CC BY-NC-ND 4.0 · Yearb Med Inform 2021; 30(01): 069-074
DOI: 10.1055/s-0041-1726504
Special Section: Managing Pandemics with Health Informatics
Synopsis

Managing Pandemics with Health Informatics

Brian E. Dixon
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
,
John H. Holmes
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
,
Section Editors for the IMIA Yearbook Section on Managing Pandemics with Health Informatics › Author Affiliations

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.



Publication History

Article published online:
03 September 2021

© 2021. IMIA and Thieme. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 
  • References

  • 1 Dixon BE, Grannis SJ, McAndrews C, Broyles AA, Mikels-Carrasco W, Wiensch A. et al. Leveraging Data Visualization and a Statewide Health Information Exchange to Support COVID-19 Surveillance and Response: Application of Public Health Informatics. J Am Med Inform Assoc 2021; Jan; ocab004
  • 2 Snowdon J, Kassler W, Karunakaram H, Dixon BE, Rhee K. Leveraging Informatics and Technology to Support Public Health Response: Framework and Illustrations using COVID-19. Online J Public Health Inform 2021; 13 (01) e1
  • 3 Soualmia LF, Fultz Hollis K, Mougin F, Séroussi B. Health Data, Information, and Knowledge Sharing for Addressing the COVID-19. Yearb Med Inform. 2021: 4-7
  • 4 Tilahun B, Gashu KD, Mekonnen ZA, Endehabtu BF, Angaw DA. Mapping the Role of Digital Health Technologies in Prevention and Control of COVID-19 Pandemic: Review of the Literature. Yearb Med Inform. 2021: 26-37
  • 5 Clift AK, Coupland CAC, Keogh RH, Diaz-Ordaz K, Williamson E, Harrison EM. et al. Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study. BMJ 2020; 371: m3731
  • 6 McRae MP, Simmons GW, Christodoulides NJ, Zhibing L, Kang SK, Fenyo D. et al. Clinical decision support tool and rapid point-of-care platform for determining disease severity in patients with COVID-19. Lab Chip 2020 Jun 21 20 (12) 2075-85
  • 7 McRae MP, Dapkins IP, Sharif I, Anderman J, Fenyo D, Sinokrot O. et al. Managing COVID-19 With a Clinical Decision Support Tool in a Community Health Network: Algorithm Development and Validation. J Med Internet Res 2020; 22 (08) e22033
  • 8 Vaid A, Somani S, Russak AJ, De Freitas JK, Chaudhry FF, Paranjpe I. et al. Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation. J Med Internet Res 2020; 22 (11) e24018
  • 9 Diallo G, Bordea G. Public Health and Epidemiology Informatics: Recent Research Trends. Yearb Med Inform. 2021: 280-2
  • 10 Hackl WO, Hoerbst A. Clinical Information Systems Research in the Pandemic Year 2020. An overview of the CIS Section of the IMIA Yearbook of Medical Informatics. Yearb Med Inform. 2021: 134-40
  • 11 Borbolla D, Ficheur G. Clinical Decision Support Systems and Computerized Provider Order Entry: Contributions from 2020. Yearb Med Inform. 2021: 172-5
  • 12 Lonergan PE, Washington Iii SL, Branagan L, Gleason N, Pruthi RS, Carroll PR. et al. Rapid Utilization of Telehealth in a Comprehensive Cancer Center as a Response to COVID-19: Cross-Sectional Analysis. J Med Internet Res 2020; Jul6; 22 (07) e19322
  • 13 Ko SQ, Hooi BMY, Koo CY, Chor DWP, Ling ZJ, Chee Y-L. et al. Remote monitoring of marginalised populations affected by COVID-19: a retrospective review. BMJ Open 2020; 10 (012) e042647
  • 14 Reeves JJ, Hollandsworth HM, Torriani FJ, Taplitz R, Abeles S, Tai-Seale M. et al. Rapid response to COVID-19: health informatics support for outbreak management in an academic health system. J Am Med Inform Assoc 2020; 27 (06) 853-9
  • 15 Gong M, Liu L, Sun X, Yang Y, Wang S, Zhu H. Cloud-Based System for Effective Surveillance and Control of COVID-19: Useful Experiences From Hubei, China. J Med Internet Res 2020; 22 (04) e18948
  • 16 Knighton AJ, Ranade-Kharkar P, Brunisholz KD, Wolfe D, Allen L, Belnap TW. et al. Rapid Implementation of a Complex, Multimodal Technology Response to COVID-19 at an Integrated Community-Based Health Care System. Appl Clin Inform 2020; 11 (05) 825-38
  • 17 Fillmore NR, Elbers DC, La J, Feldmann TC, Sung F-C, Hall RB. et al. An application to support COVID-19 occupational health and patient tracking at a Veterans Affairs medical center. J Am Med Inform Assoc 2020; 27 (011) 1716-20
  • 18 Dixon BE, Caine VA, Halverson PK. Deficient Response to COVID-19 Makes the Case for Evolving the Public Health System. Am J Prev Med 2020; 59: 887-91
  • 19 Garcia M, Lipskiy N, Tyson J, Watkins R, Esser ES, Kinley T. Centers for Disease Control and Prevention 2019 novel coronavirus disease (COVID-19) information management: addressing national health-care and public health needs for standardized data definitions and codified vocabulary for data exchange. J Am Med Inform Assoc 2020; 27 (09) 1476-87
  • 20 Ahmed K, Bukhari MA, Mlanda T, Kimenyi JP, Wallace P, Lukoya CO. et al. Novel Approach to Support Rapid Data Collection, Management, and Visualization During the COVID-19 Outbreak Response in the World Health Organization African Region: Development of a Data Summarization and Visualization Tool. JMIR Public Health Surveill 2020; 6 (04) e20355
  • 21 Franch-Pardo I, Napoletano BM, Rosete-Verges F, Billa L. Spatial analysis and GIS in the study of COVID-19. A review. Sci Total Environ 2020; 739: 140033
  • 22 Coletta MA, Ising A. Syndromic Surveillance: A Practical Application of Informatics. In: Magnuson JA, Dixon BE. editors Public Health Informatics and Information Systems. Cham: Springer International Publishing; 2020: 269-85
  • 23 Dixon B. Applied Public Health Informatics: An eHealth Discipline Focused on Populations. Journal of the International Society for Telemedicine and eHealth 2020; 8: e14(11-8)