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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73391, first published .
Bridging Technology and Pretest Genetic Services: Quantitative Study of Chatbot Interaction Patterns, User Characteristics, and Genetic Testing Decisions

Bridging Technology and Pretest Genetic Services: Quantitative Study of Chatbot Interaction Patterns, User Characteristics, and Genetic Testing Decisions

Bridging Technology and Pretest Genetic Services: Quantitative Study of Chatbot Interaction Patterns, User Characteristics, and Genetic Testing Decisions

Journals

  1. Del Fiol G, Borsato E, Bradshaw R, Bian J, Woodbury A, Gauchel C, Eilbeck K, Maxwell W, Ellis K, Madeo A, Schlechter C, Kukhareva P, Allen C, Kean M, Elkin E, Sharaf R, Ahsan M, Frey M, Davis-Rivera L, Kohlmann W, Wetter D, Kaphingst K, Kawamoto K. GARDE-Chat: a scalable, open-source platform for building and deploying health chatbots. Journal of the American Medical Informatics Association 2026;33(3):593 View
  2. Davis Rivera L, Mitchell L, Ahsan M, Chandler I, Epstein E, Borsato E, Allen C, Kaphingst K, Bradshaw R, Del Fiol G, Kawamoto K, Madeo A, Sharaf R, Frey M. Cascade Chatbot: A Scalable Approach to Family-Based Genetic Testing for Hereditary Cancer Syndromes. JCO Clinical Cancer Informatics 2026;10(1) View
  3. Keels J, Babicheva V, McDonald I, Witt J, Dwyer A. Optimizing Risk Communication for Lynch Syndrome: Results of a Randomized Controlled Trial of Visual Arrays for Genetic Testing. Cancers 2026;18(9):1369 View