Old-age care institution resource optimization deployment system

Abstract

The invention discloses a pension institution resource optimization deployment system comprising a personnel information management module which collects and updates personnel information in a pension institution according to a preset detection period, a personnel classification module which classifies old people according to the personnel information, and a risk prediction module which predicts health trends of the old people and updates resource demands of the old people. A resource allocation strategy is dynamically optimized, the detection period is adjusted according to the health trend, the timeliness of the system for detecting the signs of the old people is improved, a resource allocation module allocates personal daily resources and shared reserve resources for each old people and each type of old people, it can be guaranteed that the daily resources of each old people are sufficient, and meanwhile, the system is more intelligent. And the shared reserve resources can be used by multiple old people, so that the vacancy rate of the resources in a pension institution is reduced, and the effect of timely processing sudden diseases of the old people can be achieved.

Description

Technical Field

[0001] The present invention relates to the technical field, and in particular to a resource optimization deployment system for a nursing home. Background Art

[0002] In recent years, with the intensification of the global aging trend, the demand for elderly care services has increased. As the main provider of elderly care services, elderly care institutions face many challenges such as uneven resource allocation, uneven service quality and high operating costs. In elderly care institutions, resources need to be used efficiently. Therefore, resource allocation of elderly care institutions is particularly important.

[0003] In the existing technology, nursing homes will allocate appropriate amounts of resources based on the needs of each elderly person to avoid wasting resources. However, as the elderly age, their physical health will change, and the demand for resources will also change. If the resource allocation strategy cannot be optimized in time, it is easy to have insufficient resources or idle resources, leading to an imbalance between resource demand and supply. Summary of the invention

[0004] The technical problem solved by the present invention is that the existing technology cannot optimize the resource allocation strategy in time, and it is easy to have insufficient resources or idle resources, resulting in the problem of imbalance between resource demand and supply.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a system for optimizing the deployment of resources in a nursing home, comprising: a personnel information management module, a personnel classification module, a risk prediction module, a resource allocation module and a resource information management module;

[0006] The personnel information management module is used to collect and update the personnel information in the elderly care institution according to the preset detection cycle, and the personnel information includes the basic information, physical sign information and preference information of the elderly;

[0007] The personnel classification module classifies the elderly according to the personnel information to obtain a personnel classification result;

[0008] The risk prediction module is used to analyze the data changes of the vital sign information, predict the health trend of the elderly, determine the changes in the elderly's demand for resources based on the health trend, obtain updated resource requirements, and adjust the detection cycle based on the health trend;

[0009] The resource allocation module obtains the resource demand of each elderly person, allocates daily resources to each elderly person, and then allocates shared resources to each category of elderly people according to the personnel classification results;

[0010] The resource information management module is used to record the total amount of resources and resource allocation logs in the elderly care institution, and to issue timely warnings of insufficient resource surplus.

[0011] As a preferred solution of the resource optimization deployment system for elderly care institutions described in the present invention, the personnel information management module includes a basic information management unit, a vital sign information management unit and a preference information management unit;

[0012] The basic information management unit is used to store the elderly person's name, gender, serial number, ID number, current illness and other medical history;

[0013] The physical sign information management unit is used to detect physical sign data of the elderly according to a preset period, wherein the physical sign data includes heart rate, blood pressure, blood sugar, blood lipids, urine, body temperature, respiratory rate and daily sleep volume, and the physical sign data obtained from the most recent detection is used as the current physical sign data of the elderly;

[0014] The preference information management unit is used to store preference information of the elderly in the nursing home, and the preference information includes the elderly's eating habits, social habits and work and rest habits.

[0015] As a preferred solution of the resource optimization deployment system for elderly care institutions described in the present invention, the personnel classification module classifies the elderly according to the personnel information to obtain the personnel classification result, which specifically includes:

[0016] Obtaining the current physical sign data of the elderly, inputting the current physical sign data into a health status assessment model, and predicting potential acute disease risks and acute disease probabilities, wherein the acute diseases include acute heart diseases, acute brain diseases, acute blood diseases, acute lung diseases, and acute gastrointestinal diseases;

[0017] Elderly people with the same acute disease risk are classified into categories, including cardiac acute disease, cerebral acute disease, blood acute disease, pulmonary acute disease, gastrointestinal acute disease and no risk, and the number of elderly people in each category is counted.

[0018] As a preferred solution of the resource optimization deployment system for nursing homes described in the present invention, the working logic of the risk prediction module is:

[0019] The vital sign data obtained from the most recent detection is used as the current vital sign data of the elderly, and the vital sign data obtained from the detection before the current vital sign data is used as the comparative vital sign data of the elderly, and the heart rate, blood pressure, blood sugar, blood lipids, urine, body temperature, respiratory rate and daily sleep amount in the current vital sign data and each item in the comparative vital sign data are respectively calculated to obtain the heart rate change amount, blood pressure change amount, blood sugar change amount, blood lipid change amount, urine change amount, body temperature change amount, respiratory rate change amount and daily sleep amount change amount, and the heart rate change amount, blood pressure change amount, blood sugar change amount, blood lipid change amount, urine change amount, body temperature change amount, respiratory rate change amount and daily sleep amount change amount are respectively compared with preset change amount thresholds;

[0020] The calculation formula of the heart rate variation is:

[0021]

[0022] in, Indicates the heart rate variation. represents the heart rate in the pre-vital data, Indicates the heart rate in the comparison vital signs data;

[0023] The blood pressure change, blood sugar change, blood lipid change, urine change, body temperature change, respiratory rate change and daily sleep amount change are calculated according to the same calculation logic;

[0024] Comprehensively calculate the heart rate change, blood pressure change, blood sugar change, blood lipid change, urine change, body temperature change, respiratory rate change and daily sleep amount change to obtain a comprehensive change, and compare the comprehensive change with a comprehensive change threshold;

[0025] Heart rate, blood pressure, blood sugar, blood lipids, urine, body temperature, respiratory rate and daily sleep volume were recorded as the first ~ variables, the calculation formula of the comprehensive change is:

[0026]

[0027] in, represents the comprehensive change, Indicates the first variables, Indicates the first variables, represents the weight of the i-th variable;

[0028] When any one of the heart rate change, blood pressure change, blood sugar change, blood lipid change, urine change, body temperature change, respiratory rate change and daily sleep amount change is higher than the preset change threshold or the comprehensive change exceeds the comprehensive change threshold, it is considered that there is a risk and a risk instruction is sent to the person in charge, who judges the changes in the elderly's demand for resources based on the current vital sign data and calculates the updated resource demand.

[0029] As a preferred solution of the resource optimization deployment system for nursing homes described in the present invention, the risk prediction module is also used to adjust the detection cycle according to the health trend, specifically including:

[0030] When the health trend of the elderly shows a negative growth, it means that the physical fitness of the elderly is deteriorating. At this time, the detection cycle should be reduced and the detection frequency should be increased;

[0031] When the health trend of the elderly shows a positive growth, it means that the elderly's physical fitness has improved. At this time, the detection cycle should be increased and the detection frequency should be reduced.

[0032] As a preferred solution of the resource optimization deployment system for a nursing home described in the present invention, the resource allocation module is used to receive updated resource requirements and allocate daily resources to each elderly person in combination with the preference information of each elderly person, wherein the daily resources include daily necessities resources, catering resources, nursing resources and daily medical resources;

[0033] The resource allocation module is also used to receive personnel classification results, and reserve shared resources according to the number of elderly people in each category and the probability of acute illness of each elderly person. The shared resources include emergency drug resources, emergency nursing resources and emergency equipment resources.

[0034] As a preferred solution of the resource optimization deployment system for nursing homes described in the present invention, the reserve amount of the shared resources is calculated by the number of elderly people in each category and the probability of acute illness of each elderly person, and the calculation formula is:

[0035]

[0036] in, Indicates the required reserve of shared resources, represents the probability of the i-th elderly suffering from a sudden illness, n represents the total number of elderly people in this category, and Y represents the base of the preset shared resource reserve.

[0037] As a preferred solution of the resource optimization deployment system for a nursing home described in the present invention, the resource information management module is used to record the total amount of resources and resource allocation log in the nursing home. The resource allocation log records the resources allocated to the elderly each time, and the total amount of resources is subtracted from the resources allocated to the elderly each time to obtain the resource surplus. When the resource surplus is less than the minimum standard, an insufficient resource surplus warning is issued to the staff, and the staff replenishes the resources in time.

[0038] The present invention also provides an electronic device, comprising a storage device, a processor, and a computer program stored in the storage device and executable on the processor, wherein the processor executes a nursing home resource optimization deployment system when executing the computer program.

[0039] The present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, a system for optimizing the deployment of resources for a nursing home is executed.

[0040] Beneficial effects of the present invention:

[0041] 1. Categorize the elderly in nursing homes according to their potential risk of acute illness, store shared resources for the elderly in the same category, reduce idle resources as much as possible, and avoid insufficient resources when the elderly suddenly get acute illnesses, thereby improving resource utilization and ensuring the health and safety of the elderly;

[0042] 2. Dynamically update the elderly’s demand for resources based on changes in their vital signs data to improve the adaptability of elderly care services;

[0043] 3. Adjust the health check cycle according to the health changes of the elderly, conduct health checks on the elderly more accurately and timely, and at the same time reduce unnecessary tests, thus reducing unnecessary troubles for the elderly and staff in nursing homes. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 A system block diagram of a system for optimizing resource deployment in a nursing home provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0046] Reference Figure 1 , as an embodiment of the present invention, provides a system for optimizing the deployment of resources in a nursing home, including: a personnel information management module, a personnel classification module, a risk prediction module, a resource allocation module and a resource information management module;

[0047] The personnel information management module is used to collect and update the personnel information in the elderly care institution according to the preset detection cycle, and the personnel information includes the basic information, physical sign information and preference information of the elderly;

[0048] The personnel classification module classifies the elderly according to the personnel information to obtain a personnel classification result;

[0049] The risk prediction module is used to analyze the data changes of the vital sign information, predict the health trend of the elderly, determine the changes in the elderly's demand for resources based on the health trend, obtain updated resource requirements, and adjust the detection cycle based on the health trend;

[0050] The resource allocation module obtains the resource demand of each elderly person, allocates daily resources to each elderly person, and then allocates shared resources to each category of elderly people according to the personnel classification results;

[0051] The resource information management module is used to record the total amount of resources and resource allocation logs in the elderly care institution, and to issue timely warnings of insufficient resource surplus.

[0052] In this embodiment, the personnel information management module collects and updates the personnel information in the nursing home according to the preset detection cycle, the personnel classification module classifies the elderly according to the personnel information, the risk prediction module predicts the health trends of the elderly, updates the resource needs of the elderly, dynamically optimizes the resource allocation strategy, and adjusts the detection cycle according to the health trend to improve the timeliness of the system detection. The resource allocation module allocates personal daily resources and shared reserve resources to each elderly person and each type of elderly person, which can ensure that each elderly person has sufficient daily resources. At the same time, shared reserve resources can be used by multiple elderly people, reducing the idle rate of resources in nursing homes, and can play a role in timely handling of sudden acute illnesses of the elderly.

[0053] The personnel information management module includes a basic information management unit, a vital sign information management unit and a preference information management unit;

[0054] The basic information management unit is used to store the elderly person's name, gender, serial number, ID number, current illness and other medical history;

[0055] The physical sign information management unit is used to detect physical sign data of the elderly according to a preset period, wherein the physical sign data includes heart rate, blood pressure, blood sugar, blood lipids, urine, body temperature, respiratory rate and daily sleep volume, and the physical sign data obtained from the most recent detection is used as the current physical sign data of the elderly;

[0056] The preference information management unit is used to store preference information of the elderly in the nursing home, and the preference information includes the elderly's eating habits, social habits and work and rest habits.

[0057] The personnel classification module classifies the elderly according to the personnel information to obtain a personnel classification result, which specifically includes:

[0058] Obtaining the current physical sign data of the elderly, inputting the current physical sign data into a health status assessment model, and predicting potential acute disease risks and acute disease probabilities, wherein the acute diseases include acute heart diseases, acute brain diseases, acute blood diseases, acute lung diseases, and acute gastrointestinal diseases;

[0059] Elderly people with the same acute disease risk are classified into categories, including cardiac acute disease, cerebral acute disease, blood acute disease, pulmonary acute disease, gastrointestinal acute disease and no risk, and the number of elderly people in each category is counted.

[0060] Specifically, if an elderly person's blood pressure is higher than the normal range and has arrhythmia, then the elderly person is at risk of sudden heart attack and needs to be classified as having an acute heart disease. The vital signs of all the elderly in the nursing home are analyzed, and the elderly with the same acute disease risk are classified.

[0061] The working logic of the risk prediction module is:

[0062] The vital sign data obtained from the most recent detection is used as the current vital sign data of the elderly, and the vital sign data obtained from the detection before the current vital sign data is used as the comparative vital sign data of the elderly, and the heart rate, blood pressure, blood sugar, blood lipids, urine, body temperature, respiratory rate and daily sleep amount in the current vital sign data and each item in the comparative vital sign data are respectively calculated to obtain the heart rate change amount, blood pressure change amount, blood sugar change amount, blood lipid change amount, urine change amount, body temperature change amount, respiratory rate change amount and daily sleep amount change amount, and the heart rate change amount, blood pressure change amount, blood sugar change amount, blood lipid change amount, urine change amount, body temperature change amount, respiratory rate change amount and daily sleep amount change amount are respectively compared with preset change amount thresholds;

[0063] The calculation formula of the heart rate variation is:

[0064]

[0065] in, Indicates the heart rate variation. represents the heart rate in the pre-vital data, Indicates the heart rate in the comparison vital signs data;

[0066] The blood pressure change, blood sugar change, blood lipid change, urine change, body temperature change, respiratory rate change and daily sleep amount change are calculated according to the same calculation logic;

[0067] Comprehensively calculate the heart rate change, blood pressure change, blood sugar change, blood lipid change, urine change, body temperature change, respiratory rate change and daily sleep amount change to obtain a comprehensive change, and compare the comprehensive change with a comprehensive change threshold;

[0068] Heart rate, blood pressure, blood sugar, blood lipids, urine, body temperature, respiratory rate and daily sleep volume were recorded as the first ~ variables, the calculation formula of the comprehensive change is:

[0069]

[0070] in, represents the comprehensive change, Indicates the first variables, Indicates the first variables, represents the weight of the i-th variable;

[0071] When any one of the heart rate change, blood pressure change, blood sugar change, blood lipid change, urine change, body temperature change, respiratory rate change and daily sleep amount change is higher than the preset change threshold or the comprehensive change exceeds the comprehensive change threshold, it is considered that there is a risk and a risk instruction is sent to the person in charge, who judges the changes in the elderly's demand for resources based on the current vital sign data and calculates the updated resource demand.

[0072] Specifically, assuming that the changes in heart rate, blood pressure, blood sugar, blood lipids, urine, body temperature, respiratory rate, and daily sleep are 2, 1, 2, 3, 1, 3, 2, and 1.5 units, respectively, if the change thresholds are all 2, then it means that the blood lipid change exceeds the blood lipid change threshold, and a resource allocation plan needs to be re-formulated for the elderly. Alternatively, if the change thresholds are all 3, the change in any one item is within the threshold range, but after a comprehensive analysis of these vital sign data, the comprehensive change obtained is 15.5 units, which exceeds the comprehensive change threshold of 15, and a resource allocation plan still needs to be formulated for the elderly. The present invention adopts the method of single item analysis and comprehensive analysis, which improves the comprehensiveness of the resource optimization deployment system and is conducive to better serving the elderly.

[0073] The risk prediction module is also used to adjust the detection period according to the health trend, specifically including:

[0074] When the health trend of the elderly shows a negative growth, it means that the physical fitness of the elderly is deteriorating. At this time, the detection cycle should be reduced and the detection frequency should be increased;

[0075] When the health trend of the elderly shows a positive growth, it means that the elderly's physical fitness has improved. At this time, the detection cycle should be increased and the detection frequency should be reduced.

[0076] Specifically, when the health trend of the elderly shows a negative growth, it proves that the physical fitness of the elderly has deteriorated. At this time, special care should be taken for the elderly, and the frequency of testing of the elderly's vital signs data should be increased to achieve timely prevention; when the health trend of the elderly shows a positive growth, there is no need to conduct physical sign tests on the elderly frequently, saving manpower and material resources and reducing unnecessary trouble.

[0077] The resource allocation module is used to receive the updated resource requirements and allocate daily resources to each elderly person in combination with the preference information of each elderly person. The daily resources include daily necessities resources, catering resources, nursing resources and daily medical resources.

[0078] The resource allocation module is also used to receive personnel classification results, and reserve shared resources according to the number of elderly people in each category and the probability of acute illness of each elderly person. The shared resources include emergency drug resources, emergency nursing resources and emergency equipment resources.

[0079] The reserve of the shared resources is calculated by the number of elderly people in each category and the probability of acute illness of each elderly person, and the calculation formula is:

[0080]

[0081] in, Indicates the required reserve of shared resources, represents the probability of the i-th elderly suffering from a sudden illness, n represents the total number of elderly people in this category, and Y represents the base of the preset shared resource reserve.

[0082] Specifically, shared resources are temporarily idle resources. If too many are reserved, it will cause waste of resources. The present invention reserves shared resources according to the number of elderly people and the probability of sudden acute illness of the elderly, thereby realizing the function of effectively responding to emergencies without causing excessive waste of resources.

[0083] The resource information management module is used to record the total amount of resources and resource allocation logs in the nursing home. The resource allocation log records the resources allocated to the elderly each time, and the total amount of resources is subtracted from the resources allocated to the elderly each time to obtain the resource surplus. When the resource surplus is less than the minimum standard, an insufficient resource surplus warning is issued to the staff, and the staff replenishes the resources in time.

[0084] The present invention classifies the elderly in nursing homes according to their potential acute disease risks, stores shared resources for the elderly in the same category, minimizes idle resources, and reduces the risk of insufficient resources when the elderly suddenly become ill, thereby improving resource utilization and ensuring the health and safety of the elderly; dynamically updates the elderly's demand for resources based on changes in their vital sign data, thereby improving the adaptability of nursing services; adjusts the health detection cycle based on changes in the elderly's health, performs health detection on the elderly more accurately and timely, and reduces unnecessary detection, thereby reducing unnecessary trouble for the elderly and staff in nursing homes.

[0085] It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. Among them, the storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0086] 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 preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A resource optimization deployment system for nursing homes, characterized in that: include: Personnel information management module, personnel classification module, risk prediction module, resource allocation module and resource information management module; The personnel information management module is used to collect and update the personnel information in the elderly care institution according to the preset detection cycle, and the personnel information includes the basic information, physical sign information and preference information of the elderly; The personnel classification module classifies the elderly according to the personnel information to obtain a personnel classification result; The risk prediction module is used to analyze the data changes of the vital sign information, predict the health trend of the elderly, determine the changes in the elderly's demand for resources based on the health trend, obtain updated resource requirements, and adjust the detection cycle based on the health trend; The resource allocation module obtains the resource demand of each elderly person, allocates daily resources to each elderly person, and then allocates shared resources to each category of elderly people according to the personnel classification results; The resource information management module is used to record the total amount of resources and resource allocation logs in the elderly care institution, and to issue timely warnings of insufficient resource surplus.

2. The resource optimization deployment system for nursing homes according to claim 1, characterized in that: The personnel information management module includes a basic information management unit, a vital sign information management unit and a preference information management unit; The basic information management unit is used to store the elderly person's name, gender, serial number, ID number, current illness and other medical history; The physical sign information management unit is used to detect physical sign data of the elderly according to a preset period, wherein the physical sign data includes heart rate, blood pressure, blood sugar, blood lipids, urine, body temperature, respiratory rate and daily sleep volume, and the physical sign data obtained from the most recent detection is used as the current physical sign data of the elderly; The preference information management unit is used to store preference information of the elderly in the nursing home, and the preference information includes the elderly's eating habits, social habits and work and rest habits.

3. The resource optimization deployment system for nursing homes according to claim 2, characterized in that: The personnel classification module classifies the elderly according to the personnel information to obtain a personnel classification result, which specifically includes: Obtaining the current physical sign data of the elderly, inputting the current physical sign data into a health status assessment model, and predicting potential acute disease risks and acute disease probabilities, wherein the acute diseases include acute heart diseases, acute brain diseases, acute blood diseases, acute lung diseases, and acute gastrointestinal diseases; Elderly people with the same acute disease risk are classified into categories, including cardiac acute disease, cerebral acute disease, blood acute disease, pulmonary acute disease, gastrointestinal acute disease and no risk, and the number of elderly people in each category is counted.

4. The resource optimization deployment system for nursing homes according to claim 1, characterized in that: The working logic of the risk prediction module is: The vital sign data obtained from the most recent detection is used as the current vital sign data of the elderly, and the vital sign data obtained from the detection before the current vital sign data is used as the comparative vital sign data of the elderly, and the heart rate, blood pressure, blood sugar, blood lipids, urine, body temperature, respiratory rate and daily sleep amount in the current vital sign data and each item in the comparative vital sign data are respectively calculated to obtain the heart rate change amount, blood pressure change amount, blood sugar change amount, blood lipid change amount, urine change amount, body temperature change amount, respiratory rate change amount and daily sleep amount change amount, and the heart rate change amount, blood pressure change amount, blood sugar change amount, blood lipid change amount, urine change amount, body temperature change amount, respiratory rate change amount and daily sleep amount change amount are respectively compared with preset change amount thresholds; The calculation formula of the heart rate change is: ； in, Indicates the heart rate variation. represents the heart rate in the pre-vital data, Indicates the heart rate in the comparison vital signs data; The blood pressure change, blood sugar change, blood lipid change, urine change, body temperature change, respiratory rate change and daily sleep amount change are calculated according to the same calculation logic; Comprehensively calculate the heart rate change, blood pressure change, blood sugar change, blood lipid change, urine change, body temperature change, respiratory rate change and daily sleep amount change to obtain a comprehensive change, and compare the comprehensive change with a comprehensive change threshold; Heart rate, blood pressure, blood sugar, blood lipids, urine, body temperature, respiratory rate and daily sleep volume were recorded as the first ~ variables, the calculation formula of the comprehensive change is: ; in, represents the comprehensive change, Indicates the first variables, Indicates the first variables, Represents the weight of the i-th variable; When any one of the heart rate change, blood pressure change, blood sugar change, blood lipid change, urine change, body temperature change, respiratory rate change and daily sleep amount change is higher than the preset change threshold or the comprehensive change exceeds the comprehensive change threshold, it is considered that there is a risk and a risk instruction is sent to the person in charge, who judges the changes in the elderly's demand for resources based on the current vital sign data and calculates the updated resource demand.

5. The resource optimization deployment system for nursing homes according to claim 1, characterized in that: The risk prediction module is also used to adjust the detection period according to the health trend, specifically including: When the health trend of the elderly shows a negative growth, it means that the physical fitness of the elderly is deteriorating. At this time, the detection cycle should be reduced and the detection frequency should be increased; When the health trend of the elderly shows a positive growth, it means that the elderly's physical fitness has improved. At this time, the detection cycle should be increased and the detection frequency should be reduced.

6. The resource optimization deployment system for nursing homes according to claim 1, characterized in that: The resource allocation module is used to receive the updated resource requirements and allocate daily resources to each elderly person in combination with the preference information of each elderly person. The daily resources include daily necessities resources, catering resources, nursing resources and daily medical resources. The resource allocation module is also used to receive personnel classification results, and reserve shared resources according to the number of elderly people in each category and the probability of acute illness of each elderly person. The shared resources include emergency drug resources, emergency nursing resources and emergency equipment resources.

7. The resource optimization deployment system for nursing homes according to claim 1, characterized in that: The reserve of the shared resources is calculated by the number of elderly people in each category and the probability of acute illness of each elderly person, and the calculation formula is: ； in, Indicates the required reserve of shared resources, represents the probability of the i-th elderly suffering from a sudden illness, n represents the total number of elderly people in this category, and Y represents the base of the preset shared resource reserve.

8. The resource optimization deployment system for nursing homes according to claim 1, characterized in that: The resource information management module is used to record the total amount of resources and resource allocation logs in the nursing home. The resource allocation log records the resources allocated to the elderly each time, and the total amount of resources is subtracted from the resources allocated to the elderly each time to obtain the resource surplus. When the resource surplus is less than the minimum standard, an insufficient resource surplus warning is issued to the staff, and the staff replenishes the resources in time.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, it executes the nursing home resource optimization deployment system described in any one of claims 1-8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the system for optimizing and deploying resources for a nursing home according to any one of claims 1 to 8 is executed.

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