Using Information Technology to Manage the COVID-19 Pandemic: Development of a Technical Framework Based on Practical Experience in China
The coronavirus disease (COVID-19) epidemic poses an enormous challenge to the global health system, and governments have taken active preventive and control measures. The health informatics community in China has actively taken action to leverage health information technologies for epidemic monitor...
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| Published in | JMIR medical informatics Vol. 8; no. 6; p. e19515 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
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JMIR Publications
08.06.2020
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| Subjects | |
| Online Access | Get full text |
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| Abstract | The coronavirus disease (COVID-19) epidemic poses an enormous challenge to the global health system, and governments have taken active preventive and control measures. The health informatics community in China has actively taken action to leverage health information technologies for epidemic monitoring, detection, early warning, prevention and control, and other tasks.
The aim of this study was to develop a technical framework to respond to the COVID-19 epidemic from a health informatics perspective.
In this study, we collected health information technology-related information to understand the actions taken by the health informatics community in China during the COVID-19 outbreak and developed a health information technology framework for epidemic response based on health information technology-related measures and methods.
Based on the framework, we review specific health information technology practices for managing the outbreak in China, describe the highlights of their application in detail, and discuss critical issues to consider when using health information technology. Technologies employed include mobile and web-based services such as Internet hospitals and Wechat, big data analyses (including digital contact tracing through QR codes or epidemic prediction), cloud computing, Internet of things, Artificial Intelligence (including the use of drones, robots, and intelligent diagnoses), 5G telemedicine, and clinical information systems to facilitate clinical management for COVID-19.
Practical experience in China shows that health information technologies play a pivotal role in responding to the COVID-19 epidemic. |
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| AbstractList | The coronavirus disease (COVID-19) epidemic poses an enormous challenge to the global health system, and governments have taken active preventive and control measures. The health informatics community in China has actively taken action to leverage health information technologies for epidemic monitoring, detection, early warning, prevention and control, and other tasks.BACKGROUNDThe coronavirus disease (COVID-19) epidemic poses an enormous challenge to the global health system, and governments have taken active preventive and control measures. The health informatics community in China has actively taken action to leverage health information technologies for epidemic monitoring, detection, early warning, prevention and control, and other tasks.The aim of this study was to develop a technical framework to respond to the COVID-19 epidemic from a health informatics perspective.OBJECTIVEThe aim of this study was to develop a technical framework to respond to the COVID-19 epidemic from a health informatics perspective.In this study, we collected health information technology-related information to understand the actions taken by the health informatics community in China during the COVID-19 outbreak and developed a health information technology framework for epidemic response based on health information technology-related measures and methods.METHODSIn this study, we collected health information technology-related information to understand the actions taken by the health informatics community in China during the COVID-19 outbreak and developed a health information technology framework for epidemic response based on health information technology-related measures and methods.Based on the framework, we review specific health information technology practices for managing the outbreak in China, describe the highlights of their application in detail, and discuss critical issues to consider when using health information technology. Technologies employed include mobile and web-based services such as Internet hospitals and Wechat, big data analyses (including digital contact tracing through QR codes or epidemic prediction), cloud computing, Internet of things, Artificial Intelligence (including the use of drones, robots, and intelligent diagnoses), 5G telemedicine, and clinical information systems to facilitate clinical management for COVID-19.RESULTSBased on the framework, we review specific health information technology practices for managing the outbreak in China, describe the highlights of their application in detail, and discuss critical issues to consider when using health information technology. Technologies employed include mobile and web-based services such as Internet hospitals and Wechat, big data analyses (including digital contact tracing through QR codes or epidemic prediction), cloud computing, Internet of things, Artificial Intelligence (including the use of drones, robots, and intelligent diagnoses), 5G telemedicine, and clinical information systems to facilitate clinical management for COVID-19.Practical experience in China shows that health information technologies play a pivotal role in responding to the COVID-19 epidemic.CONCLUSIONSPractical experience in China shows that health information technologies play a pivotal role in responding to the COVID-19 epidemic. Background: The coronavirus disease (COVID-19) epidemic poses an enormous challenge to the global health system, and governments have taken active preventive and control measures. The health informatics community in China has actively taken action to leverage health information technologies for epidemic monitoring, detection, early warning, prevention and control, and other tasks. Objective: The aim of this study was to develop a technical framework to respond to the COVID-19 epidemic from a health informatics perspective. Methods: In this study, we collected health information technology–related information to understand the actions taken by the health informatics community in China during the COVID-19 outbreak and developed a health information technology framework for epidemic response based on health information technology–related measures and methods. Results: Based on the framework, we review specific health information technology practices for managing the outbreak in China, describe the highlights of their application in detail, and discuss critical issues to consider when using health information technology. Technologies employed include mobile and web-based services such as Internet hospitals and Wechat, big data analyses (including digital contact tracing through QR codes or epidemic prediction), cloud computing, Internet of things, Artificial Intelligence (including the use of drones, robots, and intelligent diagnoses), 5G telemedicine, and clinical information systems to facilitate clinical management for COVID-19. Conclusions: Practical experience in China shows that health information technologies play a pivotal role in responding to the COVID-19 epidemic. The coronavirus disease (COVID-19) epidemic poses an enormous challenge to the global health system, and governments have taken active preventive and control measures. The health informatics community in China has actively taken action to leverage health information technologies for epidemic monitoring, detection, early warning, prevention and control, and other tasks. The aim of this study was to develop a technical framework to respond to the COVID-19 epidemic from a health informatics perspective. In this study, we collected health information technology-related information to understand the actions taken by the health informatics community in China during the COVID-19 outbreak and developed a health information technology framework for epidemic response based on health information technology-related measures and methods. Based on the framework, we review specific health information technology practices for managing the outbreak in China, describe the highlights of their application in detail, and discuss critical issues to consider when using health information technology. Technologies employed include mobile and web-based services such as Internet hospitals and Wechat, big data analyses (including digital contact tracing through QR codes or epidemic prediction), cloud computing, Internet of things, Artificial Intelligence (including the use of drones, robots, and intelligent diagnoses), 5G telemedicine, and clinical information systems to facilitate clinical management for COVID-19. Practical experience in China shows that health information technologies play a pivotal role in responding to the COVID-19 epidemic. BackgroundThe coronavirus disease (COVID-19) epidemic poses an enormous challenge to the global health system, and governments have taken active preventive and control measures. The health informatics community in China has actively taken action to leverage health information technologies for epidemic monitoring, detection, early warning, prevention and control, and other tasks. ObjectiveThe aim of this study was to develop a technical framework to respond to the COVID-19 epidemic from a health informatics perspective. MethodsIn this study, we collected health information technology–related information to understand the actions taken by the health informatics community in China during the COVID-19 outbreak and developed a health information technology framework for epidemic response based on health information technology–related measures and methods. ResultsBased on the framework, we review specific health information technology practices for managing the outbreak in China, describe the highlights of their application in detail, and discuss critical issues to consider when using health information technology. Technologies employed include mobile and web-based services such as Internet hospitals and Wechat, big data analyses (including digital contact tracing through QR codes or epidemic prediction), cloud computing, Internet of things, Artificial Intelligence (including the use of drones, robots, and intelligent diagnoses), 5G telemedicine, and clinical information systems to facilitate clinical management for COVID-19. ConclusionsPractical experience in China shows that health information technologies play a pivotal role in responding to the COVID-19 epidemic. |
| Author | Zhou, Jin Ye, Qing Wu, Hong |
| AuthorAffiliation | 2 School of Medicine and Health Management Tongji Medical College Huazhong University of Science and Technology Wuhan China 1 Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China |
| AuthorAffiliation_xml | – name: 2 School of Medicine and Health Management Tongji Medical College Huazhong University of Science and Technology Wuhan China – name: 1 Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32479411$$D View this record in MEDLINE/PubMed |
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| Copyright | Qing Ye, Jin Zhou, Hong Wu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 08.06.2020. 2020. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Qing Ye, Jin Zhou, Hong Wu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 08.06.2020. 2020 |
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| SubjectTerms | Coronaviruses COVID-19 Government agencies Internet of Things Original Paper Standardization |
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| Title | Using Information Technology to Manage the COVID-19 Pandemic: Development of a Technical Framework Based on Practical Experience in China |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/32479411 https://www.proquest.com/docview/2511967734 https://www.proquest.com/docview/2408824042 https://pubmed.ncbi.nlm.nih.gov/PMC7282474 https://doaj.org/article/b6dcde59ab0348b5918a2e6b99e25657 |
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