Assessing the accuracy and quality of artificial intelligence (AI) chatbot-generated responses in making patient-specific drug-therapy and healthcare-related decisions
ChatGPT is not ready to take on the coaching role for either healthcare learners or healthcare professionals. The lack of consistency in the responses to the same question is problematic for both learners and decision-makers. The intrinsic assumptions made by the chatbot could lead to erroneous clinical decisions. The unreliability in providing valid references is a serious flaw in using ChatGPT to drive clinical decision making.
Authors
- Abigail Winter (ORCID: https://orcid.org/0000-0003-2095-0989)
- Taixiong Zheng (ORCID: https://orcid.org/0000-0003-1605-7573)
- Lingtak‐Neander Chan (ORCID: https://orcid.org/0000-0002-5428-9685)
- Leigh Ann Mike
- Mekonnen Sisay Shiferaw
Institutions
- Seattle Pacific University (US)
- University of Washington (US)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-12-24
- DOI
- https://doi.org/10.1186/s12911-024-02824-5
- Citations
- 41
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 4.93