August 15, 2025Open Access

Retrieval-Augmented Generation (RAG) in Healthcare: A Comprehensive Review

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Comprehensive analysis reveals effective applications of retrieval-augmented generation in electronic health records and diagnostic support.

RAG enhances factual consistency and reduces hallucinations in healthcare applications, addressing key challenges.
This review synthesizes findings from 30 studies, focusing on diagnostic support and medical question answering.
Evaluation strategies were compared, including both standard metrics and clinical-specific measures such as FactScore.
The research highlights the need for reliable, interpretable AI systems to innovate healthcare solutions.

Neha et al. (2025) studied this question.

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Comprehensive analysis reveals effective applications of retrieval-augmented generation in electronic health records and diagnostic support.