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


Journal

Methods of information in medicine
ISSN: 2511-705X
Titre abrégé: Methods Inf Med
Pays: Germany
ID NLM: 0210453

Informations de publication

Date de publication:
12 2020
Historique:
pubmed: 12 5 2021
medline: 23 7 2021
entrez: 11 5 2021
Statut: ppublish

Résumé

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. 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. 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. 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 33975375
doi: 10.1055/s-0041-1726414
pmc: PMC8279811
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

183-192

Informations de copyright

The Author(s). 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/).

Déclaration de conflit d'intérêts

L.F.L. is Chief Scientific Officer and shareholder at Adhera Health Inc (USA). All the other authors report no conflict of interest.

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Auteurs

Luis Fernandez-Luque (L)

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

Andre W Kushniruk (AW)

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

Andrew Georgiou (A)

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

Arindam Basu (A)

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

Carolyn Petersen (C)

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

Charlene Ronquillo (C)

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

Chris Paton (C)

Department of Information Science, University of Otago, Dunedin, New Zealand.
Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.

Christian Nøhr (C)

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

Craig E Kuziemsky (CE)

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

Dari Alhuwail (D)

Department of Information Science, Kuwait University, Kuwait.
Health Informatics Unit, Dasman Diabetes Institute, Kuwait.

Diane Skiba (D)

University of Colorado, Denver, Colorado, United States.

Elia Gabarron (E)

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

Elizabeth M Borycki (EM)

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

Farah Magrabi (F)

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

Kerstin Denecke (K)

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

Linda W P Peute (LWP)

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

Max Topaz (M)

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

Paulette Lacroix (P)

University of Victoria, Victoria, Canada.

Romaric Marcilly (R)

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

Ronald Cornet (R)

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

Shashi B Gogia (SB)

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

Shinji Kobayashi (S)

National Institute of Public Health, Japan.

Sriram Iyengar (S)

The University of Arizona, Arizona, United States.

Thomas M Deserno (TM)

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

Tobias Mettler (T)

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

Vivian Vimarlund (V)

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

Xinxin Zhu (X)

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

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