NYU Langone Integrates AI Into Clinical Workflows
The health system embeds the OpenEvidence platform into Epic, providing clinicians with AI-driven patient data analysis.
Updated on Oct. 29, 2026 in Artificial Intelligence
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NYU Langone Health has integrated the OpenEvidence clinical AI platform into its Epic electronic health record system. This deployment allows clinicians across the hospital system to access agentic AI tools directly within their existing patient care workflows.
Why it matters
By embedding AI into high-volume clinical settings, the initiative aims to scale the application of medical literature and patient data analysis for frontline practitioners. It bridges the gap between research-grade diagnostic tools and practical, real-time medical decision support.
Verified U.S. clinicians performed 45 million queries in October 2026 alone, with 1.2 million users currently on the platform. Usage rates significantly outpace smaller academic samples, though precise latency benchmarks for the integrated Epic workflow are currently unreported.
The players
NYU Langone Health
A New York City-based health system employing over 6,000 physicians and serving millions of annual patient visits.
OpenEvidence
An AI platform used by roughly two-thirds of U.S. physicians to bridge medical literature with clinical practice.
Epic
The primary electronic health record software system used by hospitals to manage patient data and clinical workflows.
The details
The platform functions as an agentic clinical AI—an autonomous system capable of executing complex tasks—that retrieves and synthesizes patient records alongside peer-reviewed medical literature. It connects directly to the Epic electronic health record, a software suite that manages patient information and billing, to allow natural language queries. This integration aims to provide synthesized insights without requiring doctors to navigate away from the primary patient chart.
Timeline
January 2024 to June 2026: Clinicians submitted 271 million queries via the platform.
October 2026: Verified U.S. clinicians performed 45 million total queries.
The Tech Race
This integration follows a broader industry trend of bringing generative AI tools into the Epic electronic health record system. While many health systems currently utilize standalone research prototypes, this deployment at NYU Langone pushes toward full-scale clinical adoption.
Physicians at NYU Langone can now utilize the platform across hospitals, ambulatory networks, and Family Health Centers. Patients may encounter the effects through more data-informed care, though the platform remains a support tool for, rather than a replacement of, clinical judgment.
The takeaway
The deployment demonstrates the transition of AI from research labs to high-volume clinical environments serving over 12 million annual patient visits. Observers should track subsequent peer-reviewed findings on whether this integration reduces the administrative or diagnostic burden on hospital staff.
Further reading
For more on how hospitals are modernizing diagnostic tools, explore our Artificial Intelligence coverage.
Source note: This article includes information reported by FierceHealth.
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