Intelligent health monitoring system based on cloud services

Abstract

The invention provides an intelligent health monitoring system based on cloud services. The intelligent health monitoring system based on the cloud services comprises monitoring terminals, a community service center and a hospital information system, wherein an intelligent terminal and family medical devices are utilized for monitoring human body physiological data, and the collected data are stored in resident health files and corresponding community cloud storage devices in real time; the community service center gathers the monitored data to generate a real-time data report, the real-time data report is recorded to electronic health files of users, and abnormal physiological data are fed back to families or individuals in time; the hospital information system reads the electronic health files through a community sharing platform, individual electronic medical records are generated, remote registering appointment is received, and remote medical services are provided. The medical healthcare service system is built through the cloud calculation idea in the medical service field, it is ensured that health data of patients can be collected, analyzed, transmitted and stored anytime and anywhere in the non-fixed health monitoring environment except for families, communities and hospitals, and the remote medical services are achieved.

Description

technical field [0001] The invention relates to an intelligent health monitoring system based on medical cloud computing service. Background technique [0002] Health management is still a new thing in my country. It is in its infancy in terms of scale and system. There are basic deficiencies in health management, and the basic data for health level monitoring has not yet been established. At present, the industrialization of intelligent health has the following problems: 1) There is a lack of sharing of health information. The medical data information of most hospitals in China is not shared with the outside world, which is an isolated island of health information, which can easily lead to low service efficiency and high health management costs. 2) Lack of continuous monitoring and management of health indicators. The current health management work mainly focuses on the treatment of patients after the onset of the disease, and lacks prevention and monitoring before the on...

AI Technical Summary

Problems solved by technology

[0002] Health management is still a new thing in our country, both in terms of scale and system, it is in its infancy, there are fundamental deficiencies in health management, and the basic data for health level monitoring has not yet been established

At present, there are several problems in the industrialization of smart health: 1) Lack of sharing of health information

The medical data and information of most hospitals in China are not shared with the outside world, and belong to isolated islands of health information, which can easily lead to low service efficiency and high health management costs

2) Lack of continuous monitoring and management of health indicators

The current health and hygiene management work is mainly focused on the treatment of patients after the onset of the disease, lack of prevention and monitoring before the onset of the disease

At the same time, due to the lack of previous health data during the treatment process, it is difficult to judge the continuous treatment effect and recovery degree of patients with chronic diseases

3) The modern medical system cannot meet multi-level health needs, such as patients with chronic diseases

4) Some technologies of intelligent health management are not yet perfect

Medical-specific sensor terminals have high precision but are bulky and complicated to use, requiring professional doctors to operate and use them. Although small RFID-based sensing devices are easy to move and easy to operate, they also face problems such as measurement reliability and transmission reliability. The remote diagnosis mode of actual remote monitoring and diagnosis, and the data mining of massive health data, remote medical assistance and health intervention still face many technical innovation problems

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