Abstract
AbstractCOVID-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.
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Computer Science Applications,Medicine (miscellaneous)
Reference12 articles.
1. Miner, A. S. et al. Smartphone-based conversational agents and responses to questions about mental health, interpersonal violence, and physical health. JAMA Intern. Med. 176, 619–625 (2016).
2. Miner, A. S., Laranjo, L. & Kocaballi, A. B. Chatbots in the fight against the COVID-19 pandemic. npj Digital Med. 3, 1–4 (2020).
3. National Center for Immunization and Respiratory Diseases (NCIRD), Division of Viral Diseases. Symptoms of coronavirus. https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html (2020).
4. Judson, T. J. et al. Case report: implementation of a digital chatbot to screen health system employees during the COVID-19 pandemic. J. Am. Med. Inform. Assoc. 27, 1450–1455 (2020).
5. Bickmore, T. W., Schulman, D. & Sidner, C. Automated interventions for multiple health behaviors using conversational agents. Patient Educ. Couns. 92, 142–148 (2013).
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献