Intelligent Isolation medical observation management system based on Internet of things (Preprint)

Author:

Sun Wensheng,Wang Chunmei,Ling Feng,Miao Ziping,Wu Guangsong

Abstract

BACKGROUND

Since the new coronavirus infection was found in December 2019, it has caused a large-scale spread in the world. By zero o'clock on May 24, 2020, the total number of confirmed cases in the world has exceeded 5.3 million and the number of deaths has exceeded 340000. Considering the characteristics of the new coronavirus, such as strong infectivity and long incubation period, it is very important to isolate and observe the suspicious population all day and find the suspected cases with symptoms as soon as possible.

OBJECTIVE

To use remote monitoring of vital signs such as body temperature and cough, avoid traditional on-site medical observation, and effectively reduce the workload of medical staff and the risk of infection.

METHODS

The Internet of things isolation medical observation system based on wristwatch was established. The system consists of six modules: equipment management, vital signs monitoring, remote control, early warning report, statistical analysis and multi organization user management. Generally speaking, it can collect, transmit, store and analyze the location, temperature, blood oxygen, blood pressure, heart rate, respiratory rate, cough and other vital sign information of the observed population in real time by using the wristwatch with built-in sensors, mobile Internet and cloud based database management, and give early warning for suspicious situations.

RESULTS

This highly customizable report design makes it easy to be embedded into the third-party management system, so that further analysis, early warning and prediction modules can be built in a larger population. Managers can log in to the platform or mobile app to monitor and manage the observed personnel. Their user-friendly interface is intuitive and easy to navigate, which will ultimately help save time and resources, and more importantly, reduce the occupational exposure risk of medical personnel.

CONCLUSIONS

The wristwatch based medical isolation observation system can be used to screen the new coronavirus infection, which is stable and reliable.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3