Chatbots and COVID-19: Taking Stock of the Lessons Learned.
COVID-19
chatbots
health
health care
pandemic
public health
Journal
Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882
Informations de publication
Date de publication:
21 Mar 2024
21 Mar 2024
Historique:
received:
23
11
2023
accepted:
20
12
2023
revised:
20
12
2023
medline:
22
3
2024
pubmed:
21
3
2024
entrez:
21
3
2024
Statut:
epublish
Résumé
While digital innovation in health was already rapidly evolving, the COVID-19 pandemic has accelerated the generation of digital technology tools, such as chatbots, to help increase access to crucial health information and services to those who were cut off or had limited contact with health services. This theme issue titled "Chatbots and COVID-19" presents articles from researchers and practitioners across the globe, describing the development, implementation, and evaluation of chatbots designed to address a wide range of health concerns and services. In this editorial, we present some of the key challenges and lessons learned arising from the content of this theme issue. Most notably, we note that a stronger evidence base is needed to ensure that chatbots and other digital tools are developed to best serve the needs of population health.
Identifiants
pubmed: 38512309
pii: v26i1e54840
doi: 10.2196/54840
pmc: PMC10959167
doi:
Types de publication
Editorial
Langues
eng
Sous-ensembles de citation
IM
Pagination
e54840Subventions
Organisme : World Health Organization
ID : 001
Pays : International
Informations de copyright
©Virginia Arnold, Tina D Purnat, Robert Marten, Andrew Pattison, Hebe Gouda. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 21.03.2024.
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