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Chatbots and COVID-19: Taking Stock of the Lessons Learned.
Arnold, Virginia; Purnat, Tina D; Marten, Robert; Pattison, Andrew; Gouda, Hebe.
Afiliación
  • Arnold V; Department of Social Determinants of Health, Division of UHC Healthier Populations, World Health Organization, Geneva, Switzerland.
  • Purnat TD; Department of Epidemic and Pandemic Preparedness and Prevention, Emergencies Programme, World Health Organization, Geneva, Switzerland.
  • Marten R; University of Memphis School of Public Health, Memphis, TN, United States.
  • Pattison A; Alliance for Health Policy and Systems Research, Science Division, World Health Organization, Geneva, Switzerland.
  • Gouda H; Department of Digital Health and Innovation, Science Division, World Health Organization, Geneva, Switzerland.
J Med Internet Res ; 26: e54840, 2024 Mar 21.
Article en En | MEDLINE | ID: mdl-38512309
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Salud Poblacional / COVID-19 Límite: Humans Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Canadá

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Salud Poblacional / COVID-19 Límite: Humans Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Canadá