Protocol for human evaluation of generative artificial intelligence chatbots in clinical consultations
A standardised, healthcare-specific, universal prompt template is developed to elicit clinically impactful AI responses. Generated responses will be graded by two panels of practicing clinicians, encompassing a wide spectrum of domain expertise in clinical microbiology and virology, as well as infectious diseases. Evaluations will be performed using a 5-point Likert scale across four clinical domains: factual consistency, comprehensiveness, coherence, and medical harmfulness. Our study will offer insights into the feasibility, limitations, and boundaries of GenAI in clinical consultations, providing guidance for future research and clinical implementation. Ethical guidelines and safety guardrails should be developed to uphold patient safety and clinical standards.
Authors
- Tom Wai‐Hin Chung (ORCID: https://orcid.org/0000-0003-1780-821X)
- Edwin Kwan-Yeung Chiu (ORCID: https://orcid.org/0000-0003-1644-491X)
Institutions
- University of Hong Kong (HK)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-03-19
- DOI
- https://doi.org/10.1371/journal.pone.0300487
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.96