Clinician Usage of OpenEvidence AI Grows Significantly

A study shows over 950,000 clinicians processed 271 million queries through the AI platform since early 2024.

Updated on Oct. 15, 2026 in Nutrition

Isometric editorial illustration of abstract medical diagnostic modules with data pathways, representing healthcare professional integration of AI tools. — A new study reveals that nearly one million clinicians utilized the OpenEvidence AI platform for over 270 million medical queries through 2026. AI Illustration. Upload story photo >

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Would you trust a medical AI tool to assist in your clinical treatment and management decisions?

Between January 2024 and June 2026, over 952,000 clinicians with verified National Provider Identifiers utilized the OpenEvidence platform for 271 million queries. Data released on October 15, 2026, indicates that monthly active users reached 703,265 by the end of the study period.

Why it matters

The high utilization and retention rates demonstrate how AI tools are becoming integrated into the daily workflows of healthcare professionals. These platforms are increasingly used for clinical decision-making, particularly regarding patient treatment and management.

Active users grew from 355 in January 2024 to 703,265 in June 2026, while average queries per user rose from 18 to 39.5. Physician users totaled 556,200, with 61.8% of their queries originating from graduates within 10 years of medical school.

The players

OpenEvidence

This organization provides an AI-driven search platform designed to assist clinicians in accessing verified medical evidence.

JAMA

This is a peer-reviewed medical journal published by the American Medical Association that covers all aspects of the biomedical sciences.

The details

Researchers analyzed query logs to find that treatment and management topics accounted for 33.1% of physician search volume. Nurse practitioners and physician assistants were particularly active, averaging 44.5 queries per user-month compared to 37.1 for physicians.

January 2024 marked the start of the study period for OpenEvidence query analysis.
June 2026 served as the end of the study period for OpenEvidence query analysis.
October 15, 2026, was the date the JAMA study results were published.

The Big Picture

The adoption of the OpenEvidence platform follows a pattern of digital tool integration designed to support clinical workflows. This trend aligns with initiatives from the National Academy of Medicine's Clinician Well-Being Collaborative to improve resource accessibility for healthcare providers.

The widespread adoption of these tools suggests that clinicians are increasingly relying on AI to refine treatment plans and diagnostic accuracy. Patients may experience more evidence-based decision-making during office visits as providers leverage digital search support.

The takeaway

The rapid growth in AI usage indicates a significant shift toward digital assistance in evidence-based medicine. Clinicians should verify that these tools are integrated with their hospital-approved protocols to ensure patient safety.