Finding the sweet spot: a qualitative study exploring patients' acceptability of chatbots in genetic service delivery

Chatbots, web-based artificial intelligence tools that simulate human conversation, are increasingly in use to support many areas of genomic medicine. However, patient preferences towards using chatbots across the range of clinical settings are unknown. We conducted a qualitative study with individuals who underwent genetic testing for themselves or their child. Participants were asked about their preferences for using a chatbot within the genetic testing journey. Thematic analysis employing interpretive description was used. We interviewed 30 participants (67% female, 50% 50 + years). Participants considered chatbots to be inefficient for very simple tasks (e.g., answering FAQs) or very complex tasks (e.g., explaining results). Chatbots were acceptable for moderately complex tasks where participants perceived a favorable return on their investment of time and energy. In addition to achieving this sweet spot, participants anticipated that their comfort with chatbots would increase if the chatbot was used as a complement to but not a replacement for usual care. Participants wanted a safety net (i.e., access to a clinician) for needs not addressed by the chatbot. This study provides timely insights into patients' comfort with and perceived limitations of chatbots for genomic medicine and can inform their implementation in practice.

Automated summary

This study investigated the preferences of individuals who underwent genetic testing for using chatbots. It found that chatbots were considered inefficient for very simple and very complex tasks, but acceptable for moderately complex tasks. Participants also expressed the need for a safety net (access to a clinician) for unaddressed needs. These findings can inform the implementation of chatbots in genomic medicine.