Most U.S. Doctors Are Quietly Using This AI Tool. Few Patients Know About It

Key Takeaways

• OpenEvidence used in 65% of U.S. doctors' April encounters.
• Roughly 650,000 U.S. physicians actively rely on the AI tool.
• 60% of queries focus on clinical decision‑making.
• AI generates discharge notes and custom exam study aids.
• Adoption growth described as exponential by leading physicians.

Pulse Analysis

Artificial intelligence has moved from experimental pilots to everyday clinical aides, and OpenEvidence exemplifies that shift. Launched in 2024, the chatbot‑style platform answers physicians’ questions in seconds, drawing on a curated medical literature base and real‑time guideline updates. In April 2026 the service logged roughly 27 million encounters, reaching about 65 % of U.S. doctors, according to company data shared with NBC News. Its rapid uptake mirrors broader trends where clinicians seek instant, evidence‑based counsel to complement traditional peer consultation, especially as electronic health records become more data‑rich.

The tool’s primary draw is decision‑support; roughly 60 % of the 90 million queries analyzed by Harvard’s Dr. Anupam Jena target treatment choices for specific patient profiles. By delivering tailored recommendations, OpenEvidence can shorten diagnostic cycles, reduce unnecessary testing, and free physicians to focus on bedside interaction. Yet the reliance on algorithmic advice raises questions about transparency, liability, and potential bias in the underlying datasets. Hospitals are beginning to draft policies that require clinicians to document AI‑assisted recommendations and obtain patient awareness where appropriate.

From a market perspective, OpenEvidence’s penetration signals a lucrative niche for AI vendors willing to meet strict healthcare compliance standards. Investors are watching the platform’s expansion as a bellwether for future funding rounds in clinical‑AI startups. The technology also reshapes medical education, offering students on‑demand study tools and simulated case reviews that mirror board‑exam preparation. As more providers integrate such assistants into workflow, competition will intensify, prompting innovations in explainable AI, integration with existing EHR systems, and perhaps the emergence of industry‑wide standards for AI‑driven clinical guidance.