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.

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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
Controls
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article

Protocol for human evaluation of generative artificial intelligence chatbots in clinical consultations

Tom Wai‐Hin Chung, Edwin Kwan-Yeung Chiu
3 citations
PLoS ONE
Artificial Intelligence in Healthcare and Education
1.96
article

Protocol for human evaluation of generative artificial intelligence chatbots in clinical consultations

Tom Wai‐Hin Chung, Edwin Kwan-Yeung Chiu
article en
3 citations

Abstract

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.

PLoS ONEVol. 20(3)
University of Hong Kong (HK)
Openalex Percentile: Top 12%
Artificial Intelligence in Healthcare and Education
1.96
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Protocol for human evaluation of generative artificial intelligence chatbots in clinical consultations — Tom Wai‐Hin Chung, Edwin Kwan-Yeung Chiu · PLoS ONE (2025) | TGRS Research Map | TGRS