Solving AI Transparency Challenges in Healthcare Data - with Rhett Alden of Elsevier

Today’s guest is Rhett Alden, Chief Technology Officer at Elsevier. Elsevier is a global leader in information analytics and academic publishing, providing trusted scientific, technical, and medical content for researchers, clinicians, and professionals. Rhett joins us on today’s show to discuss how Elsevier is tackling hallucinations in AI frameworks to deliver reliable, peer-reviewed medical and scientific information. Alden explains how retrieval-augmented generation (RAG) models differ from large language models (LLMs), ensuring that AI-generated responses are grounded in verifiable, high-quality sources. He shares how Elsevier integrates precision, completeness, bias mitigation, and harm reduction into its evaluation framework, providing transparency for clinicians who depend on AI-assisted insights. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!