OpenEvidence

OpenEvidence has introduced a voice-enabled artificial intelligence feature for its medical search engine, giving physicians a hands-free method to ask clinical questions and receive evidence-based responses.

The new feature, called Voice Mode, functions as a speech-to-speech medical AI interface. According to the company, it is the first multimodal medical AI system designed specifically for clinical decision support. The feature is already available in OpenEvidence’s web and mobile applications at no additional cost to users.

The company said clinicians can use Voice Mode while moving between patient rooms, making rounds, walking near operating rooms or multitasking during clinical documentation.

In an interview, Daniel Nadler said feedback from beta users had been overwhelmingly favorable. He explained that physicians reported using the feature while commuting or walking through hospitals, with some even turning to it at home for concise, high-value clinical insights on difficult patient cases.

To access the feature, physicians tap an orange waveform icon, ask a medical question and receive a short spoken response. OpenEvidence said these answers are generated using the same evidence base that powers its platform, including publications and guidelines from the New England Journal of Medicine and others.

Nadler explained that developing medical AI requires both strong intelligence and a practical interface. He suggested that while OpenEvidence had spent years refining its underlying medical reasoning system, Voice Mode represents an effort to better match how clinicians actually practice medicine day to day.

OpenEvidence originally built an AI-powered medical search engine and generative chatbot exclusively for physicians to simplify evidence-based medical data. Nadler said that the platform now serves about 860,000 verified U.S. clinicians, with more than 650,000 licensed physicians among them.

The company has also grown rapidly financially. In January, OpenEvidence secured $250 million in Series D funding, taking its valuation to $12 billion. That followed a $200 million Series C round in October and a $210 million Series B raise in July, bringing total fundraising over the last year to roughly $700 million.

OpenEvidence now reportedly handles more than 1 million clinical questions daily and is used every day by a majority of physicians in the U.S., spanning more than 10,000 hospitals and medical centers. The company has expanded beyond clinical search into adjacent workflows, positioning it in closer competition with products such as UpToDate by Wolters Kluwer and Elsevier Clinical Solutions.

In August, OpenEvidence launched Visits, an AI assistant for transcribing patient encounters. The company also broadened access to an AI-powered physician dialer and, in March, introduced a medical coding tool that automatically suggests Current Procedural Terminology (CPT) codes and evaluation and management (E/M) levels.

The company said Voice Mode is intended to help clinicians who are away from computer screens. Spoken responses are designed to be concise and optimized for listening, while written transcripts and source references remain accessible for verification. 

Users can interrupt responses to clarify questions or pause microphone input in noisy settings. Physicians who prefer voice dictation without audio replies can instead use a microphone tool to convert speech into text searches.

Introduction to OpenEvidence Voice AI

OpenEvidence has announced an innovative hands-free voice AI feature aimed at transforming how medical professionals interact with healthcare data. The latest OpenEvidence update enables doctors and clinical staff to access important medical information using simple voice commands without needing to manually search through systems.

The new OpenEvidence voice AI functionality is designed to improve efficiency in hospitals, clinics, and healthcare environments where speed and accuracy are critical. By introducing voice-enabled AI tools, OpenEvidence continues expanding its role in modern healthcare technology.

How OpenEvidence Voice AI Works

The OpenEvidence hands-free voice AI feature allows users to ask clinical questions verbally and receive real-time AI-generated responses. Healthcare professionals can quickly retrieve treatment guidelines, drug information, research summaries, and patient-related insights while keeping their hands free during medical procedures or consultations.

This OpenEvidence feature uses advanced natural language processing and medical AI models to deliver fast and accurate responses. The company believes that voice interaction will reduce administrative burdens and help clinicians focus more on patient care.

 

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