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Evidence-Based Health Informatics as the Foundation for the COVID-19 Response: A Joint Call for Action.
Fernandez-Luque, Luis; Kushniruk, Andre W; Georgiou, Andrew; Basu, Arindam; Petersen, Carolyn; Ronquillo, Charlene; Paton, Chris; Nøhr, Christian; Kuziemsky, Craig E; Alhuwail, Dari; Skiba, Diane; Huesing, Elaine; Gabarron, Elia; Borycki, Elizabeth M; Magrabi, Farah; Denecke, Kerstin; Peute, Linda W P; Topaz, Max; Al-Shorbaji, Najeeb; Lacroix, Paulette; Marcilly, Romaric; Cornet, Ronald; Gogia, Shashi B; Kobayashi, Shinji; Iyengar, Sriram; Deserno, Thomas M; Mettler, Tobias; Vimarlund, Vivian; Zhu, Xinxin.
  • Fernandez-Luque L; Adhera Health Inc., Palo Alto, California, United States.
  • Kushniruk AW; School of Health Information Science, University of Victoria, Victoria, Canada.
  • Georgiou A; Australian Institute of Health Innovation, Macquarie University, Macquarie, New South Wales, Australia.
  • Basu A; School of Health Sciences, University of Canterbury, Christchurch, New Zealand.
  • Petersen C; Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, United States.
  • Ronquillo C; Daphne Cockwell School of Nursing, Ryerson University, Ryerson, Toronto, Canada.
  • Paton C; Department of Information Science, University of Otago, Dunedin, New Zealand.
  • Nøhr C; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
  • Kuziemsky CE; Centre for Health Informatics and Technology, Maersk McKinney Moller Institute, University of Southern Denmark, Denmark.
  • Alhuwail D; Office of Research Services, MacEwan University, Edmonton, AB, Canada.
  • Skiba D; Department of Information Science, Kuwait University, Kuwait.
  • Huesing E; Health Informatics Unit, Dasman Diabetes Institute, Kuwait.
  • Gabarron E; University of Colorado, Denver, Colorado, United States.
  • Borycki EM; IMIA CEO.
  • Magrabi F; Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.
  • Denecke K; School of Health Information Science, University of Victoria, Victoria, Canada.
  • Peute LWP; Australian Institute of Health Innovation, Macquarie University, Macquarie, New South Wales, Australia.
  • Topaz M; Institute for Medical Informatics, Bern University of Applied Sciences, Bern, Switzerland.
  • Al-Shorbaji N; Medical Informatics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Lacroix P; Columbia University Medical Center, Data Science Institute, Columbia University, Columbia, United States.
  • Marcilly R; Amman, Jordan.
  • Cornet R; University of Victoria, Victoria, Canada.
  • Gogia SB; Univ. Lille, Inserm, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France.
  • Kobayashi S; Medical Informatics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Iyengar S; Society for Administration of Telemedicine and Healthcare Informatics, New Delhi, India.
  • Deserno TM; National Institute of Public Health, Japan.
  • Mettler T; The University of Arizona, Arizona, United States.
  • Vimarlund V; Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Braunschweig, Germany.
  • Zhu X; Swiss Graduate School of Public Administration, University of Lausanne, Lausanne, Switzerland.
Methods Inf Med ; 59(6): 183-192, 2020 12.
Article in English | MEDLINE | ID: covidwho-1223130
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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Medical Informatics / Evidence-Based Practice / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Limits: Humans Language: English Journal: Methods Inf Med Year: 2020 Document Type: Article Affiliation country: S-0041-1726414

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Medical Informatics / Evidence-Based Practice / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Limits: Humans Language: English Journal: Methods Inf Med Year: 2020 Document Type: Article Affiliation country: S-0041-1726414