Evidence-Based Health Informatics as the Foundation for the COVID-19 Response: A Joint Call for Action

Author:

Fernandez-Luque Luis1,Kushniruk Andre W.2,Georgiou Andrew3,Basu Arindam4,Petersen Carolyn5,Ronquillo Charlene6,Paton Chris78,Nøhr Christian9,Kuziemsky Craig E.10,Alhuwail Dari1112,Skiba Diane13,Huesing Elaine14,Gabarron Elia15,Borycki Elizabeth M.2,Magrabi Farah3,Denecke Kerstin16,Peute Linda W. P.17,Topaz Max18,Al-Shorbaji Najeeb19,Lacroix Paulette20,Marcilly Romaric21,Cornet Ronald17,Gogia Shashi B.22,Kobayashi Shinji23,Iyengar Sriram24,Deserno Thomas M.25,Mettler Tobias26,Vimarlund Vivian27,Zhu Xinxin28

Affiliation:

1. Adhera Health Inc., Palo Alto, California, United States

2. School of Health Information Science, University of Victoria, Victoria, Canada

3. Australian Institute of Health Innovation, Macquarie University, Macquarie, New South Wales, Australia

4. School of Health Sciences, University of Canterbury, Christchurch, New Zealand

5. Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, United States

6. Daphne Cockwell School of Nursing, Ryerson University, Ryerson, Toronto, Canada

7. Department of Information Science, University of Otago, Dunedin, New Zealand

8. Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom

9. Centre for Health Informatics and Technology, Maersk McKinney Moller Institute, University of Southern Denmark, Denmark

10. Office of Research Services, MacEwan University, Edmonton, AB, Canada

11. Department of Information Science, Kuwait University, Kuwait

12. Health Informatics Unit, Dasman Diabetes Institute, Kuwait

13. University of Colorado, Denver, Colorado, United States

14. IMIA CEO

15. Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway

16. Institute for Medical Informatics, Bern University of Applied Sciences, Bern, Switzerland

17. Medical Informatics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands

18. Columbia University Medical Center, Data Science Institute, Columbia University, Columbia, United States

19. Amman, Jordan

20. University of Victoria, Victoria, Canada

21. Univ. Lille, Inserm, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France

22. Society for Administration of Telemedicine and Healthcare Informatics, New Delhi, India

23. National Institute of Public Health, Japan

24. The University of Arizona, Arizona, United States

25. Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Braunschweig, Germany

26. Swiss Graduate School of Public Administration, University of Lausanne, Lausanne, Switzerland

27. Department of Computer and Information Science (IDA), School of Engineering and Technology, Linköping University, Linköping, Sweden

28. Center for Biomedical Data Science, Yale University, New Haven, Connecticut, United States

Abstract

Abstract Background As a major public health crisis, the novel coronavirus disease 2019 (COVID-19) pandemic demonstrates the urgent need for safe, effective, and evidence-based implementations of digital health. The urgency stems from the frequent tendency to focus attention on seemingly high promising digital health interventions despite being poorly validated in times of crisis. Aim In this paper, we describe a joint call for action to use and leverage evidence-based health informatics as the foundation for the COVID-19 response and public health interventions. Tangible examples are provided for how the working groups and special interest groups of the International Medical Informatics Association (IMIA) are helping to build an evidence-based response to this crisis. Methods Leaders of working and special interest groups of the IMIA, a total of 26 groups, were contacted via e-mail to provide a summary of the scientific-based efforts taken to combat COVID-19 pandemic and participate in the discussion toward the creation of this manuscript. A total of 13 groups participated in this manuscript. Results Various efforts were exerted by members of IMIA including (1) developing evidence-based guidelines for the design and deployment of digital health solutions during COVID-19; (2) surveying clinical informaticians internationally about key digital solutions deployed to combat COVID-19 and the challenges faced when implementing and using them; and (3) offering necessary resources for clinicians about the use of digital tools in clinical practice, education, and research during COVID-19. Discussion Rigor and evidence need to be taken into consideration when designing, implementing, and using digital tools to combat COVID-19 to avoid delays and unforeseen negative consequences. It is paramount to employ a multidisciplinary approach for the development and implementation of digital health tools that have been rapidly deployed in response to the pandemic bearing in mind human factors, ethics, data privacy, and the diversity of context at the local, national, and international levels. The training and capacity building of front-line workers is crucial and must be linked to a clear strategy for evaluation of ongoing experiences.

Publisher

Georg Thieme Verlag KG

Subject

Health Information Management,Advanced and Specialized Nursing,Health Informatics

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