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Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19)

Authors :
Li Bai
Dawei Yang
Xun Wang
Lin Tong
Xiaodan Zhu
Nanshan Zhong
Chunxue Bai
Charles A. Powell
Rongchang Chen
Jian Zhou
Yuanlin Song
Xin Zhou
Huili Zhu
Baohui Han
Qiang Li
Guochao Shi
Shengqing Li
Changhui Wang
Zhongmin Qiu
Yong Zhang
Yu Xu
Jie Liu
Ding Zhang
Chaomin Wu
Jing Li
Jinming Yu
Jiwei Wang
Chunling Dong
Yaoli Wang
Qi Wang
Lichuan Zhang
Min Zhang
Xia Ma
Lin Zhao
Wencheng Yu
Tao Xu
Yang Jin
Xiongbiao Wang
Yuehong Wang
Yan Jiang
Hong Chen
Kui Xiao
Xiaoju Zhang
Zhenju Song
Ziqiang Zhang
Xueling Wu
Jiayuan Sun
Yao Shen
Maosong Ye
Chunlin Tu
Jinjun Jiang
Hai Yu
Fei Tan
Source :
Clinical eHealth, Vol 3, Iss , Pp 7-15 (2020)
Publication Year :
2020
Publisher :
KeAi Communications Co., Ltd., 2020.

Abstract

The aim is to diagnose COVID-19 earlier and to improve its treatment by applying medical technology, the “COVID-19 Intelligent Diagnosis and Treatment Assistant Program (nCapp)” based on the Internet of Things. Terminal eight functions can be implemented in real-time online communication with the “cloud” through the page selection key. According to existing data, questionnaires, and check results, the diagnosis is automatically generated as confirmed, suspected, or suspicious of 2019 novel coronavirus (2019-nCoV) infection. It classifies patients into mild, moderate, severe or critical pneumonia. nCapp can also establish an online COVID-19 real-time update database, and it updates the model of diagnosis in real time based on the latest real-world case data to improve diagnostic accuracy. Additionally, nCapp can guide treatment. Front-line physicians, experts, and managers are linked to perform consultation and prevention. nCapp also contributes to the long-term follow-up of patients with COVID-19. The ultimate goal is to enable different levels of COVID-19 diagnosis and treatment among different doctors from different hospitals to upgrade to the national and international through the intelligent assistance of the nCapp system. In this way, we can block disease transmission, avoid physician infection, and epidemic prevention and control as soon as possible.

Details

Language :
English
ISSN :
25889141
Volume :
3
Issue :
7-15
Database :
Directory of Open Access Journals
Journal :
Clinical eHealth
Publication Type :
Academic Journal
Accession number :
edsdoj.3a6bde3d98043b1b3dd7be4276625ff
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ceh.2020.03.001