Managing Pandemics with Health Informatics

Author:

Dixon Brian E.12,Holmes John H.34,

Affiliation:

1. Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA

2. Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA

3. Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA

4. Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA

Abstract

Summary Objective: To summarize significant research contributions on managing pandemics with health informatics published in 2020. Methods: An extensive search using PubMed and Scopus was conducted to identify peer-reviewed articles published in 2020 that examined health informatics systems used during the global COVID-19 pandemic. The selection process comprised three steps: 1) 15 candidate best papers were first selected by the two section editors; 2) external reviewers from internationally renowned research teams reviewed each candidate best paper; and 3) the final selection of three best papers was conducted by the editorial committee of the International Medical Informatics Association (IMIA) Yearbook. Results: Selected best papers represent the important and diverse ways that health informatics supported clinical and public health responses to the global COVID-19 pandemic. Selected papers represent four groups of papers: 1) Use of analytics to screen, triage, and manage patients; 2) Use of telehealth and remote monitoring to manage patients and populations; 3) Use of EHR systems and administrative systems to manage internal operations of a hospital or health system; and 4) Use of informatics methods and systems by public health authorities to capture, store, manage, and visualize population-level data and information. Conclusion: Health informatics played a critical role in managing patients and populations during the COVID-19 pandemic. Health care and public health organizations both leveraged available information systems and standards to rapidly identify cases, triage infected individuals, and monitor population trends. The selected best papers represent a fraction of the body of knowledge stemming from COVID-19, most of which is focused on pandemic response. Future work will be needed to help the world recover from the pandemic and strengthen the health information infrastructure in preparation for the next pandemic.

Publisher

Georg Thieme Verlag KG

Subject

General Medicine

Reference18 articles.

1. Leveraging Data Visualization and a Statewide Health Information Exchange to Support COVID-19 Surveillance and Response: Application of Public Health Informatics;B E Dixon;J Am Med Inform Assoc,2021

2. Leveraging Informatics and Technology to Support Public Health Response: Framework and Illustrations using COVID-19;J Snowdon;Online J Public Health Inform,2021

3. Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study;A K Clift;BMJ,2020

4. Clinical decision support tool and rapid point-of-care platform for determining disease severity in patients with COVID-19;M P McRae;Lab Chip 2020 Jun 21

5. Managing COVID-19 With a Clinical Decision Support Tool in a Community Health Network: Algorithm Development and Validation;M P McRae;J Med Internet Res,2020

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Decade of Health Information Technology and the Impact on Health Care in the U.S.: Systematic Review (Preprint);2024-04-25

2. Analytics and intelligence for public health surveillance;Modernizing Global Health Security to Prevent, Detect, and Respond;2024

3. Health Informatics for Contact Tracing in a Pandemic Response: A Perspective;2023 International Conference on Computational Science and Computational Intelligence (CSCI);2023-12-13

4. Information practices in data analytics for supporting public health surveillance;Journal of the Association for Information Science and Technology;2023-11-15

5. Digital Biobanking and Big Data as a New Research Tool: A Position Paper;Healthcare;2023-06-22

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