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NYU Langone Health has partnered with OpenEvidence to embed its AI-powered clinical evidence platform directly into Epic EHR workflows across its entire system. Clinicians can now ask complex medical questions in natural language and get answers grounded in peer-reviewed literature — all without leaving the patient chart. A recent JAMA study found nearly 1 million U.S. clinicians submitted 271 million AI-enabled queries through OpenEvidence in just 2.5 years.
NYU Langone Health has partnered with OpenEvidence to integrate its AI-powered clinical decision support platform directly into Epic EHR workflows — spanning hospitals, ambulatory sites, and family health centers across the system. Clinicians can now pose complex clinical questions in natural language and receive responses grounded in peer-reviewed medical literature, cross-referenced against the individual patient's record, without ever leaving the chart.
The move deepens OpenEvidence's already significant presence in New York City, where it has existing enterprise deployments at NewYork-Presbyterian, Mount Sinai, and a precision oncology partnership with Memorial Sloan Kettering. The company reports that roughly two-thirds of U.S. physicians now use its platform, with 1.2 million verified clinicians logging 45 million queries in October alone.
By the Numbers:
Why it matters: As AI tools become embedded in EHR workflows at major academic medical centers, they're shifting from novelty to standard clinical infrastructure — raising important questions about how AI is shaping medical decision-making at scale.
