OpenEvidence Reaches 860,000 Clinicians and Adds Voice Mode as Cedars-Sinai Joins Growing Hospital Roster
The AI clinical decision-support platform launches hands-free voice queries and signs Cedars-Sinai as its third major health system enterprise partner in two months.
Overview
OpenEvidence, the AI-powered clinical decision-support platform that fields over one million medical queries per day, announced on May 20 that Cedars-Sinai has deployed it systemwide — its third major health system enterprise partnership in under two months. The Los Angeles-based medical center joins Mount Sinai Health System, which signed OpenEvidence’s first enterprise agreement on March 31, and Sutter Health, which also adopted the platform enterprise-wide. Separately, OpenEvidence launched Voice Mode, a hands-free speech-to-speech interface that lets clinicians ask clinical questions and receive spoken, evidence-based answers without touching a screen, available free to all users across web and mobile.
What We Know
The Cedars-Sinai Deployment
According to the Cedars-Sinai newsroom, the platform is available enterprise-wide to physicians, nurses, pharmacists, and therapists across the system, which serves approximately 1 million patients annually. Rather than a phased rollout, the system went all-in immediately. As Dr. Shaun Miller, Chief Health Informatics Officer at Cedars-Sinai, told HIT Consultant: “We opted for an enterprise-wide rollout to ensure equitable access and gather broad feedback across specialties.”
The integration links peer-reviewed medical literature to individual patient records in real time, drawing on diagnoses, comorbidities, active medications, allergies, and lab data to contextualize responses. As Dr. Miller noted in the Cedars-Sinai press release, the tool enables clinicians “to look at the latest medical evidence in the context of a patient’s medical history.” Patient information is used only to contextualize the active clinical session and is not stored or used to train OpenEvidence’s models, according to HIT Consultant.
Cedars-Sinai plans to extend the platform further by incorporating its own proprietary care pathways, operational protocols, and best practices into the enterprise workspace, per the Cedars-Sinai press release. A specialized committee of data scientists, clinical experts, and administrative leaders audits all AI systems before deployment.
Mouneer Odeh, Chief Data and Artificial Intelligence Officer at Cedars-Sinai, described the broader organizational intent: “We see artificial intelligence as an opportunity to rethink how we deliver care and run our operations,” according to the Cedars-Sinai press release.
Mount Sinai: The First Enterprise Deal
The Cedars-Sinai deal follows the milestone Mount Sinai agreement, which Becker’s Hospital Review reported was OpenEvidence’s first enterprise agreement with a health system. Mount Sinai, a seven-hospital academic network in New York City, embedded the platform directly into its Epic EHR, extending access to all physicians, registered nurses, and pharmacists.
Dr. Girish Nadkarni, Chief AI Officer at Mount Sinai, described the reasoning in a statement covered by Becker’s Hospital Review: “By embedding OpenEvidence directly into the clinical workflow, we are equipping every member of the care team with real-time access to rigorously sourced, evidence-based insights.”
Nicholas Gavin, Vice President and Chief Clinical Innovation Officer at Mount Sinai, framed the deal in equity terms, according to HIT Consultant: “Implementing OpenEvidence provides our pharmacists, nurses, and physicians with a unified, trusted platform for evidence-based decision-making. Our partnership… is a vital step in democratizing access to the latest clinical evidence for every member of the Mount Sinai care team.”
Daniel Nadler, CEO and Founder of OpenEvidence, called it a first of its kind, per HIT Consultant: “This agreement is our first to expand access to the entire care team, including all Mount Sinai nurses and pharmacists.”
Voice Mode
Alongside the Cedars-Sinai announcement, OpenEvidence launched Voice Mode — a hands-free interface allowing clinicians to ask clinical questions and receive spoken, evidence-based answers without touching a screen, according to PYMNTS. The feature is available on web and mobile applications and is free to all users on the platform.
Dr. Ania Bilski, VP of Clinical AI at OpenEvidence, explained the practical need in a statement carried by PYMNTS: “When I’m in the ED, I’m never at a workstation when I actually need an answer.”
Nadler described the intent, according to PYMNTS, as advancing “the interface to match the everyday reality of practicing medicine.”
Platform Scale and Growth
The platform now reaches 860,000 licensed and verified U.S. clinicians and handles over one million clinical questions per day across more than 10,000 hospitals and medical centers nationwide, according to PYMNTS. Digital Health News reported that the platform was used by approximately 65% of U.S. physicians across nearly 27 million clinical encounters in April.
The company raised $250 million in a Series D round in January at a $12 billion valuation, co-led by Thrive Capital and DST Global, per financial data compiled by Sacra. Total funding stands at nearly $700 million. Investors include GV, Kleiner Perkins, Sequoia Capital, Coatue, Thrive Capital, DST Global, Blackstone, and Mayo Clinic. Revenue grew from $7.9 million in 2024 to $150 million annualized by 2025, a 1,803% year-over-year increase, according to Sacra.
What We Don’t Know
OpenEvidence has not disclosed terms of the Cedars-Sinai or Mount Sinai enterprise agreements, nor the pricing structure for health system licenses versus the free ad-supported physician tier. The company has not publicly announced a timeline for integrating the new Voice Mode directly into EHR systems; current deployment is through standalone web and mobile apps. The exact number of clinicians with access under each enterprise deal has not been disclosed by the health systems.
Analysis
The rapid succession of enterprise deployments — Mount Sinai in late March, Sutter Health, and now Cedars-Sinai within two months — marks a structural shift from the pilot-phase approach that has stalled many health AI rollouts. All three health systems are reported by PYMNTS to have deployed enterprise-wide without pilot programs, a notable departure from the cautious, phased approach typical of hospital technology procurement.
The decision to extend access beyond physicians to nurses and pharmacists is also significant. Nursing and pharmacy staff handle a substantial share of clinical decision points — drug interaction checks, dosing adjustments, protocol lookups — that currently require navigating external resources. According to HLTH, the integration addresses the “last mile” problem by embedding AI directly into existing Epic workflows, eliminating the need to navigate external systems like PubMed during patient care.
The launch of Voice Mode reflects a recognition that the keyboard-and-screen paradigm is poorly suited to clinical environments. Emergency departments, operating rooms, and patient floors are inherently mobile, and a hands-free interface removes the friction that makes digital tools impractical mid-procedure or mid-round. As PYMNTS noted, the feature is free for all users, which positions it as a standard-tier capability rather than a premium upsell.
The overall picture is of a platform that has moved from physician-facing search tool to institutional infrastructure at major academic medical centers within roughly a year of its rapid growth phase.