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The new hands-free feature integrates seamlessly into a physician’s daily routine, providing evidence-based answers on the go and marking a significant step in clinical decision support.
OpenEvidence, a leading provider of AI-powered medical search solutions, has introduced a voice AI feature called Voice Mode. This innovation allows physicians to ask questions and receive evidence-based answers without needing their hands, enhancing workflow efficiency. The feature is now live across OpenEvidence’s web and mobile applications and is available free of charge for all users.
Voice Mode is a native speech-to-speech medical AI interface that OpenEvidence claims makes it the first multimodal medical AI offering for clinical decision support. This feature enables physicians to interact with the platform while on rounds, moving between rooms, or even charting one-handed during phone calls.
Daniel Nadler, founder and CEO of OpenEvidence, shared insights into the development and reception of Voice Mode. "Clinicians have been effusively positive about Voice Mode," Nadler said. "They can ask questions while commuting or walking around the hospital, and some have even mentioned using it in the shower to get high-yield, succinct answers about challenging cases."
To use Voice Mode, a clinician simply taps the orange waveform icon, asks a question, and receives a concise spoken answer. The responses are drawn from trusted sources such as the New England Journal of Medicine, JAMA, Cochrane, and NCCN guidelines.
The integration of Voice Mode addresses a critical need in healthcare: providing timely, accurate information to busy physicians. Nadler emphasized that building a medical AI involves two key components: intelligence and interface. "We've spent years refining the intelligence," he said. "With Voice Mode, we're advancing the interface to better match the realities of practicing medicine."

OpenEvidence's platform has already seen significant adoption among healthcare professionals. The company reports that there are now 860,000 medical licensed-verified U.S. Clinicians, including nurses, nurse practitioners, and physician assistants, using its AI-powered medical search engine and generative AI chatbot. These tools summarize and simplify evidence-based medical information, making it more accessible to healthcare providers.
OpenEvidence's recent success includes a $250 million Series D funding round, reflecting investor confidence in the company's growth and impact. The new voice AI feature further solidifies OpenEvidence's position as a leader in AI-powered clinical decision support tools.
For investors, the launch of Voice Mode represents an important milestone. It not only enhances user experience but also expands the platform's utility across various healthcare settings. As the demand for efficient and accurate medical information continues to grow, OpenEvidence is well-positioned to capture a larger share of the market.
The company’s ability to innovate and adapt to the needs of healthcare professionals underscores its potential for sustained growth. Investors should watch how Voice Mode is adopted by users and whether it leads to increased engagement and broader adoption of OpenEvidence's suite of tools.
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OpenEvidence launches hands-free voice AI feature, expands hospital footprint with Cedars-Sinai tie-up
↗ https://www.fiercehealthcare.com/ai-and-machine-learning/openevidence-launches-hands-free-voice-ai-feature-expands-hospital
About the author
Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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22 May 2026
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