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

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作者：
Laura C. Schubel
Deliya B. Wesley
Ethan Booker
John Lock
Raj M. Ratwani
机构：
[1] MedStar Health National Center for Human Factors in Healthcare,
[2] MedStar Health Research Institute,undefined
[3] MedStar Telehealth Innovation Center,undefined
[4] MedStar Health,undefined
来源：
npj Digital Medicine | / 4卷
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摘要：
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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