Generative AI Chatbot for Diabetes Management: Formative 2-Part Qualitative Study Using DTalksBot Involving Patients and Clinicians
Generative AI chatbots showed promise as complementary tools for diabetes self-management by offering accessible, reliable, and tailored support. This formative evaluation provides empirical evidence on how generative AI chatbots can address patient information needs and complement existing health care resources. To maximize utility, future generative AI chatbots need to integrate real-time health data, enhance contextual relevance, and align with clinical workflows to ensure safety, trust, and broader applicability.
Authors
- Hajin Lim (ORCID: https://orcid.org/0000-0002-4746-2144)
- Joonhwan Lee (ORCID: https://orcid.org/0000-0002-3115-4024)
- Esther Hehsun Kim (ORCID: https://orcid.org/0000-0002-9576-4411)
- Seolhee Lee (ORCID: https://orcid.org/0009-0003-3273-4455)
- Jinsu Eun (ORCID: https://orcid.org/0000-0003-3051-7193)
- Soyun Jeon (ORCID: https://orcid.org/0009-0001-2223-0021)
- Kwangwon Lee
Institutions
- Seoul National University (KR)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-09-29
- DOI
- https://doi.org/10.2196/72553
- Citations
- 2
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 5.63