Product Spotlight: Elsevier

ClinicalKey AI: Bringing Clarity to Clinical Questions

Medical librarians know the promise of AI, but also its pitfalls. Many tools leave questions about accuracy, bias, and source transparency. ClinicalKey AI was built to address those concerns.

What Makes ClinicalKey AI different?

• Evidence-based foundation: Each response draws from Elsevier’s trusted content and other reputable third-party sources, including peer-reviewed journals, clinical guidelines, and authoritative reference works.
• Verifiable answers: ClinicalKey AI uses a retrieval-augmented generation (RAG) approach, pairing multiple large language models with advanced search to summarize relevant evidence. Responses include linked citations, so clinicians can verify sources and connect to your library’s holdings via OpenURL link resolver.
• Human oversight: Licensed clinicians across major medical specialties regularly review query-directed responses to assess for accuracy, completeness, and clinical relevance using a rigorous framework published in JAMIA Open.
• Bias mitigation and security: Built with safeguards to help mitigate bias and protect user data, ClinicalKey AI reflects Elsevier’s commitment to responsible innovation.

Why It Matters for Your Organization

ClinicalKey AI can help clinicians make quick, informed decisions at the point of care—optimizing productivity and supporting evidence-based practice. By recommending ClinicalKey AI, you empower your institution with a reliable, clinically-aligned AI solution designed to enhance decision-making through technology and innovation.

Learn more and request a demo or trial.

Visit our website for a deeper dive into the technology and human oversight behind ClinicalKey AI and request an institutional demo or trial.