ArticleFrontiers in digital health2026
Interest in patient navigation chatbots: a cross-sectional survey study.
Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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3 authors.
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Abstract
Introduction: Chatbots are accessible and cost-effective tools that may be able to provide navigation support to people who lack access to conventional patient navigation services. To date, little is known about people's interest in using chatbots for patient navigation. It is also unclear what specific types of support people would like to see incorporated into patient navigation chatbots. The purpose of this study was to gain insight into these topics. Methods: Participants were recruited through the Prolific research platform. They completed a cross-sectional survey that captured information on respondent characteristics, general interest in using a patient navigation chatbot, and interest in various navigation support functions. Data were analyzed using descriptive statistics and ANOVA and hierarchical regression statistical tests. Results: A total of 276 participants (141 women; Discussion: The findings from this study will help inform the design and marketing of patient navigation chatbots. The effective implementation of this technology may fill some of the accessibility gaps that characterize conventional patient navigation programs.
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