring information when the health event reaches the triggering condition of the corresponding early warning grade. According to the invention, through classification and grading of the monitoring data, possible health problems of the elderly can be identified in an early stage, timely alarm can be given for sudden health events, and the life quality and survival opportunities of the elderly are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of health management, and in particular to a method and system for grading and warning of health risk events for the elderly at home. Background Art

[0002] Chronic diseases and sudden health events (such as aspiration and falls) in the elderly have become the main causes of death and loss of life ability in the elderly. Chronic diseases are characterized by long course, complex condition and multiple complications, while sudden health events are random and sudden. The health care of the elderly often requires long-term and continuous treatment and care, which not only brings physical pain to the elderly, but also brings a heavy economic burden to the family and society. The existing elderly care model lacks real-time monitoring and effective intervention of the health status of the elderly at home. Once the elderly have health problems, they often need to seek medical treatment immediately, which increases the consumption of medical resources and delays the best time for intervention. Therefore, how to achieve real-time monitoring of the health status of the elderly at home and take timely intervention measures has become an important issue to be solved in the field of chronic disease management. At present, there are many smart devices on the market for monitoring the physical and environmental indicators of the elderly, such as smart bracelets, smart mattresses and smart toilets. However, these devices generally have the problem of single function and can only monitor one or a certain type of indicator. They lack comprehensive health risk assessment and management capabilities, and lack supporting systematic analysis, hierarchical management, and hierarchical early warning mechanisms, making it difficult to achieve effective large-scale health management for elderly people at home. Summary of the invention

[0003] In view of the technical problems existing in the prior art, the present invention proposes a hierarchical early warning method and system for elderly home health risk events, classifies the data captured by home monitoring equipment, and provides an effective risk event hierarchical early warning method and early warning mechanism. By classifying and grading the monitoring data, it is possible to identify health risk events that may occur in the elderly at an early stage, and to promptly warn of sudden health events. By early identification and timely intervention of health events, the quality of life and survival opportunities of the elderly can be improved, the direct and indirect consumption of medical expenses can be reduced, medical resources can be optimized, the Healthy China strategy can be promoted, a sustainable medical and health system can be built, and an elderly-friendly society can be created.

[0004] According to a first aspect of the present invention, the present invention provides a method for early warning of health risk events at home for the elderly, comprising the following steps:

[0005] Step 1. Obtain health risk indicator data of elderly people at home through intelligent monitoring equipment, classify and summarize the obtained indicator data according to the family health risk scenario, and determine the home health risk monitoring indicators;

[0006] Step 2. Identify the home health events of the monitored person by detecting changes in monitoring indicators, and classify the events into different levels according to the type and severity of the events;

[0007] Step 3. Provide graded warnings for different levels, including: based on the identified monitoring information, when the health event reaches the triggering conditions of the corresponding warning level, a pop-up window warning is displayed on the corresponding terminal.

[0008] Based on the above technical solution, the present invention can also make the following improvements.

[0009] Optionally, the intelligent monitoring device includes at least one of a smart mattress, a smart toilet seat, a smart body movement monitor, a sound detector, a smart bracelet, and an SOS one-touch call button.

[0010] Optionally, the intelligent detection device is communicatively connected to a cloud server, which stores a health risk event grading model, and the health risk event grading model is established based on monitoring indicator data and health and safety events.

[0011] Optionally, the home health risk monitoring indicators include sleep, vital signs monitoring, body temperature, body movement monitoring, cough monitoring, medication monitoring and bowel movement monitoring.

[0012] Optionally, the classifying and summarizing the obtained indicator data according to the family health risk scenario includes:

[0013] The acquired indicator data are divided into "static monitoring indicators" and "dynamic monitoring indicators" according to different monitoring scenarios; among them,

[0014] Static detection indicators are vital signs and indicators related to the body's resting state; including: body temperature, blood pressure, respiratory rate, oxygenation index, sleep time, number of times getting up at night, and pressure sores;

[0015] Dynamic indicators are indicators related to daily activities, including: daily activity time, number of choking and coughing, falling out of bed, falls, medication monitoring, environmental safety and number of bowel movements.

[0016] Optionally, the classifying of events into different levels according to event types and degrees includes:

[0017] Changes in indicators and events that require vigilance or lifestyle intervention are included in the first-level home safety events, changes in indicators and events that require health guidance and community medical intervention are included in the second-level home safety events, and those that require emergency medical intervention or hospitalization are included in the third-level home safety events.

[0018] Optionally, when the health event reaches the triggering condition of the corresponding warning level according to the identified monitoring information, a pop-up window warning is issued to the corresponding terminal, including:

[0019] When a level one home safety incident is triggered, a pop-up warning will be given to elderly users, children or guardians in the same hospital, and they will perform self-management corrections; when a level two home safety incident is triggered, the warning will be given to family doctors and communities, who will visit them and provide health guidance; when a level three home safety incident is triggered, a pop-up warning will be given to medical institutions and project administrative departments, and a comprehensive assessment will be made as to whether emergency medical intervention is needed.

[0020] Optionally, when a high-level security event is triggered, a low-level security event will be automatically triggered synchronously.

[0021] According to a second aspect of the present invention, a system for grading and warning of health risk events at home for the elderly is provided, which is used in the above-mentioned method for grading and warning of health risk events at home for the elderly, and the system comprises:

[0022] Smart testing equipment to obtain health data of people living at home;

[0023] Intelligent early warning module, which is used to identify health risk events through AI intelligent analysis, determine whether to trigger corresponding home safety events based on event type and frequency, and pop up warning windows on terminals of different levels according to classification requirements when the triggering criteria are met;

[0024] The cloud server is in communication with the intelligent detection device, and is used to determine whether a health and safety incident has occurred based on the health data, determine the incident level based on the incident type, and issue graded warnings based on the incident level.

[0025] Optionally, the system further includes:

[0026] A mobile terminal, connected to the cloud server for receiving and displaying health warning information from the cloud server;

[0027] An emergency rescue device, connected to the cloud server for activation upon receipt of an emergency rescue instruction from the cloud server;

[0028] An appointment booking system, which is in communication with the cloud server and is used to start upon receiving an appointment booking instruction from the cloud server;

[0029] The remote health guidance system is connected to the cloud server for communication and is used to start when receiving health guidance information from the cloud server.

[0030] Technical effects and advantages of the present invention:

[0031] The present invention provides a method and system for grading and warning of health risk events at home for the elderly. The present invention monitors health and safety events of the elderly through intelligent detection equipment, and grades them according to the event types, and makes graded warnings according to the grades. It realizes graded warning of health and safety risks at home, reduces the occurrence of related chronic diseases and complications through early identification and intervention, thereby improving the quality of life and survival chance of the elderly, reducing the direct and indirect consumption of medical expenses, and optimizing medical resources.

[0032] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a flow chart of the elderly home health risk classification management solution provided by an embodiment of the present invention;

[0034] Figure 2 It is a home health risk monitoring index diagram provided by an embodiment of the present invention;

[0035] Figure 3 is a home health risk event classification diagram provided by an embodiment of the present invention;

[0036] Figure 4 This is a graded warning diagram for home health risk events provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] It is understandable that, based on the defects in the background technology, reference is made to Figure 1 The figure is a flow chart of the hierarchical management scheme for elderly home health risks. The embodiment of the present invention proposes a hierarchical early warning method for elderly home health risk events, and the method comprises the following steps:

[0039] Step 1. Obtain health risk indicator data of elderly people at home through intelligent monitoring equipment, classify and summarize the obtained indicator data according to the family health risk scenario, and determine the home health risk monitoring indicators;

[0040] It should be noted that the smart monitoring equipment described in the embodiments of the present invention includes but is not limited to a smart mattress, a smart toilet seat, a smart body movement monitor, a sound detector, a smart bracelet, an SOS one-key call button, etc. The smart detection equipment is connected to a cloud server in communication, and a health risk event classification model is stored on the cloud server, and the health risk event classification model is established based on monitoring indicator data and health and safety events.

[0041] In the above implementation scheme, the classification and summary of the obtained indicator data according to the family health risk scenario includes:

[0042] Based on common home safety events or scenarios, including: fever, falls, falling out of bed, hypothermia, suffocation, headache, dizziness, syncope..., the indicator data of these events are classified and summarized, and monitoring indicators that can identify these events are selected.

[0043] In this embodiment, the health risk indicator data of the elderly at home include: body temperature, blood pressure monitoring, respiratory rate monitoring, sleep, number of getting up at night, number of turning over monitoring, blood oxygen, vital signs monitoring, body movement monitoring, special sound monitoring, cough monitoring, medication monitoring and defecation monitoring and environmental monitoring;

[0044] According to different monitoring scenarios, they can be divided into two categories: "static monitoring indicators" and "dynamic monitoring indicators". Figure 2 As shown in the figure, static detection indicators mainly include vital signs and indicators related to the body's resting state, such as body temperature, blood pressure, respiratory rate, oxygenation index, sleep time, number of times getting up at night, and pressure sores;

[0045] Dynamic indicators mainly include indicators related to daily activities, such as daily activity time, number of choking and coughing, falling out of bed, falls, medication monitoring, environmental safety and number of bowel movements.

[0046] Step 2. Identify the home health events of the monitored person by detecting changes in monitoring indicators, and classify the events into different levels according to the type and severity of the events;

[0047] In the above implementation scheme, the identification of home health events occurring in the monitored person by detecting changes in monitoring indicators includes:

[0048] Different hierarchical management plans are determined based on the obtained home health risk monitoring indicators, including: dividing the hierarchical management plans into different levels of events, and conducting hierarchical management of elderly people at home according to different levels of events.

[0049] The embodiment of the present invention grades the danger level of security events according to the changes in monitoring indicators and the impact of emergencies on the adverse prognosis (mainly hospitalization and death) of elderly people at home.

[0050] In the above implementation, the classification of events into different levels according to the type and degree of the event includes:

[0051] Changes in indicators and events that require vigilance or lifestyle intervention will be included in "level one home safety events", changes in indicators and events that require health guidance and community medical intervention will be included in "level two home safety events", and those that require emergency medical intervention or hospitalization will be included in "level three home safety events".

[0052] Home health risk event classification reference Figure 3 As shown, the first-level home safety incident includes the following indicators:

[0053] Mild hypothermia (35-36°C)

[0054] Mild fever (37.5-38°C)

[0055] Mild hypotension: systolic blood pressure drops by 5-20 mmHg, diastolic blood pressure drops by 5-10 mmHg.

[0056] Mild increase in blood pressure: systolic blood pressure increased by 5-20 mmHg, diastolic blood pressure increased by 5-10 mmHg.

[0057] Mild changes in breathing rate: slightly more than 20 breaths per minute, but no more than 25

[0058] Mild nocturnal hypoxemia: Nocturnal oxygen saturation 90%-94%, duration >5 minutes

[0059] Mild sleep disorder: less than 7.5 hours of sleep per day, or more than 9 hours of sleep per day

[0060] Waking up more than 2 times / night

[0061] Mild coughing: No more than 3 times a day

[0062] Mild defecation abnormality: The number of bowel movements per day is more than 3 or less than 3. The average bowel movement time is more than 15 minutes or less than 1 minute.

[0063] The secondary home safety incidents include the following indicators:

[0064] Moderate hypothermia (32-35°C)

[0065] Moderate fever (38-39°C)

[0066] Moderate blood pressure reduction: systolic blood pressure drops by 20-40 mmHg, and diastolic blood pressure drops by 10-20 mmHg.

[0067] Moderate increase in blood pressure: systolic blood pressure increases by 20-40 mmHg, and diastolic blood pressure increases by 10-20 mmHg.

[0068] Moderate respiratory rate change: more than 25 but less than 30 breaths per minute

[0069] Moderate nocturnal hypoxemia: nocturnal oxygen saturation 85%-90%, duration > 5 minutes

[0070] Moderate sleep duration abnormality: daily sleep time is less than 6.5 hours or more than 10 hours.

[0071] Waking up more than 4 times / night

[0072] Moderate coughing: No more than 3 coughings per day

[0073] Moderate bowel movement abnormality: bowel movement more than 5 times or less than 1 time per day. Average bowel movement time more than 30 minutes or less than 1 minute.

[0074] As well as missed oral medications and proactively triggered SOS alarms.

[0075] The three-level home safety incidents include the following indicators:

[0076] Significant hypothermia (<32°C)

[0077] Obvious fever (>39°C)

[0078] Severe hypotension: systolic blood pressure drops by >40mmHg, diastolic blood pressure drops by >20mmHg.

[0079] Severe hypertension: systolic blood pressure increased by >40 mmHg, diastolic blood pressure increased by >20 mmHg.

[0080] Mild respiratory rate changes: respiratory rate significantly exceeds the normal range, more than 30 times per minute

[0081] Severe nocturnal hypoxemia: blood oxygen saturation is less than 85% at night and lasts for more than 5 minutes

[0082] Severe sleep disorder: less than 5.5 hours of sleep per day or more than 11 hours

[0083] Waking up more than 6 times per night

[0084] Severe choking: choking more than 6 times a day

[0085] Severe defecation abnormality: more than 8 bowel movements per day or no bowel movements at all. Average bowel movement time is more than 1 hour or less than 30 seconds.

[0086] As well as taking the wrong oral medication, falling out of bed, falls, pressure sores, environmental safety threats, and actively triggering SOS alarms.

[0087] Step 3. Provide graded warnings for different levels, including: based on the identified monitoring information, when the health event reaches the triggering conditions of the corresponding warning level, a pop-up window warning is displayed on the corresponding terminal.

[0088] Home health risk event classification warning reference Figure 4 As shown, when a level one home safety incident is triggered, a pop-up window will be displayed to alert the elderly users, children or guardians in the same hospital, and they will perform self-management corrections; when a level two home safety incident is triggered, the alert will be displayed to the family doctor and the community, who will conduct home visits and health guidance; when a level three home safety incident is triggered, a pop-up window will be displayed to alert the medical institution and project administrative department, and a comprehensive assessment will be made as to whether emergency medical intervention is needed; in addition, when a high-level security incident is triggered, a low-level security incident will be automatically triggered simultaneously.

[0089] According to a second aspect of the present invention, a system for grading and warning of health risk events at home for the elderly is provided, which is used in the above-mentioned method for grading and warning of health risk events at home for the elderly, and the system comprises:

[0090] Smart testing equipment to obtain health data of people living at home;

[0091] Intelligent early warning module, which is used to identify health risk events through AI intelligent analysis, determine whether to trigger corresponding home safety events based on event type and frequency, and pop up warning windows on terminals of different levels according to classification requirements when the triggering criteria are met;

[0092] The cloud server is in communication with the intelligent detection device, and is used to determine whether a health and safety incident has occurred based on the health data, determine the incident level based on the incident type, and issue graded warnings based on the incident level.

[0093] The system further comprises:

[0094] A mobile terminal, connected to the cloud server for receiving and displaying health warning information from the cloud server;

[0095] An emergency rescue device, connected to the cloud server for activation upon receipt of an emergency rescue instruction from the cloud server;

[0096] An appointment booking system, which is in communication with the cloud server and is used to start upon receiving an appointment booking instruction from the cloud server;

[0097] The remote health guidance system is connected to the cloud server for communication and is used to start when receiving health guidance information from the cloud server.

[0098] In summary, the embodiment of the present invention provides a method and system for grading and warning of health risk events at home for the elderly, which monitors health and safety events of the elderly through intelligent detection equipment, and grades them according to the event types, and gives graded warnings according to the grades. It realizes graded warning of health and safety risks at home, reduces the occurrence of related chronic diseases and complications through early identification and intervention, thereby improving the quality of life and survival chances of the elderly, reducing the direct and indirect consumption of medical expenses, and optimizing medical resources.

[0099] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A hierarchical early warning method for health risk events at home for the elderly, characterized in that: The following steps are involved: Step 1. Obtain health risk indicator data of elderly people at home through intelligent monitoring equipment, classify and summarize the obtained indicator data according to the family health risk scenario, and determine the home health risk monitoring indicators; Step 2. Identify the home health events of the monitored person by detecting changes in monitoring indicators, and classify the events into different levels according to the type and severity of the events; Step 3. Provide graded warnings for different levels, including: based on the identified monitoring information, when the health event reaches the triggering conditions of the corresponding warning level, a pop-up window warning is displayed on the corresponding terminal.

2. A method for early warning of health risk events at home for the elderly according to claim 1, characterized in that: The intelligent monitoring device includes at least one of an intelligent mattress, an intelligent toilet seat, an intelligent body movement monitor, a sound detector, a smart bracelet, and an SOS one-touch call button.

3. A method for early warning of health risk events at home for the elderly according to claim 2, characterized in that: The intelligent detection device is communicatively connected to a cloud server, and a health risk event grading model is stored on the cloud server. The health risk event grading model is established based on monitoring indicator data and health and safety events.

4. A method for early warning of health risk events at home for the elderly according to claim 1, characterized in that: The home health risk monitoring indicators include sleep, vital signs monitoring, body temperature, body movement monitoring, cough monitoring, medication monitoring and bowel movement monitoring.

5. A method for early warning of health risk events at home for the elderly according to claim 4, characterized in that: The classification and summary of the obtained indicator data according to the family health risk scenario includes: The acquired indicator data are divided into "static monitoring indicators" and "dynamic monitoring indicators" according to different monitoring scenarios; among them, Static detection indicators are vital signs and indicators related to the body's resting state; including: body temperature, blood pressure, respiratory rate, oxygenation index, sleep time, number of times getting up at night, and pressure sores; Dynamic indicators are indicators related to daily activities, including: daily activity time, number of choking and coughing, falling out of bed, falls, medication monitoring, environmental safety and number of bowel movements.

6. A method for early warning of health risk events at home for the elderly according to claim 1, characterized in that: According to the type and severity of the incident, the incidents are classified into different levels, including: Changes in indicators and events that require vigilance or lifestyle intervention are included in the first-level home safety events, changes in indicators and events that require health guidance and community medical intervention are included in the second-level home safety events, and those that require emergency medical intervention or hospitalization are included in the third-level home safety events.

7. A method for grading and warning of health risk events at home for the elderly according to claim 1, characterized in that: When the health event reaches the triggering condition of the corresponding warning level according to the identified monitoring information, a pop-up window warning is issued to the corresponding terminal, including: When a level one home safety incident is triggered, a pop-up warning will be given to elderly users, children or guardians in the same hospital, and they will perform self-management corrections; when a level two home safety incident is triggered, a pop-up warning will be given to family doctors and communities, who will visit them and provide health guidance; when a level three home safety incident is triggered, a pop-up warning will be given to medical institutions and project administrative departments, and a comprehensive assessment will be made as to whether emergency medical intervention is needed.

8. A method for early warning of health risk events at home for the elderly according to claim 7, characterized in that: When a high-level security event is triggered, a low-level security event will be automatically triggered synchronously.

9. A system for grading and warning of health risk events at home for the elderly, used in a method for grading and warning of health risk events at home for the elderly as claimed in any one of claims 1 to 8, characterized in that: The system comprises: Smart testing equipment to obtain health data of people living at home; Intelligent early warning module, which is used to identify health risk events through AI intelligent analysis, determine whether to trigger corresponding home safety events based on event type and frequency, and pop up warning windows on terminals of different levels according to classification requirements when the triggering criteria are met; The cloud server is connected to the intelligent detection device for determining whether a health and safety incident has occurred based on the health data, determining the incident level based on the incident type, and providing graded warnings based on the incident level.

10. A system for grading elderly home health risk events according to claim 9, characterized in that: The system further comprises: A mobile terminal, connected to the cloud server for receiving and displaying health warning information from the cloud server; An emergency rescue device, connected to the cloud server for activation upon receipt of an emergency rescue instruction from the cloud server; An appointment booking system, which is in communication with the cloud server and is used to start upon receiving an appointment booking instruction from the cloud server; The remote health guidance system is connected to the cloud server for communication and is used to start when receiving health guidance information from the cloud server.

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