A big data push method and system for smart health care

Abstract

The present invention relates to the field of data processing technology, and discloses a big data push method and system applied to smart health care, by obtaining the health parameter monitoring project requirements and health parameter monitoring frequency requirements of each health care monitoring personnel, according to the care plan information of the caregiver, with the maximum number of health parameter care projects and health parameter monitoring frequency requirements as constraints, with the monitoring load balance of several health care caregivers as the optimization goal, the health parameter care matching strategy is optimized and solved, and the communication link established by each monitoring terminal with the corresponding health care care terminal in each monitoring cycle is used to execute health parameter push, realize high-precision and high-accuracy health parameter monitoring, improve the rationality and scientificity of the allocation of vital sign parameter monitoring tasks, and improve the overall work efficiency and quality of caregivers. At the same time, by adjusting the health parameter care matching strategy in real time, the monitoring risk brought about by emergency situations can be avoided.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a big data push method and system applied to smart health care. Background Art

[0002] Smart health care is a new model that integrates advanced technologies such as the Internet of Things, big data, and artificial intelligence, and provides intelligent and personalized health care services to the elderly, chronic disease patients and other people who need long-term health care. Usually, smart health care is applied to health care centers with centralized services and management, health care monitoring personnel in nursing homes, or elderly people living alone with non-centralized services and management. However, they both have one thing in common, that is, they need a dedicated person to monitor the physical condition of the health care population in real time (such as physical sign parameters) to prevent the health care population from not receiving timely assistance in an emergency.

[0003] However, the existing collection and monitoring of vital sign parameters for health care populations still have the following limitations: (1) Health care workers with different health conditions have different monitoring needs (such as the type of monitoring items, the number of monitoring items, and the monitoring frequency). In scenarios where the service ratio of health care workers to caregivers is high, each caregiver needs to be responsible for the monitoring of vital sign parameters of multiple health care workers. If the distribution of vital sign parameter monitoring tasks is unreasonable, it will seriously affect the accuracy and precision of the health care workers' vital sign parameter monitoring; (2) When health care workers carry out corresponding activities, their vital sign parameters will change to a certain extent. These changes will lead to certain adjustments in the monitoring needs of health care workers (for example, the monitoring frequency needs to be increased when carrying out corresponding exercises). However, each health care worker usually has his or her own living habits, which leads to overall inconsistency in the monitoring of vital sign parameters of multiple health care workers. (3) The irregularity of monitoring demand (for example, the monitoring load of health care monitoring personnel in health care centers and nursing homes will have peaks due to their relatively regular and unified living habits, and the monitoring load of elderly people living alone will be dispersed due to their uncertain living habits). Such changes in monitoring demand have brought difficulties to the allocation of vital sign parameter monitoring tasks. If the traditional monitoring model of fixed health care personnel and caregivers is adopted, the caregivers will have problems such as high monitoring load in some periods and low monitoring load in other periods, which reduces the overall work efficiency and quality of the caregivers; (3) Caregivers cannot always stay at the monitoring station to perform vital sign parameter monitoring of the assigned health care personnel (for example, they are called to perform corresponding care tasks in health care centers and nursing homes, or temporarily leave the station in an emergency). In this case, the effectiveness of vital sign parameter monitoring is reduced and the monitoring risk is increased.

[0004] Therefore, how to improve the rationality and scientificity of the allocation of vital sign parameter monitoring tasks between multiple health care workers and caregivers with different health conditions and different living habits, improve the overall work efficiency and quality of caregivers, and reduce the monitoring risks brought about by emergency situations is a technical problem that needs to be solved urgently. Summary of the invention

[0005] The present invention provides a big data push method and system applied to smart health care, aiming to solve at least one of the above-mentioned technical problems.

[0006] To achieve the above object, the present invention provides a big data push method applied to smart health care, comprising the following steps:

[0007] Obtaining a health parameter monitoring task for a target health care area; wherein the health parameter monitoring task includes identification information of a number of health care monitoring personnel;

[0008] Based on the identification information, determine the health parameter monitoring demand information of each health care monitoring personnel, and extract the health parameter monitoring item requirements and health parameter monitoring frequency requirements of each health care monitoring personnel in each monitoring cycle within the target monitoring period recorded in the health parameter monitoring demand information;

[0009] Calling the care plan information of several health care terminals, generating a health parameter care matching strategy including the health parameter monitoring subtasks of each health care monitoring personnel in each monitoring cycle within the target monitoring period and the health parameter care matching strategy of the corresponding health care terminal according to the health parameter care execution period and the maximum number of health parameter care items of each health care monitoring personnel in the care plan information, taking into account the health parameter monitoring item requirements and the health parameter monitoring frequency requirements;

[0010] According to the health parameter care matching strategy, a communication link is established between the monitoring terminal corresponding to each health care monitoring personnel and the corresponding health care care terminal during each monitoring cycle within the target monitoring period, and health parameter push is executed from each monitoring terminal to the corresponding health care care terminal;

[0011] Before each monitoring cycle within the target monitoring period, the actual care execution actions of the health care staff corresponding to each health care terminal are monitored to determine whether the actual care execution actions and the care plan information meet the abnormal conditions. If so, the care plan information is updated and the health parameter care matching strategy is regenerated.

[0012] Optionally, the health parameter monitoring task steps for the target health care area are obtained, including:

[0013] Obtain health care monitoring applications uploaded by several health care monitoring request terminals, and extract identification information and health care location information of target health care monitoring personnel recorded in each health care monitoring application;

[0014] Calling an electronic map of the target health care area, based on the health care location information of each target health care monitoring personnel and the target health care area standard range of the electronic map, screening the target health care monitoring personnel whose health care location information falls within the target health care area standard range;

[0015] The identification information of each target health care monitoring personnel after screening is summarized to construct the health parameter monitoring task of the target health care area.

[0016] Optionally, based on the identification information, determining the health parameter monitoring requirement information of each health care monitoring personnel, extracting the health parameter monitoring item requirements and health parameter monitoring frequency requirements of each health care monitoring personnel in each monitoring cycle within the target monitoring period recorded in the health parameter monitoring requirement information, specifically includes:

[0017] Based on the identification information, matching the exercise intensity characteristics of each health care monitoring person in each monitoring period within the target monitoring period in a pre-generated exercise intensity characteristic data list;

[0018] Access the medical health database, extract the health diagnosis results of each health care monitoring person corresponding to the identification information, and match the health parameter monitoring item requirements and health parameter monitoring frequency requirements of the exercise intensity characteristics of each monitoring cycle in the target monitoring period for each health care monitoring person in a comparison table of the standard physical sign parameter set corresponding to the disease type and the health parameter monitoring requirements under different exercise intensity characteristics.

[0019] Among them, the exercise intensity feature database of the health care monitoring personnel is configured according to the activity content of the health care monitoring personnel in the target monitoring period submitted in advance by the health care monitoring request terminal.

[0020] Optionally, before the step of matching the exercise intensity feature of each health care monitoring person in each monitoring period within the target monitoring period in a pre-generated exercise intensity feature data list based on the identification information, the method further includes:

[0021] Obtain the activity content of the health care monitoring personnel arranged by time in the target monitoring period, which is pre-submitted by each health care monitoring request terminal, and generate the activity content of each health care monitoring personnel in each monitoring period in the target monitoring period according to the monitoring period occupied by each activity content in the target monitoring period;

[0022] According to the pre-defined exercise intensity level for each activity content, the activity content of each health care monitoring personnel in each monitoring cycle during the target monitoring period is replaced with the corresponding exercise intensity level;

[0023] The exercise intensity level is used as an exercise intensity feature to construct an exercise intensity feature data list containing the exercise intensity features of each health care monitoring person in each monitoring period within the target monitoring period.

[0024] Optionally, the care plan information of several health care terminals is called, and according to the health parameter care execution period and the maximum number of health parameter care items of each health care caregiver in the care plan information, the health parameter monitoring item requirements and the health parameter monitoring frequency requirements are considered to generate a health parameter care matching strategy step including the health parameter monitoring subtask of each health care monitoring personnel in each monitoring cycle within the target monitoring period and the corresponding health care care terminal, specifically including:

[0025] Calling the care plan information of several health care terminals, extracting the health parameter care execution period and the maximum number of health parameter care items of each health care worker in the care plan information;

[0026] Considering the health parameter monitoring item requirements and the health parameter monitoring frequency requirements of each health care monitoring staff in each monitoring cycle within the target monitoring period, with the maximum number of health parameter care items and the health parameter monitoring frequency requirements as constraints, and with the monitoring load balancing of several health care care staff as the optimization goal, the health parameter care matching strategy is optimized.

[0027] Optionally, the steps of optimizing and solving the health parameter care matching strategy are as follows: considering the health parameter monitoring item requirements and the health parameter monitoring frequency requirements of each health care monitoring personnel in each monitoring cycle within the target monitoring period, taking the maximum number of health parameter care items and the health parameter monitoring frequency requirements as constraints, taking the monitoring load balance of several health care care personnel as the optimization goal, and specifically including:

[0028] Consider the health parameter monitoring item requirements and health parameter monitoring frequency requirements of each health care monitoring personnel in each monitoring cycle within the target monitoring period;

[0029] The first constraint condition is that the sum of the number of health parameter monitoring items of the health monitoring personnel assigned to each health care caregiver in each monitoring cycle within the target monitoring period is less than the maximum number of health parameter care items corresponding to the health care caregiver; the second constraint condition is that the time difference between the monitoring cycles corresponding to the two adjacent health care caregivers assigned to each health care monitoring personnel is less than the standard time difference corresponding to the health parameter monitoring frequency demand of the health care monitoring personnel; the optimization goal is to minimize the cumulative sum of the variances of the sum of the number of health parameter monitoring items of the health monitoring personnel assigned to several health care caregivers in each monitoring cycle within the target monitoring period, and optimize the health care caregivers assigned to each health care monitoring personnel in each monitoring cycle within the target monitoring period;

[0030] Based on the health care caregivers assigned to each health care monitoring personnel in each monitoring cycle within the target monitoring period, a health parameter care matching strategy is generated, including the health parameter monitoring subtasks of each health care monitoring personnel in each monitoring cycle within the target monitoring period and the corresponding health care care terminals.

[0031] Optionally, according to the health parameter care matching strategy, a communication link is established between the monitoring terminal corresponding to each health care monitoring personnel and the corresponding health care care terminal in each monitoring cycle within the target monitoring period, and a health parameter push step is performed from each monitoring terminal to the corresponding health care care terminal, specifically including:

[0032] Extract the health parameter monitoring subtasks and corresponding health care terminals of each health care monitoring personnel in each monitoring cycle within the target monitoring period in the health parameter care matching strategy, and generate a communication link establishment plan between the monitoring terminal of each health care monitoring personnel and the corresponding health care terminal according to the monitoring cycle in which each health care monitoring personnel and each health care terminal have a matching relationship;

[0033] Based on the communication link establishment plan, a communication link between a monitoring terminal with a matching relationship and a corresponding health care terminal is established in each monitoring cycle within the target monitoring period, and the real-time vital sign parameters collected by the monitoring terminal during the monitoring cycle are pushed to the corresponding health care terminal using the communication link.

[0034] Optionally, before each monitoring cycle within the target monitoring period, the actual nursing execution action of the health care caregiver corresponding to each health care care terminal is monitored to determine whether the actual nursing execution action and the care plan information meet the abnormal condition. If so, the care plan information is updated and the health parameter care matching strategy steps are regenerated, specifically including:

[0035] Before each monitoring cycle within the target monitoring period, obtain the health care personnel on-duty signal collected by the care execution monitoring device set in each health care terminal in each collection cycle, and determine whether each health care personnel has an actual care execution action based on the health care personnel on-duty signal;

[0036] Determine whether the actual care execution action and the care plan information meet the abnormal condition. If so, update the care plan information and regenerate the health parameter care matching strategy.

[0037] Optionally, the abnormal condition is configured as the situation where at least one health care caregiver is in a state of not performing actual care actions for a continuous target number of collection cycles.

[0038] In addition, in order to achieve the above-mentioned purpose, the present invention also provides a big data push system applied to smart health care, including:

[0039] An acquisition module, used to acquire the health parameter monitoring task of the target health care area; wherein the health parameter monitoring task includes identification information of several health care monitoring personnel;

[0040] A determination module, configured to determine the health parameter monitoring demand information of each health care monitoring personnel based on the identification information, and extract the health parameter monitoring item demand and health parameter monitoring frequency demand of each health care monitoring personnel in each monitoring cycle within the target monitoring period recorded in the health parameter monitoring demand information;

[0041] A generation module is used to call the care plan information of several health care terminals, and generate a health parameter care matching strategy including the health parameter monitoring subtasks of each health care monitoring personnel in each monitoring cycle within the target monitoring period and the corresponding health care terminal according to the health parameter care execution period and the maximum number of health parameter care items of each health care care personnel in the care plan information, taking into account the health parameter monitoring item requirements and the health parameter monitoring frequency requirements;

[0042] An execution module is used to establish a communication link between the monitoring terminal corresponding to each health care monitoring personnel and the corresponding health care nursing terminal in each monitoring cycle within the target monitoring period according to the health parameter nursing matching strategy, and execute health parameter push from each monitoring terminal to the corresponding health care nursing terminal;

[0043] The update module is used to monitor the actual care execution actions of the health care personnel corresponding to each health care terminal before each monitoring cycle within the target monitoring period, and determine whether the actual care execution actions and the care plan information meet the abnormal conditions. If so, update the care plan information and regenerate the health parameter care matching strategy.

[0044] The beneficial effects of the present invention are as follows: a big data push method and system for smart health care are proposed, by obtaining the health parameter monitoring tasks of the target health care area, based on the identification information of each health care monitoring personnel, the health parameter monitoring project requirements and health parameter monitoring frequency requirements of each health care monitoring personnel are determined, according to the health parameter care execution period and the maximum number of health parameter care items of each health care care personnel in the care plan information, the health parameter monitoring project requirements and the health parameter monitoring frequency requirements are considered, and the maximum number of health parameter care items and the health parameter monitoring frequency requirements are used as constraints, and a plurality of health care care personnel are selected. The monitoring load balance of nursing staff is taken as the optimization goal, and the health parameter care matching strategy that best suits the health parameter monitoring needs of the current health care monitoring personnel and the care plan of the health care nursing staff is optimized. The health parameter care matching strategy is used to establish a communication link between each monitoring terminal and the corresponding health care nursing terminal during each monitoring cycle within the target monitoring period to execute health parameter push, achieve high-precision and high-accuracy health parameter monitoring, improve the rationality and scientificity of the allocation of physical sign parameter monitoring tasks between multiple health care personnel and caregivers with different health conditions and different living habits, and improve the overall work efficiency and quality of caregivers. At the same time, by real-time monitoring of the actual care execution actions of each health care nursing staff to update the care plan information, and adjusting the health parameter care matching strategy in real time, the environmental adaptability of health parameter push can be improved to avoid monitoring risks brought about by emergency situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a flow chart of a big data push method applied to smart health care according to an embodiment of the present invention;

[0046] Figure 2 It is a structural diagram of a big data push system applied to smart health care according to an embodiment of the present invention.

[0047] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0049] The embodiment of the present invention provides a big data push method for smart health care, referring to Figure 1 , Figure 1 The present invention is a flowchart of a method for pushing big data for smart health care according to an embodiment of the present invention.

[0050] In this embodiment, a big data push method applied to smart health care includes the following steps:

[0051] S1: Obtaining a health parameter monitoring task for a target health care area; wherein the health parameter monitoring task includes identification information of a number of health care monitoring personnel;

[0052] S2: Based on the identification information, determine the health parameter monitoring demand information of each health care monitoring personnel, and extract the health parameter monitoring item requirements and health parameter monitoring frequency requirements of each health care monitoring personnel in each monitoring cycle within the target monitoring period recorded in the health parameter monitoring demand information;

[0053] S3: calling the care plan information of several health care terminals, and generating a health parameter care matching strategy including the health parameter monitoring subtasks of each health care monitoring personnel in each monitoring cycle within the target monitoring period and the health parameter care matching strategy of the corresponding health care terminal according to the health parameter care execution period and the maximum number of health parameter care items of each health care monitoring personnel in the care plan information, and considering the health parameter monitoring item requirements and the health parameter monitoring frequency requirements;

[0054] S4: according to the health parameter care matching strategy, establish a communication link between the monitoring terminal corresponding to each health care monitoring personnel and the corresponding health care care terminal in each monitoring cycle within the target monitoring period, and execute health parameter push from each monitoring terminal to the corresponding health care care terminal;

[0055] S5: Before each monitoring cycle within the target monitoring period, monitor the actual care execution actions of the health care staff corresponding to each health care terminal, and determine whether the actual care execution actions and the care plan information meet the abnormal conditions. If so, update the care plan information and regenerate the health parameter care matching strategy.

[0056] It should be noted that the existing collection and monitoring of vital sign parameters for health care populations still have the following limitations: (1) Health care workers with different health conditions have different monitoring needs (such as the type of monitoring items, the number of monitoring items and the monitoring frequency). In scenarios where the service ratio of health care workers to caregivers is high, each caregiver needs to be responsible for the monitoring of the vital sign parameters of multiple health care workers. If the distribution of vital sign parameter monitoring tasks is unreasonable, it will seriously affect the accuracy and precision of the health care workers' vital sign parameter monitoring; (2) When health care workers carry out corresponding activities, the vital sign parameters will change to a certain extent. These changes will lead to certain adjustments in the monitoring needs of health care workers (for example, the monitoring frequency needs to be increased when carrying out corresponding exercises). However, each health care worker usually has his or her own living habits, which makes the monitoring of the vital sign parameters of multiple health care workers more complicated. There is an overall irregularity (for example, the monitoring load of health care monitoring personnel in health care centers and nursing homes will experience peaks due to their relatively regular and uniform living habits, and the monitoring load of elderly people living alone will be dispersed due to their uncertain living habits). Changes in monitoring needs have brought difficulties to the allocation of vital sign parameter monitoring tasks. If the traditional fixed health care personnel and caregivers monitoring model is adopted, the caregivers will face the problem of high monitoring load in some periods and low monitoring load in other periods, which reduces the overall work efficiency and quality of the caregivers; (3) Caregivers cannot always stay at the monitoring station to perform vital sign parameter monitoring of the assigned health care personnel (for example, they are called to perform corresponding care tasks in health care centers and nursing homes, or temporarily leave the station in an emergency). In this case, the effectiveness of vital sign parameter monitoring is reduced and the monitoring risk is increased.

[0057] In order to solve the above problems, this embodiment obtains the health parameter monitoring project requirements and health parameter monitoring frequency requirements of each health care monitoring personnel, and according to the care plan information of the caregiver, takes the maximum number of health parameter care projects and health parameter monitoring frequency requirements as constraints, takes the monitoring load balance of several health care caregivers as the optimization goal, optimizes and solves the health parameter care matching strategy, and uses the communication link established by each monitoring terminal with the corresponding health care care terminal in each monitoring cycle to execute health parameter push, realizes high-precision and high-accuracy health parameter monitoring, improves the rationality and scientificity of the allocation of vital sign parameter monitoring tasks, and improves the overall work efficiency and quality of caregivers. At the same time, by adjusting the health parameter care matching strategy in real time, the monitoring risks brought about by emergency situations can be avoided.

[0058] In a preferred embodiment, the steps of obtaining the health parameter monitoring task of the target health care area specifically include:

[0059] S11: Obtain health care monitoring applications uploaded by several health care monitoring request terminals, and extract identification information and health care location information of target health care monitoring personnel recorded in each health care monitoring application;

[0060] S12: calling an electronic map of the target health care area, and based on the health care location information of each target health care monitoring personnel and the target health care area standard range of the electronic map, screening the target health care monitoring personnel whose health care location information falls within the target health care area standard range;

[0061] S13: Summarize the identification information of each target health care monitoring personnel after screening, and construct the health parameter monitoring task of the target health care area.

[0062] In this embodiment, by extracting the identification information and health care location information of each health care monitoring personnel recorded in the health care monitoring applications uploaded by several health care monitoring request terminals, and using the electronic map of the target health care area, the health care monitoring applications whose health care locations fall within the target health care area are screened, and the identification information of each target health care monitoring personnel after the screening is constructed as a health parameter monitoring task.

[0063] In a preferred embodiment, based on the identification information, the health parameter monitoring demand information of each health care monitoring personnel is determined, and the health parameter monitoring item requirements and health parameter monitoring frequency requirements of each health care monitoring personnel in each monitoring cycle within the target monitoring period recorded in the health parameter monitoring demand information are extracted, specifically including:

[0064] S21: Based on the identification information, matching the exercise intensity characteristics of each health care monitoring person in each monitoring period within the target monitoring period in a pre-generated exercise intensity characteristic data list;

[0065] S22: Access the medical health database, extract the health diagnosis results of each health care monitoring personnel corresponding to the identification information, and match the health parameter monitoring item requirements and health parameter monitoring frequency requirements of each health care monitoring personnel in the target monitoring period with the exercise intensity characteristics of each monitoring cycle in the target monitoring period in a comparison table of the standard physical sign parameter set corresponding to the disease type and the health parameter monitoring requirements under different exercise intensity characteristics.

[0066] Among them, the exercise intensity feature database of the health care monitoring personnel is configured according to the activity content of the health care monitoring personnel in the target monitoring period submitted in advance by the health care monitoring request terminal.

[0067] Furthermore, before the step of matching the exercise intensity characteristics of each health care monitoring person in each monitoring period within the target monitoring period in the pre-generated exercise intensity characteristic data list based on the identification information, the method further includes:

[0068] S211: Obtain the activity content of the health care monitoring personnel arranged by time in the target monitoring period, which is pre-submitted by each health care monitoring request terminal, and generate the activity content of each health care monitoring personnel in each monitoring period in the target monitoring period according to the monitoring period occupied by each activity content in the target monitoring period;

[0069] S212: According to the predefined exercise intensity level corresponding to each activity content, the activity content of each health care monitoring person in each monitoring cycle during the target monitoring period is replaced with the corresponding exercise intensity level;

[0070] S213: Using the exercise intensity level as an exercise intensity feature, constructing an exercise intensity feature data list including the exercise intensity feature of each health care monitoring person in each monitoring period within the target monitoring period.

[0071] In this embodiment, after obtaining the identification information of each target health care monitoring personnel, the identification information is first used to match the exercise intensity characteristics of each health care monitoring personnel in each monitoring cycle in the target monitoring period in the exercise intensity characteristic data list, and then the health diagnosis results of the health care monitoring personnel are extracted from the medical health database through the identification information. Based on the disease type and physical sign parameter set in the health diagnosis result, the standard physical sign parameter set corresponding to the disease type and the comparison table of health parameter monitoring requirements under different exercise intensity characteristics are used to determine the health parameter monitoring project requirements and health parameter monitoring frequency requirements of the exercise intensity characteristics of each monitoring cycle in the target monitoring period. In this way, accurate acquisition of the monitoring needs of each target health care monitoring personnel is achieved.

[0072] In a preferred embodiment, the care plan information of several health care terminals is called, and according to the health parameter care execution period and the maximum number of health parameter care items of each health care caregiver in the care plan information, the health parameter monitoring item requirements and the health parameter monitoring frequency requirements are considered, and a health parameter care matching strategy step including the health parameter monitoring subtask of each health care monitoring personnel in each monitoring cycle within the target monitoring period and the corresponding health care care terminal is generated, specifically including:

[0073] S31: calling the nursing plan information of a plurality of health care terminals, and extracting the health parameter nursing execution period and the maximum number of health parameter nursing items of each health care worker in the nursing plan information;

[0074] S32: Considering the health parameter monitoring item requirements and the health parameter monitoring frequency requirements of each health care monitoring staff in each monitoring cycle within the target monitoring period, taking the maximum number of health parameter care items and the health parameter monitoring frequency requirements as constraints, and taking the monitoring load balancing of several health care care staff as the optimization goal, optimize and solve the health parameter care matching strategy.

[0075] Furthermore, considering the health parameter monitoring item requirements and the health parameter monitoring frequency requirements of each health care monitoring personnel in each monitoring cycle within the target monitoring period, taking the maximum number of health parameter care items and the health parameter monitoring frequency requirements as constraints, taking the monitoring load balance of several health care care personnel as the optimization goal, the steps of optimizing and solving the health parameter care matching strategy specifically include:

[0076] S321: Considering the health parameter monitoring item requirements and the health parameter monitoring frequency requirements of each health care monitoring personnel in each monitoring cycle within the target monitoring period;

[0077] S322: The first constraint condition is that the sum of the number of health parameter monitoring items of the health care monitoring personnel assigned to each health care caregiver in each monitoring cycle within the target monitoring period is less than the maximum number of health parameter care items corresponding to the health care caregiver; the second constraint condition is that the time difference between the monitoring cycles corresponding to the two adjacent health care caregivers assigned to each health care monitoring personnel is less than the standard time difference corresponding to the health parameter monitoring frequency requirement of the health care monitoring personnel; the optimization target is to minimize the cumulative sum of the variances of the sum of the number of health parameter monitoring items of the health care monitoring personnel assigned to a number of health care caregivers in each monitoring cycle within the target monitoring period, and optimize the health care caregivers assigned to each health care monitoring personnel in each monitoring cycle within the target monitoring period;

[0078] S323: Based on the health care caregivers assigned to each health care monitoring personnel in each monitoring cycle within the target monitoring period, a health parameter care matching strategy including the health parameter monitoring subtasks of each health care monitoring personnel in each monitoring cycle within the target monitoring period and the corresponding health care care terminals is generated.

[0079] In order to explain the present invention more clearly, the process of optimizing and solving the health parameter care matching strategy is described in detail below by introducing a specific example.

[0080] Specifically, after obtaining the capabilities of each health caregiver (① health parameter care execution period and ② the maximum number of health parameter care items) and the needs of health care monitoring personnel (③ health parameter monitoring item needs and ④ health parameter monitoring frequency needs) through the previous steps, the present invention needs to use the above information as a constraint condition to optimize and solve the strategy of health care monitoring personnel assigned to each health care monitoring personnel in each monitoring cycle. The underlying logic of the allocation strategy optimization solution is: on the basis of not exceeding the maximum number of health parameter care items of each health care caregiver and meeting the health parameter monitoring frequency needs of each health care monitoring personnel, by optimizing and solving the global monitoring load balance, to explore which health care caregiver is most suitable for monitoring the health parameter monitoring items of each health care monitoring personnel in each monitoring cycle.

[0081] The following is an exemplary description of the process of solving the health parameter care matching strategy:

[0082] The target monitoring period is defined as: 10 hours from 8:00 to 18:00, each monitoring cycle is 5 minutes, a total of 120 monitoring cycles;

[0083] Step S3221: List the constraints:

[0084] (1) The data items and monitoring frequency that health care monitoring personnel 1 need to monitor are: 8:00 to 11:00 - 5 data items, 3 times per hour; 11:00 to 15:00 - 3 data items, 2 times per hour; 15:00 to 18:00 - 7 data items, 5 times per hour;

[0085] …

[0086] The data items and monitoring frequency that health care monitoring personnel N need to monitor are: 8:00 to 12:00 - 7 data items, 5 times per hour, 12:00 to 16:00 - 4 data items, 2 times per hour, 16:00 to 18:00 - 10 data items, 6 times per hour;

[0087] (2) The execution period of health care worker 1 and the maximum number of care items in each monitoring cycle are: 8:00 to 12:00 - 50 sets of data, 14:00 to 18:00 - 80 sets of data;

[0088] …

[0089] The execution time period of health care worker M and the maximum number of care items in each monitoring cycle are: 10:00 to 14:00 - 40 groups, 16:00 to 18:00 - 60 groups of data.

[0090] Step S3222: All monitoring data of each health care monitoring personnel in each monitoring cycle are traversally distributed and sent to any health care caregiver to obtain J types of distribution strategies.

[0091] For example, one allocation strategy could be:

[0092] (1) The monitoring data of the first monitoring cycle of health care monitoring personnel 1 is sent to health care care personnel 5, ..., the monitoring data of the 10th monitoring cycle of health care monitoring personnel 1 is not sent to the health care care personnel, ..., the monitoring data of the 120th monitoring cycle of health care monitoring personnel 1 is sent to health care monitoring personnel 7;

[0093] …

[0094] (2) The monitoring data of the first monitoring cycle of health care monitoring personnel N is not sent to health care caregiver,…, the monitoring data of the 20th monitoring cycle of health care monitoring personnel N is sent to health care caregiver M,…; the monitoring data of the 120th monitoring cycle of health care monitoring personnel N is sent to health care caregiver 4.

[0095] Step S3223: According to the above constraints (i.e., the monitoring frequency of the health care monitoring personnel and the maximum number of care items of the health care care personnel), these J allocation strategies are screened to obtain K allocation strategies that meet the above constraints.

[0096] For example, the screening process could be:

[0097] After all monitoring data of each health care monitoring personnel in each monitoring cycle are allocated to the corresponding health care caregivers, determine whether the sum of the monitoring data items of each health care caregiver in each monitoring cycle is greater than the maximum number of care items. If so, the allocation strategy is filtered out; determine whether the time difference between two adjacent monitoring cycles allocated to each health care monitoring personnel is greater than the corresponding time difference of the health care monitoring personnel in each time period. If so, the allocation strategy is filtered out.

[0098] Finally, the K allocation strategies obtained are allocation strategies that can simultaneously meet the monitoring needs of health care monitoring personnel and the care capabilities of health care caregivers.

[0099] Step S3224: Calculate the variance M1 of the sum of the number of health parameter monitoring items assigned to N health care caregivers in the first monitoring cycle of the target period in each allocation strategy, ..., the variance M120 of the sum of the number of health parameter monitoring items assigned to N health care caregivers in the 120th monitoring cycle of the target period, and each variance is used to measure the distribution balance of N health care caregivers in the corresponding monitoring cycle. Since the target period has 120 monitoring cycles, each allocation strategy has a total of 120 variance values, and then the 120 variance values ​​are added to obtain the cumulative sum of the variance values ​​of each allocation strategy, which is used to measure the overall distribution balance of each allocation strategy in the 120 monitoring cycles of the entire target period. After this, select a distribution strategy with the smallest value from the cumulative sum of the variance values ​​calculated for each allocation strategy, and use the distribution strategy as the final health parameter care matching strategy of this application.

[0100] Therefore, a health parameter care matching strategy is solved that can meet the monitoring needs of health care monitoring personnel and the care capabilities of health care care personnel and has the optimal global monitoring load balance.

[0101] On this basis, according to the health parameter care matching strategy, a communication link is established between the monitoring terminal corresponding to each health care monitoring personnel and the corresponding health care care terminal during each monitoring cycle within the target monitoring period, and the health parameter push steps from each monitoring terminal to the corresponding health care care terminal are executed, specifically including:

[0102] S41: extracting the health parameter monitoring subtasks and corresponding health care terminals of each health care monitoring personnel in each monitoring cycle within the target monitoring period in the health parameter care matching strategy, and generating a communication link establishment plan between the monitoring terminal of each health care monitoring personnel and the corresponding health care terminal according to the monitoring cycle in which each health care monitoring personnel and each health care terminal have a matching relationship;

[0103] S42: Based on the communication link establishment plan, a communication link between a monitoring terminal having a matching relationship and a corresponding health care terminal is established in each monitoring cycle within the target monitoring period, and the real-time vital sign parameters collected by the monitoring terminal during the monitoring cycle are pushed to the corresponding health care terminal by using the communication link.

[0104] In this embodiment, after determining the health parameter monitoring project requirements and health parameter monitoring frequency requirements of each health care monitoring personnel, according to the health parameter care execution period and the maximum number of health parameter care items of each health care care personnel in the care plan information, the health parameter monitoring project requirements and the health parameter monitoring frequency requirements are considered, and the maximum number of health parameter care items and the health parameter monitoring frequency requirements are used as constraints. The monitoring load balance of several health care care personnel is used as the optimization goal, and the health parameter care matching strategy that best matches the health parameter monitoring requirements of the current health care monitoring personnel and the care plan of the health care care personnel is optimized. The health parameter care matching strategy is used to establish a communication link between each monitoring terminal and the corresponding health care care terminal during each monitoring cycle within the target monitoring period to execute health parameter push. In this way, this embodiment can improve the rationality and scientificity of the allocation of physical sign parameter monitoring tasks between multiple health care personnel and care personnel with different health conditions and different living habits by realizing high-precision and high-accuracy health parameter monitoring, and can improve the overall work efficiency and quality of care personnel.

[0105] In a preferred embodiment, before each monitoring cycle within the target monitoring period, the actual nursing execution action of the health care caregiver corresponding to each health care care terminal is monitored, and it is determined whether the actual nursing execution action and the care plan information meet the abnormal condition. If so, the care plan information is updated, and the health parameter care matching strategy steps are regenerated, which specifically include:

[0106] S51: before each monitoring cycle within the target monitoring period, obtaining a health care nursing staff presence signal collected by a nursing execution monitoring device set in each health care nursing terminal in each collection cycle, and determining whether each health care nursing staff has an actual nursing execution action based on the health care nursing staff presence signal;

[0107] S52: Determine whether the actual care execution action and the care plan information meet the abnormal condition. If so, update the care plan information and regenerate the health parameter care matching strategy.

[0108] Furthermore, the abnormal condition is configured as a situation where at least one health care caregiver is in a state of not having actual care execution actions for a continuous target number of collection cycles.

[0109] In this embodiment, by obtaining the on-duty signal of the health care staff collected by the care execution monitoring device set up in each health care terminal in each collection period, the actual care execution actions of each health care staff are monitored in real time to update the care plan information, and the health parameter care matching strategy is adjusted in real time, which can improve the environmental adaptability of the health parameter push and avoid the monitoring risks brought about by emergency situations.

[0110] Reference Figure 2 , Figure 2 FIG. 1 is a schematic diagram of the structure of a big data push system applied to smart health care according to an embodiment of the present invention. Figure 2 As shown in the figure, the big data push system applied to smart health care includes:

[0111] The acquisition module 10 is used to acquire the health parameter monitoring task of the target health care area; wherein the health parameter monitoring task includes identification information of several health care monitoring personnel;

[0112] A determination module 20 is used to determine the health parameter monitoring demand information of each health care monitoring personnel based on the identification information, and extract the health parameter monitoring item requirements and health parameter monitoring frequency requirements of each health care monitoring personnel in each monitoring cycle within the target monitoring period recorded in the health parameter monitoring demand information;

[0113] A generation module 30 is used to call the care plan information of several health care terminals, and generate a health parameter care matching strategy including the health parameter monitoring subtasks of each health care monitoring personnel in each monitoring cycle within the target monitoring period and the corresponding health care terminal according to the health parameter care execution period and the maximum number of health parameter care items of each health care care personnel in the care plan information, taking into account the health parameter monitoring item requirements and the health parameter monitoring frequency requirements;

[0114] An execution module 40 is used to establish a communication link between the monitoring terminal corresponding to each health care monitoring personnel and the corresponding health care nursing terminal in each monitoring cycle within the target monitoring period according to the health parameter nursing matching strategy, and execute health parameter push from each monitoring terminal to the corresponding health care nursing terminal;

[0115] The update module 50 is used to monitor the actual care execution actions of the health care personnel corresponding to each health care terminal before each monitoring cycle within the target monitoring period, and determine whether the actual care execution actions and the care plan information meet the abnormal conditions. If so, update the care plan information and regenerate the health parameter care matching strategy.

[0116] Other embodiments or specific implementation methods of the big data push system for smart health care applied to the present invention can refer to the above-mentioned method embodiments and will not be repeated here.

[0117] It is understood that, in the description of this specification, the description with reference to the terms "one embodiment", "another embodiment", "other embodiments", or "first to Nth embodiments" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0118] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0119] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A big data push method applied to smart health care, characterized in that: The following steps are involved: Obtaining a health parameter monitoring task for a target health care area; wherein the health parameter monitoring task includes identification information of a number of health care monitoring personnel; Obtain the activity content of the health care monitoring personnel arranged in time during the target monitoring period, which is pre-submitted by each health care monitoring request terminal, and generate the activity content of each health care monitoring personnel in each monitoring period during the target monitoring period according to the monitoring period occupied by each activity content during the target monitoring period; replace the activity content of each health care monitoring personnel in each monitoring period during the target monitoring period with the corresponding exercise intensity level according to the pre-defined exercise intensity level corresponding to each activity content; use the exercise intensity level as an exercise intensity feature, and construct an exercise intensity feature data list containing the exercise intensity feature of each health care monitoring personnel in each monitoring period during the target monitoring period; Based on the identification information, the exercise intensity characteristics of each health care monitoring person in each monitoring period within the target monitoring period are matched in a pre-generated list of exercise intensity characteristic data; the medical health database is accessed to extract the health diagnosis result of each health care monitoring person corresponding to the identification information, and according to the disease type and physical sign parameter set in the health diagnosis result, in a comparison table of the standard physical sign parameter set corresponding to the disease type and the health parameter monitoring requirements under different exercise intensity characteristics, the health parameter monitoring item requirements and health parameter monitoring frequency requirements of the exercise intensity characteristics of each monitoring period within the target monitoring period are matched for each health care monitoring person; wherein the health care monitoring person exercise intensity characteristic database is configured according to the activity content of the health care monitoring person within the target monitoring period pre-submitted by the health care monitoring request terminal; Call the care plan information of several health care terminals, extract the health parameter care execution period and the maximum number of health parameter care items for each health care caregiver in the care plan information; consider the health parameter monitoring item requirements and the health parameter monitoring frequency requirements of each health care monitoring personnel in each monitoring cycle within the target monitoring period; take the sum of the number of health parameter monitoring items of the health care monitoring personnel assigned to each health care monitoring personnel in each monitoring cycle within the target monitoring period as the first constraint condition less than the maximum number of health parameter care items corresponding to the health care caregiver; take the time difference between the monitoring periods corresponding to the two adjacent health care monitoring personnel assigned to each health care monitoring personnel as the first constraint condition; The value is less than the standard time difference corresponding to the health parameter monitoring frequency requirement of the health care monitoring personnel as the second constraint condition, and the minimum variance cumulative sum of the sum of the number of health parameter monitoring items of the health care monitoring personnel assigned to a number of health care care personnel in each monitoring period of the target time period is taken as the optimization goal, and the health care care personnel assigned to each health care monitoring personnel in each monitoring period in the target monitoring period are optimized; based on the health care care personnel assigned to each health care monitoring personnel in each monitoring period in the target monitoring period, a health parameter care matching strategy including the health parameter monitoring subtask of each health care monitoring personnel in each monitoring period in the target monitoring period and the corresponding health care care terminal is generated; According to the health parameter care matching strategy, a communication link is established between the monitoring terminal corresponding to each health care monitoring personnel and the corresponding health care care terminal during each monitoring cycle within the target monitoring period, and health parameter push is executed from each monitoring terminal to the corresponding health care care terminal; Before each monitoring cycle within the target monitoring period, the on-duty signal of the health care staff collected by the care execution monitoring device set in each health care terminal in each collection cycle is obtained, and based on the on-duty signal of the health care staff, it is determined whether each health care staff has an actual care execution action; it is determined whether the actual care execution action and the care plan information meet the abnormal condition, and if so, the care plan information is updated, and the health parameter care matching strategy is regenerated.

2. The big data push method for smart health care as claimed in claim 1, characterized in that: The steps for obtaining health parameter monitoring tasks in the target health care area include: Obtain health care monitoring applications uploaded by several health care monitoring request terminals, and extract identification information and health care location information of target health care monitoring personnel recorded in each health care monitoring application; Calling an electronic map of the target health care area, based on the health care location information of each target health care monitoring personnel and the target health care area standard range of the electronic map, screening the target health care monitoring personnel whose health care location information falls within the target health care area standard range; The identification information of each target health care monitoring personnel after screening is summarized to construct the health parameter monitoring task of the target health care area.

3. The big data push method for smart health care as claimed in claim 1, characterized in that: According to the health parameter care matching strategy, a communication link is established between the monitoring terminal corresponding to each health care monitoring personnel and the corresponding health care care terminal during each monitoring cycle within the target monitoring period, and the health parameter push step of each monitoring terminal to the corresponding health care care terminal is executed, specifically including: Extract the health parameter monitoring subtasks and corresponding health care terminals of each health care monitoring personnel in each monitoring cycle within the target monitoring period in the health parameter care matching strategy, and generate a communication link establishment plan between the monitoring terminal of each health care monitoring personnel and the corresponding health care terminal according to the monitoring cycle in which each health care monitoring personnel and each health care terminal have a matching relationship; Based on the communication link establishment plan, a communication link between a monitoring terminal with a matching relationship and a corresponding health care terminal is established in each monitoring cycle within the target monitoring period, and the real-time vital sign parameters collected by the monitoring terminal during the monitoring cycle are pushed to the corresponding health care terminal using the communication link.

4. The big data push method for smart health care as claimed in claim 1, characterized in that: The abnormal condition is configured as a situation where at least one health care caregiver is in a state of not having actual care execution actions for a continuous target number of collection cycles.

5. A big data push system for smart health care, characterized in that: include: An acquisition module, used to acquire the health parameter monitoring task of the target health care area; wherein the health parameter monitoring task includes identification information of several health care monitoring personnel; The determination module is used to obtain the activity content of the health care monitoring personnel arranged in time during the target monitoring period, which is pre-submitted by each health care monitoring request terminal, and generate the activity content of each health care monitoring personnel in each monitoring period during the target monitoring period according to the monitoring period occupied by each activity content during the target monitoring period; according to the pre-defined exercise intensity level corresponding to each activity content, the activity content of each health care monitoring personnel in each monitoring period during the target monitoring period is replaced with the corresponding exercise intensity level; the exercise intensity level is used as the exercise intensity feature to construct an exercise intensity feature data list containing the exercise intensity feature of each health care monitoring personnel in each monitoring period during the target monitoring period; based on the identification information, the exercise intensity feature is generated in advance. The health monitoring personnel exercise intensity characteristics of each monitoring cycle in the target monitoring period are matched in the sign data list; the medical health database is accessed to extract the health diagnosis result of each health monitoring personnel corresponding to the identification information, and according to the disease type and the sign parameter set in the health diagnosis result, the health parameter monitoring item requirements and the health parameter monitoring frequency requirements of the exercise intensity characteristics of each monitoring cycle in the target monitoring period are matched in the comparison table of the standard sign parameter set corresponding to the disease type and the health parameter monitoring requirements under different exercise intensity characteristics; wherein the health monitoring personnel exercise intensity characteristic database is configured according to the activity content of the health monitoring personnel in the target monitoring period submitted in advance by the health monitoring request terminal; A generation module is used to call the care plan information of several health care terminals, extract the health parameter care execution period and the maximum number of health parameter care items for each health care caregiver in the care plan information; consider the health parameter monitoring item requirements and the health parameter monitoring frequency requirements of each health care monitoring personnel in each monitoring cycle within the target monitoring period; take the sum of the number of health parameter monitoring items of the health care monitoring personnel assigned to each health care caregiver in each monitoring cycle within the target monitoring period as the first constraint condition less than the maximum number of health parameter care items corresponding to the health care caregiver, and take each health care monitoring personnel assigned to the monitoring cycles corresponding to the two adjacent health care caregivers before and after The time difference of is less than the standard time difference corresponding to the health parameter monitoring frequency requirement of the health care monitoring personnel as the second constraint condition, and the minimum variance cumulative sum of the sum of the number of health parameter monitoring items of the health care monitoring personnel assigned to a number of health care care personnel in each monitoring period of the target time period is taken as the optimization goal, and the health care care personnel assigned to each health care monitoring personnel in each monitoring period in the target monitoring period are optimized; based on the health care care personnel assigned to each health care monitoring personnel in each monitoring period in the target monitoring period, a health parameter care matching strategy including the health parameter monitoring subtask of each health care monitoring personnel in each monitoring period in the target monitoring period and the corresponding health care care terminal is generated; An execution module is used to establish a communication link between the monitoring terminal corresponding to each health care monitoring personnel and the corresponding health care nursing terminal in each monitoring cycle within the target monitoring period according to the health parameter nursing matching strategy, and execute health parameter push from each monitoring terminal to the corresponding health care nursing terminal; The update module is used to obtain the on-duty signal of the health care staff collected by the care execution monitoring device set in each health care terminal in each collection period before each monitoring cycle within the target monitoring period, and determine whether each health care staff has actual care execution action based on the on-duty signal of the health care staff; judge whether the actual care execution action and the care plan information meet the abnormal conditions. If so, update the care plan information and regenerate the health parameter care matching strategy.

Images