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Mount Sinai Integrates OpenEvidence AI Platform into Epic EHR for Enterprise-Wide Clinical Decision Support

by Fred Pennic 04/01/2026 Leave a Comment

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What You Should Know

  • The Deployment: Mount Sinai Health System, one of the nation’s largest academic medical systems, is rolling out OpenEvidence, an AI-powered medical search and clinical decision-support platform, across its enterprise directly into the Epic EHR. 
  • The Strategic Shift: This marks OpenEvidence’s first enterprise-scale deployment that explicitly extends access across the entire clinical care team. Rather than restricting the AI to physicians, Mount Sinai is providing licenses to registered nurses and pharmacists as well.

Expanded Clinical AI to Nurses and Pharmacists

OpenEvidence functions as a highly governed search engine; its answers are strictly sourced, cited, and grounded in peer-reviewed medical literature and clinical guidelines, reducing the risk of AI hallucination. 

Clinicians do not have time to run traditional Boolean searches on PubMed while standing at a patient’s bedside. OpenEvidence allows them to ask complex, highly specific medical questions in natural language. The AI then synthesizes an answer that is strictly grounded in—and directly cites—peer-reviewed medical literature and verified clinical guidelines.

Embedding this capability directly inside Epic enables Mount Sinai to solve  the “last mile” problem of clinical AI. If a pharmacist has to open a new browser tab and log into a separate system to check a drug interaction guideline, they simply won’t use the tool. Embedding the AI directly into the existing workflow ensures immediate, frictionless adoption.

“Implementing OpenEvidence provides our pharmacists, nurses, and physicians with a unified, trusted platform for evidence-based decision-making,” noted Nicholas Gavin, Vice President and Chief Clinical Innovation Officer at Mount Sinai. “Our partnership… is a vital step in democratizing access to the latest clinical evidence for every member of the Mount Sinai care team.”

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