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Population subgroup differences in the use of a COVID-19 chatbot.
Schubel, Laura C; Wesley, Deliya B; Booker, Ethan; Lock, John; Ratwani, Raj M.
Afiliación
  • Schubel LC; MedStar Health National Center for Human Factors in Healthcare, Washington, DC, USA.
  • Wesley DB; MedStar Health Research Institute, Hyattsville, MD, USA.
  • Booker E; MedStar Telehealth Innovation Center, Washington, DC, USA.
  • Lock J; MedStar Health, Columbia, MD, USA.
  • Ratwani RM; MedStar Health National Center for Human Factors in Healthcare, Washington, DC, USA. Raj.M.Ratwani@medstar.net.
NPJ Digit Med ; 4(1): 30, 2021 Feb 19.
Article en En | MEDLINE | ID: mdl-33608660
ABSTRACT
COVID-19 chatbots are widely used to screen for symptoms and disseminate information about the virus, yet little is known about the population subgroups that interact with this technology and the specific features that are used. An analysis of 1,000,740 patients invited to use a COVID-19 chatbot, 69,451 (6.94%) of which agreed to participate, shows differences in chatbot feature use by gender, race, and age. These results can inform future public health COVID-19 symptom screening and information dissemination strategies.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: NPJ Digit Med Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: NPJ Digit Med Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos