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Leveraging conversational technology to answer common COVID-19 questions.
McKillop, Mollie; South, Brett R; Preininger, Anita; Mason, Mitch; Jackson, Gretchen Purcell.
  • McKillop M; IBM Watson Health, Cambridge, Massachusetts, USA.
  • South BR; IBM Watson Health, Cambridge, Massachusetts, USA.
  • Preininger A; IBM Watson Health, Cambridge, Massachusetts, USA.
  • Mason M; IBM Watson Health, Cambridge, Massachusetts, USA.
  • Jackson GP; IBM Watson Health, Cambridge, Massachusetts, USA.
J Am Med Inform Assoc ; 28(4): 850-855, 2021 03 18.
Artículo en Inglés | MEDLINE | ID: covidwho-1066365
ABSTRACT
The rapidly evolving science about the Coronavirus Disease 2019 (COVID-19) pandemic created unprecedented health information needs and dramatic changes in policies globally. We describe a platform, Watson Assistant (WA), which has been used to develop conversational agents to deliver COVID-19 related information. We characterized the diverse use cases and implementations during the early pandemic and measured adoption through a number of users, messages sent, and conversational turns (ie, pairs of interactions between users and agents). Thirty-seven institutions in 9 countries deployed COVID-19 conversational agents with WA between March 30 and August 10, 2020, including 24 governmental agencies, 7 employers, 5 provider organizations, and 1 health plan. Over 6.8 million messages were delivered through the platform. The mean number of conversational turns per session ranged between 1.9 and 3.5. Our experience demonstrates that conversational technologies can be rapidly deployed for pandemic response and are adopted globally by a wide range of users.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Educación en Salud / Comunicación / COVID-19 Límite: Humanos Idioma: Inglés Revista: J Am Med Inform Assoc Asunto de la revista: Informática Médica Año: 2021 Tipo del documento: Artículo País de afiliación: Jamia

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Educación en Salud / Comunicación / COVID-19 Límite: Humanos Idioma: Inglés Revista: J Am Med Inform Assoc Asunto de la revista: Informática Médica Año: 2021 Tipo del documento: Artículo País de afiliación: Jamia