Intelligent public health service system and method based on Internet of Things

Abstract

The invention discloses an intelligent public health service system and method based on the Internet of Things, and the system comprises an intelligent public health service framework which comprises a data collection and construction module, a model building module, an intelligent management module and a prediction and early warning module. The data acquisition module is used for acquiring data and constructing a distributed data sharing platform by using the acquired data, the model establishment module is used for associating the acquired data and establishing a public health early warning model, and the intelligent management module is used for performing intelligent management on vaccination, blood management and health management and is linked with intelligent wearable equipment. According to the invention, by using a setting mode of matching data association, vaccination, blood intelligent management and intelligent prediction and early warning, through Internet of Things multi-source perception and block chain cross-domain evidence storage, full-process tracing of materials such as vaccines and blood is realized, full-process data connection is realized, and the problems of information lag and repeated acquisition are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of intelligent public health services, in particular to a system and method for intelligent public health services based on the Internet of Things. BACKGROUND

[0002] Public health services, also known as public health services, generally refer to health services provided by the government or public sector that can prevent and treat diseases, promote health, prolong life and improve the quality of life to maintain the overall health level of society.

[0003] In order to further realize the convenience of public health services, intelligent public health services will be implemented, which usually use Internet of Things technology to realize the intelligentization and intellectualization of public health system work, and promote the efficient landing of public health work.

[0004] However, the intelligent public health services of the prior art are not convenient for full-process data penetration of vaccines, blood and other materials, and thus there are problems of real-time intercommunication of vaccination, chronic disease management and other data, information lag and repeated collection. SUMMARY

[0005] The present application aims to provide a system and method for intelligent public health services based on the Internet of Things to solve the problems raised in the background art.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical solution: a system for intelligent public health services based on the Internet of Things, comprising an intelligent public health service framework, the intelligent public service framework comprising:

[0007] A data acquisition and construction module is used to acquire data in real time and construct a distributed data sharing platform using the acquired data;

[0008] A model establishment module is used to associate the collected data and establish a public health early warning model;

[0009] An intelligent management module is used to intelligently manage vaccination, blood management and health management, and is linked with intelligent wearable devices, combines heart rate and blood glucose monitoring data, and generates a personalized health intervention plan;

[0010] A prediction and early warning module is used to assist the public health department in formulating intervention strategies and to establish a visual supervision platform based on the collected data and intelligent management;

[0011] An information platform module is used to enable remote consultation and data sharing between grassroots and superior medical institutions, and to establish an emergency response mechanism.

[0012] Preferably, the data acquisition and construction module is connected with the model establishment module through data interaction, and the data acquisition and construction module acquires multi-source heterogeneous data by using multi-modal sensors.

[0013] Preferably, the model establishment module is connected with the intelligent management module through data interaction, and the model establishment module is connected with the prediction and early warning module through data transmission.

[0014] Preferably, the information platform module is connected with the prediction and early warning module through data interaction, and the information platform includes a remote diagnosis and treatment collaboration module, a data sharing and exchange platform, a resource scheduling and business collaboration module, and a quality control and decision support module.

[0015] A method for smart public health service based on Internet of Things, comprising the following specific steps:

[0016] Step one: real-time data acquisition by Internet of Things equipment, and then construction of a distributed data sharing platform by using blockchain technology;

[0017] Step two: association of the collected data, establishment of a public health early warning model, and introduction of blockchain technology in vaccine tracing and electronic health records;

[0018] Step three: embedding of intelligent algorithms into Internet of Things equipment and data flow, so as to realize closed-loop automation from data acquisition to decision execution, establish an automated vaccine workstation, and utilize Internet of Things to intelligently manage vaccine inoculation, blood management, and health management, and link with intelligent wearable devices, combine heart rate and blood glucose monitoring data, and generate a personalized health intervention plan;

[0019] Step four: intelligent prediction and early warning to assist the public health department in formulating intervention strategies, and establishment of a visualized supervision platform based on collected data and intelligent management, real-time monitoring of the status of urban public health services through a one-screen management mode;

[0020] Step five: then establish an information platform to realize remote consultation and data sharing between grassroots and superior medical institutions, and establish an emergency response mechanism.

[0021] Preferably, the real-time data collected in step one include vaccine inoculation, blood management, chronic disease monitoring, and environmental health, and the data association in step two is to make air quality and water quality environmental data and disease data common.

[0022] Preferably, the intelligent management of vaccination in the second step is to freeze the problematic vaccines and accurately identify and take out the vaccines by using Internet of Things technology, and the storage and vaccination integration operation is completed through an automatic vaccine workstation, the operation mode of the blood intelligent management in the second step is to monitor and trace the whole process of cold chain from blood collection to clinical blood use, and the operation mode of the health intelligent management in the third step is to upload and store the identity data of patients to construct a digital physical examination scheme.

[0023] Preferably, the operation mode of the intelligent prediction and early warning in the fourth step is to predict disease sensing trends and chronic disease risks through big data analysis and generate relevant data comparison charts, and the real-time monitoring of the city public health service state in the fourth step includes vaccine coverage and blood inventory.

[0024] Preferably, in the third step, when the vaccines and blood are managed, an embedded intelligent cold chain cabinet device is used, edge computing is combined to realize real-time decision-making, and an anomaly detection algorithm is used to identify abnormal data points, and the formula of the anomaly detection algorithm is as follows:

[0025]

[0026] Wherein, E(h(x)) is the expected value of the sample path length, which is used as the basis for anomaly determination, and c(n) is a standardization factor, which is used to adjust the reference value of the path length.

[0027] Preferably, the establishment steps of the automatic vaccine workstation in the third step include hardware infrastructure deployment, data interconnection and intelligent management.

[0028] Technical effects and advantages of the present application:

[0029] (1) The present application realizes the whole process tracing of vaccines and blood and other materials by using data association, vaccine inoculation, blood intelligent management, intelligent prediction and early warning, Internet of Things multi-source sensing and block chain cross-domain storage, realizes the whole process data penetration, and solves the problems of information lag and repeated collection.

[0030] (2) The present application realizes the remote consultation and data sharing of primary and superior medical institutions through the established information platform, and is conducive to obtaining timely health screening and vaccination services. BRIEF DESCRIPTION OF DRAWINGS

[0031] Fig. 1 The present application is a wisdom public health service system block diagram.

[0032] Fig. 2 The present application is a wisdom public health service process schematic diagram. DETAILED DESCRIPTION

[0033] Clearly and completely, the technical solutions in the embodiments of the present application will be described in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of the present application.

[0034] The present application provides a system for smart public health service based on Internet of Things as shown in Figs. 1-2 The system for smart public health service based on Internet of Things comprises a smart public health service framework, and the smart public service framework comprises:

[0035] A data acquisition and construction module is used to acquire data in real time, and a distributed data sharing platform is constructed by using the acquired data, thereby facilitating breaking down the data barriers among medical institutions, public health platforms and communities.

[0036] A model establishment module is used to associate the acquired data and establish a public health early warning model.

[0037] An intelligent management module is used to intelligently manage vaccination, blood management and health management, and is linked with intelligent wearable devices, combines heart rate and blood glucose monitoring data, and generates a personalized health intervention plan.

[0038] A prediction and early warning module is used to assist the public health department in formulating intervention strategies, and a visual supervision platform is established based on the acquired data and intelligent management.

[0039] An information platform module is used to enable remote consultation and data sharing between grassroots and superior medical institutions, and to establish an emergency response mechanism.

[0040] The data acquisition and construction module and the model establishment module are connected through data interaction, the data acquisition and construction module acquires multi-source heterogeneous data by using multi-modal sensors, the model establishment module and the intelligent management module are connected through data interaction, the model establishment module is connected with the prediction and early warning module through data transmission, the information platform module is connected with the prediction and early warning module through data interaction, and the information platform comprises a remote diagnosis and treatment collaboration module, a data sharing and exchange platform, a resource scheduling and business collaboration module and a quality control and decision support module.

[0041] A method for smart public health service based on Internet of Things comprises the following specific steps:

[0042] Step 1: Real-time data acquisition by Internet of Things equipment, the real-time acquired data includes vaccination, blood management, chronic disease monitoring and environmental health, and then a distributed data sharing platform is constructed by using blockchain technology.

[0043] Step two: associate the collected data, establish a public health warning model, and introduce blockchain technology in vaccine traceability and electronic health records. The way to associate data is to correlate air quality and water quality environmental data with disease data. Intelligent management of vaccination involves freezing and accurately identifying problematic vaccines using IoT technology, and completing integrated storage and vaccination operations through automated vaccine workstations. The operation method of intelligent blood management is to monitor and trace the whole process of cold chain from blood collection to clinical use;

[0044] Step three: embed intelligent algorithms into IoT devices and data streams to make data collection to decision execution a closed-loop automation, establish an automated vaccine workstation, which is conducive to realizing unmanned operation of the whole process of vaccine inventory, storage, and vaccination, reducing human errors, and using IoT to intelligently manage vaccination, blood management, and health management, and linking with smart wearable devices, combining heart rate and blood sugar monitoring data to generate personalized health intervention plans. The operation method of health intelligent management is to upload and store the patient's identity data, build a digital physical examination plan, and the establishment steps of the automated vaccine workstation include hardware infrastructure deployment, data interconnection, and intelligent management;

[0045] Step four: assist public health departments in developing intervention strategies through intelligent prediction and early warning, and establish a visual supervision platform based on collected data and intelligent management, and real-time monitor the status of urban public health services through one-screen management mode. The operation method of intelligent prediction and early warning is to predict disease transmission trends and chronic disease risks through big data analysis and generate relevant data comparison charts. Real-time monitoring of the status of urban public health services includes vaccine coverage and blood inventory;

[0046] Step five: then establish an information platform to enable remote consultation and data sharing between grassroots and superior medical institutions, and establish an emergency response mechanism.

[0047] Specifically, in step three, when managing vaccines and blood, an intelligent cold chain cabinet device is embedded, combined with edge computing to realize real-time decision-making, and an anomaly detection algorithm is used to identify abnormal data points. The formula of the anomaly detection algorithm is as follows:

[0048]

[0049] Where E(h(x)) is the expected value of the sample path length, used as the basis for anomaly determination, and c(n) is the standardization factor, used to adjust the baseline value of the path length.

[0050] Finally, it should be noted that the above only describes the preferred embodiments of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art will appreciate that the technical solutions described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalent features, and any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A system for intelligent public health services based on the Internet of Things, characterized in that: Including a smart public health service framework, the smart public service framework includes: A data collection and construction module, which is used to collect data in real time and build a distributed data sharing platform using the collected data; A model building module, which is used to correlate the collected data and build a public health early warning model; An intelligent management module, which is used to intelligently manage vaccinations, blood management, and health management, and works with smart wearable devices to generate personalized health intervention plans based on heart rate and blood sugar monitoring data; A prediction and early warning module, which is used to assist public health departments in formulating intervention strategies and establish a visual supervision platform based on collected data and intelligent management; An information platform module is used to enable remote consultation and data sharing between grassroots and higher-level medical institutions, and to establish an emergency response mechanism.

2. The system for intelligent public health services based on the Internet of Things according to claim 1, characterized in that: The data acquisition and construction module is connected to the model building module through data interaction, and the data acquisition and construction module uses multi-modal sensors to collect multi-source heterogeneous data.

3. The system for intelligent public health services based on the Internet of Things according to claim 1, characterized in that: The model building module is connected to the intelligent management module through data interaction, and the model building module is connected to the prediction and early warning module through data transmission.

4. The system for intelligent public health services based on the Internet of Things according to claim 1, characterized in that: The information platform module is connected to the prediction and early warning module through data interaction. The information platform includes a remote diagnosis and treatment collaboration module, a data sharing and exchange platform, a resource scheduling and business collaboration module, and a quality control and decision support module.

5. A method for providing smart public health services based on the Internet of Things, characterized in that: The specific steps include: Step 1: Collect data in real time through IoT devices, and then use blockchain technology to build a distributed data sharing platform; Step 2: Correlate the collected data, build a public health early warning model, and introduce blockchain technology in vaccine traceability and electronic health records; Step 3: By embedding intelligent algorithms into IoT devices and data streams, the closed loop from data collection to decision execution is automated. An automated vaccination workstation is established, and the IoT is used to intelligently manage vaccination, blood management, and health management. Furthermore, the workstation is linked to smart wearable devices and combines heart rate and blood sugar monitoring data to generate personalized health intervention plans. Step 4: Through intelligent prediction and early warning, assist public health departments in formulating intervention strategies. Based on collected data and intelligent management, a visual supervision platform is established to monitor the status of urban public health services in real time through a one-screen unified management model. Step 5: Then establish an information platform to enable remote consultation and data sharing between grassroots and higher-level medical institutions, and establish an emergency response mechanism.

6. The method for providing smart public health services based on the Internet of Things according to claim 5, characterized in that: The data collected in real time in step one includes vaccination, blood management, chronic disease monitoring and environmental health, and the data in step two is associated by integrating air quality and water quality environmental data with disease data.

7. The method for providing smart public health services based on the Internet of Things according to claim 5, characterized in that: The intelligent vaccination management in step two is to use the Internet of Things technology to freeze problematic vaccines and accurately identify and remove vaccines, and complete the integrated storage and vaccination operations through an automated vaccine workstation. The operation method of the blood intelligent management in step two is to monitor and trace the cold chain from blood collection to clinical blood use. The operation method of the health intelligent management in step three is to build a digital physical examination plan by uploading and storing the patient's identity data.

8. The method for providing smart public health services based on the Internet of Things according to claim 5, characterized in that: The operation method of the intelligent prediction and early warning in step four is to predict disease sensing trends and chronic disease risks through big data analysis and generate relevant data comparison charts. The real-time monitoring of urban public health service status in step four includes vaccine coverage and blood inventory.

9. The method for providing smart public health services based on the Internet of Things according to claim 5, characterized in that: In step 3, when managing vaccines and blood, embedded intelligent cold chain cabinet equipment is used, combined with edge computing to achieve real-time decision-making, and anomaly detection algorithms are used to identify abnormal data points. The formula of the anomaly detection algorithm is as follows: Where E(h(x)) is the expected value of the sample path length, which is used as the basis for abnormality judgment, and c(n) is the normalization factor, which is used to adjust the baseline value of the path length.

10. The method for providing smart public health services based on the Internet of Things according to claim 5, characterized in that: The steps of establishing the automated vaccine workstation in step three include hardware infrastructure deployment, data interconnection and intelligent management.

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