Population subgroup differences in the use of a COVID-19 chatbot.

MedStar author(s):
Citation: Npj Digital Medicine. 4(1):30, 2021 Feb 19.PMID: 33608660Institution: MedStar Institute for InnovationDepartment: Digital Transformation | MedStar Health | MedStar Telehealth Innovation Center | National Center for Human Factors in HealthcareForm of publication: Journal ArticleMedline article type(s): Journal ArticleSubject headings: IN PROCESS -- NOT YET INDEXEDYear: 2021ISSN:
  • 2398-6352
Name of journal: NPJ digital medicineAbstract: 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.All authors: Booker E, Lock J, Ratwani RM, Schubel LC, Wesley DBFiscal year: FY2021Digital Object Identifier: ORCID: Date added to catalog: 2021-03-10
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Journal Article MedStar Authors Catalog Article 33608660 Available 33608660

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.

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