LAUSR

A barrier to incorporating genomics more broadly is limited access to providers with genomics expertise. Chatbots are a technology‐based simulated conversation used in scaling communications. Geisinger and Clear Genetics, Inc. have developed chatbots to facilitate communication with participants receiving clinically actionable genetic variants from the MyCode® Community Health Initiative (MyCode®). The consent chatbot walks patients through the consent allowing them to opt to receive more or less detail on key topics (goals, benefits, risks, etc.). The follow‐up chatbot reminds participants of suggested actions following result receipt and the cascade chatbot can be sent to at‐risk relatives by participants to share their genetic test results and facilitate cascade testing. To explore the acceptability, usability, and understanding of the study consent, post‐result follow‐up and cascade testing chatbots, we conducted six focus groups with MyCode® participants. Sixty‐two individuals participated in a focus group (n = 33 consent chatbot, n = 29 follow‐up and cascade chatbot). Participants were mostly female (n = 42, 68%), Caucasian (n = 58, 94%), college‐educated (n = 33,53%), retirees (n = 38, 61%), and of age 56 years or older (n = 52, 84%). Few participants reported that they knew what a chatbot was (n = 10, 16%), and a small number reported that they had used a chatbot (n = 5, 8%). Qualitative analysis of transcripts and notes from focus groups revealed four main themes: (a) overall impressions, (b) suggested improvements, (c) concerns and limitations, and (d) implementation. Participants supported using chatbots to consent for genomics research and to interact with healthcare providers for care coordination following receipt of genomic results. Most expressed willingness to use a chatbot to share genetic information with relatives. The consent chatbot presents an engaging alternative to deliver content challenging to comprehend in traditional paper or in‐person consent. The cascade and follow‐up chatbots may be acceptable, user‐friendly, scalable approaches to manage ancillary genetic counseling tasks.