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This paper is in the following e-collection/theme issue:

Chatbots and Conversational Agents (1210) Consumer & Patient Education and Shared-Decision Making (1296) Innovations and Technology for Cancer Prevention and Screening (272) Patient Education for Cancer (332) Precision Medicine and Genetics (107) New Technologies (167)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73391, first published .
Woman looking at laptop screen displaying "Cancer Genetics" and DNA helix

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

Authors of this article:

Yang Yi1, 2 Author Orcid Image ;   Lauren Kaiser-Jackson2 Author Orcid Image ;   Jemar R Bather3, 4 Author Orcid Image ;   Melody S Goodman3, 4 Author Orcid Image ;   Daniel Chavez-Yenter5, 6 Author Orcid Image ;   Richard L Bradshaw7 Author Orcid Image ;   Rachelle Lorenz Chambers8 Author Orcid Image ;   Whitney F Espinel2 Author Orcid Image ;   Rachel Hess9, 10 Author Orcid Image ;   Devin M Mann11 Author Orcid Image ;   Rachel Monahan8, 11 Author Orcid Image ;   David W Wetter9, 12 Author Orcid Image ;   Ophira Ginsburg13 Author Orcid Image ;   Meenakshi Sigireddi8 Author Orcid Image ;   Kensaku Kawamoto7 Author Orcid Image ;   Guilherme Del Fiol7 Author Orcid Image ;   Saundra S Buys2, 10 Author Orcid Image ;   Kimberly A Kaphingst1, 2 Author Orcid Image
Article Authors Cited by (8) Tweetations (2) Metrics

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
  4. Zayhowski K, Blumen K, Mittendorf K, Pratt R, Berro T, Streed C, MacFarlane I. Healthcare professional perspectives on hereditary breast cancer risk assessment prior to gender-affirming mastectomy. Breast Cancer Research and Treatment 2026;218(2) View
  5. Park S, Kim Y, Katapodi M, Kim S. Development and Usability Testing of an Information Needs‐Based Chatbot for Individuals With Pathogenic Variants in BRCA Genes in Korea: A Methodological Study. Journal of Genetic Counseling 2026;35(4) View
  6. Monaci M, Cattelino E, Scacchi L, Guerra A, Vezzetti E. From Risk Visualization to Human-Centred Interfaces: A Scoping Review of Digital Technologies for Risk Communication. Applied Sciences 2026;16(18):9058 View
  7. Liu X, Yan H, Wang W, Xie Y, Jiaying L, Ma D, Wang L, Ning L. From information tools to clinical agents: A scoping review of the application of chatbots across the hereditary cancer counseling pathway. DIGITAL HEALTH 2026;12 View
  8. Daley N, Griswold A, Moreno L, Floyd A, Duong D, Solomon B, Waikel R. Artificial Intelligence‐Based Chatbots in Genetic Counseling Practice: Current Uptake, Utilization, and Perspectives. Journal of Genetic Counseling 2026;35(5) View