Utilisation of AI-driven chatbots for perioperative health information seeking: a descriptive qualitative study of orthopaedic patients and family members
AI-driven chatbots offer a promising adjunct to perioperative patient education by delivering immediate, tailored guidance that overcomes the limitations of conventional search engines and busy clinical settings. Study participants valued chatbots' efficient, context-sensitive retrieval, professional-level advice and non-judgmental interactions, which fostered trust and reduced anxiety. Effective prompting emerged as a key user skill, directly shaping response relevance and accuracy. Chatbot-generated health information should be regularly reviewed for accuracy. Structured tutorials may be offered for user capacity building.
Authors
- Zhao Deng (ORCID: https://orcid.org/0000-0002-0008-5759)
- Qiang Fu (ORCID: https://orcid.org/0000-0002-3232-4224)
- Chun Pu (ORCID: https://orcid.org/0000-0001-6487-299X)
- Tao Chen (ORCID: https://orcid.org/0000-0003-0023-1610)
- Wenjing Zhang (ORCID: https://orcid.org/0000-0002-3716-6800)
- Qiang Li (ORCID: https://orcid.org/0000-0002-7526-0849)
- Yong Chen (ORCID: https://orcid.org/0000-0002-8377-5914)
- Jin‐Dong Yang (ORCID: https://orcid.org/0000-0001-7351-2152)
Institutions
- Dalian Medical University (CN)
- Third People's Hospital of Chengdu (CN)
- Second Affiliated Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- BMJ Open
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1136/bmjopen-2025-099824
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31