TY  - BOOK
AU  - Booker, Ethan
AU  - Lock, John
AU  - Ratwani, Raj M
AU  - Schubel, Laura
AU  - Wesley, Deliya B
TI  - Population subgroup differences in the use of a COVID-19 chatbot
SN  - 2398-6352
PY  - 2021///
KW  - IN PROCESS -- NOT YET INDEXED
KW  - MedStar Institute for Innovation
KW  - Digital Transformation
KW  - MedStar Health
KW  - MedStar Telehealth Innovation Center
KW  - National Center for Human Factors in Healthcare
KW  - Journal Article
N2  - 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
UR  - https://dx.doi.org/10.1038/s41746-021-00405-8
ER  -