Details

Autor(en) / Beteiligte

• Luca, Stephanie
• Clausen, Marc
• Shaw, Angela
• Lee, Whiwon
• Krishnapillai, Suvetha
• Adi-Wauran, Ella
• Faghfoury, Hanna
• Costain, Gregory
• Jobling, Rebekah
• Aronson, Melyssa
• Liston, Eriskay
• Silver, Josh
• Shuman, Cheryl
• Chad, Lauren
• Hayeems, Robin Z.
• Bombard, Yvonne

Titel

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

Ist Teil von

• Human genetics, 2023-03, Vol.142 (3), p.321-330

Ort / Verlag

Berlin/Heidelberg: Springer Berlin Heidelberg

Erscheinungsjahr

2023

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.