OpenEvidence

by OpenEvidence  · Based in United States → — America's Official Medical Knowledge Platform.
Family Medicine Hospital Medicine Internal Medicine
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Free for verified u.s. healthcare professionals.

Overview

OpenEvidence is an AI-powered application and clinical decision-support platform designed for healthcare professionals. It enables physicians to ask natural language questions and receive immediate, fully referenced answers grounded in peer-reviewed medical evidence from authoritative sources such as the New England Journal of Medicine, JAMA, NCCN, and Cochrane. The platform’s mission is to organize and expand global medical knowledge, ensuring clinicians can access the latest breakthrough discoveries at the point of care. Described as an “AI copilot for doctors,” it assists in making high-stakes clinical decisions. Beyond its core search capabilities, OpenEvidence also offers “OpenEvidence Visits,” a clinical documentation tool that transcribes patient visits, auto-generates structured medical notes, and provides real-time clinical decision support.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered natural language question answering for clinical queries
  • Answers grounded in peer-reviewed medical evidence (NEJM, JAMA, NCCN, Cochrane, PubMed)
  • Fully referenced answers with transparent sourcing to primary studies and guidelines
  • Clinical decision support at the point of care for high-stakes decisions
  • OpenEvidence Visits: transcribe patient visits and auto-generate structured medical notes
  • Real-time clinical decision support integrated into documentation workflows
  • Integrates with Electronic Health Record (EHR) systems like Epic
  • Official AI Partner of The New England Journal of Medicine, JAMA, NCCN, and Cochrane
  • Mobile application available on iOS and Android
  • High accuracy and reliability, trained exclusively on trusted medical literature

Use Cases

  • Conducting deep research for complex medical cases
  • Preparing for medical presentations and academic discussions
  • Answering point-of-care questions with evidence-based recommendations
  • Identifying evidence-backed treatment options and validating differential diagnoses
  • Transcribing patient visits and generating comprehensive clinical documentation
  • Cross-checking clinical decisions against the latest guidelines and trials

What Physicians Need to Know

Evidence Base
OpenEvidence provides answers grounded in peer-reviewed literature from major medical journals such as NEJM, JAMA, Nature, NCCN, and Cochrane. It draws from over 35 million peer-reviewed papers and more than 300 medical journals, as well as FDA and CDC sources. The platform is designed to summarize evidence, highlight the strength and direction of findings, and translate evidence into actionable clinical suggestions.
Clinical Validation Studies
Early evaluations suggest OpenEvidence provides useful evidence-supported answers, particularly in structured tasks. A 2025 study on osteoarticular infections found OpenEvidence answered 94.4% of guideline-derived questions correctly. However, accuracy can vary in complex clinical scenarios, and studies have shown it often reinforces rather than alters clinical decisions. A December 2025 preprint evaluating OpenEvidence on complex subspecialty scenarios found accuracy rates of 41% for 'Deep Consult' and 34% for 'Quick Consult'. A systematic review in August 2026 noted that while OpenEvidence generates evidence-supported responses and avoids fabricated citations, its rapid adoption outpaces the available research.
Alert Fatigue Management
While OpenEvidence itself is not described as generating alerts that contribute to alert fatigue, the broader context of clinical decision support systems highlights the importance of managing alert volume and relevance to prevent desensitization. AI can potentially help by tuning existing alert systems to reduce low-value alerts.
Drug Interaction Checking
OpenEvidence does not natively calculate drug dosing or check drug interactions, nor does it have drug database integration. Other tools like UpToDate or DynaMed are suggested for these capabilities.
Differential Diagnosis Support
OpenEvidence can assist with differential diagnosis by providing candidates that clinicians might not have considered. Clinicians use it to expand their differential diagnoses and verify the science behind treatment choices. It uses curated evidence sources and probabilistic reasoning to generate differential diagnoses and suggested diagnostic steps.
Guideline Update Frequency
OpenEvidence's platform updates in real-time as new research is published. It also partners with medical societies, such as the American Academy of Otolaryngology–Head and Neck Surgery Foundation (AAO-HNSF), to continuously monitor emerging literature and flag guideline recommendations for review when new evidence supports revisions.
Clinical Workflow Integration
OpenEvidence integrates with health systems through enterprise partnerships, embedding directly into EHR systems like Epic. This allows clinicians to launch OpenEvidence directly from the EHR, often with automatic sign-in and access to relevant patient context. Integrations are designed to provide in-workflow evidence retrieval without leaving point-of-care tools. OpenEvidence also supports mobile apps for iOS and Android.
Decision Audit Trail
OpenEvidence provides transparency by citing sources for every conclusion or recommendation, allowing users to inspect underlying citations. While the platform logs queries, the availability of detailed audit trails for organizational use depends on the specific enterprise agreement and administrative controls.
Physician Tip

Always verify the evidence cited by OpenEvidence and apply it critically to the specific patient context. While the tool is designed to provide evidence-based answers, it often reinforces existing clinical decisions rather than changing them. Be aware that its accuracy can vary in complex subspecialty scenarios. Do not use OpenEvidence for interpreting diagnostic images like ECGs or X-rays, as it is not FDA-cleared for such purposes and can produce substantial errors. Avoid uploading Protected Health Information (PHI) unless your organization has a Business Associate Agreement (BAA) with OpenEvidence and your organization's policies authorize such disclosure. Remember that you, the clinician, remain responsible for medical-legal purposes.

OpenEvidence integrates with health systems through negotiated enterprise partnerships, embedding directly into EHR systems like Epic. These integrations are built by OpenEvidence for each partner and are not available as a public EHR SDK. Recent integrations include Sutter Health, Mount Sinai, Cedars-Sinai, Memorial Sloan Kettering, Northwestern Medicine, UTMB, and OneOncology. There is no public developer API for OpenEvidence. OpenEvidence also collaborates with Microsoft to integrate its technology across Microsoft clinical applications, starting with the Dragon Copilot ambient platform.

Details

Category Clinical Decision Support & Reference, Documentation & Scribing
Pricing Free for verified u.s. healthcare professionals.
Free TrialUnknown
DeploymentCloud, Mobile App
Mobile App1
API AvailableUnknown
TrainingUnknown
Compliance
BAA Available Yes AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status Unknown
SOC 2 Yes AI-estimated
GDPR No AI-estimated
Integrations
EHR Not specified
Specialties Family Medicine, Hospital Medicine, Internal Medicine

Support & Reliability

Training ProvidedUnknown

What the Web Says

I am sorry, but I cannot provide a summary, pros, cons, sources, or overall sentiment for "OpenEvidence" based on the provided URL. The URL redirects to a Google Cloud Vertex AI Search page, which is a platform for building search applications, not a specific product called "OpenEvidence" with readily available reviews from the requested categories.

Overall: Unknown

Limitations

No significant limitations found in public reviews. Consider checking vendor documentation or requesting a demo for a thorough evaluation.

Last updated: 2026-10-29

Ratings & Reviews

No reviews yet. Be the first to review this tool!

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Clinical Value
Ease of Use
Integration
Support & Docs
Value for Money

Press & Coverage

rootsanalysis.com
OpenEvidence raised USD 250 million in January 2026 at a USD 12 billion valuation for its AI medical knowledge platform.
OpenEvidence secured $250 million in funding in January 2026, achieving a $12 billion valuation, to advance its AI medical knowledge platform. This investment highlights strong support for specialized platforms that offer trusted content and encourage physician adoption in the healthcare AI market.
2026-01
rootsanalysis.com
Wiley's March 2026 partnership with OpenEvidence made journal and reference evidence available through a clinical AI platform.
In March 2026, Wiley partnered with OpenEvidence to integrate its journal and reference evidence into OpenEvidence's clinical AI platform. This collaboration aims to enhance the accessibility of trusted medical content for clinicians using AI tools.
2026-03
fqhctalent.com
OpenEvidence, the free AI tool most U.S. doctors already use.
OpenEvidence is highlighted as a widely adopted free AI tool among U.S. doctors, indicating its significant presence and utility in clinical practice. The article discusses its role in healthcare AI alongside other technological advancements and regulatory considerations.
2026-10
dsmedia.pro
Anthropic and OpenEvidence united to implement medical AI worldwide.
Anthropic and OpenEvidence have formed a partnership to globally deploy medical AI solutions. This collaboration aims to expand the reach and impact of AI in healthcare across different regions.
2026-09
minterellison.com
Elsevier Health has partnered with OpenEvidence to create the AI model 'ClinicalKey AI'.
Elsevier Health collaborated with OpenEvidence to develop 'ClinicalKey AI,' an AI model specifically designed as a clinical decision support tool for treating clinicians. This tool provides secure access to medical content and can account for patient context.
2024-04
pulseit.news
Elsevier launched ClinicalKey AI at the end of February and was showing it off at HIMSS, explaining the importance of the need for high-quality evidence-based clinical content.
Elsevier unveiled ClinicalKey AI at HIMSS in late February, emphasizing its foundation in high-quality, evidence-based clinical content. This launch showcased the collaboration with OpenEvidence to integrate AI into clinical decision support.
2024-03
mycocoon.life
OpenEvidence AI clinical decision-support tool that answers medical questions with cited evid…
OpenEvidence is described as an AI clinical decision-support tool that provides answers to medical questions, backed by cited evidence. It is positioned as a tool for builders seeking a Perplexity-style workflow.
unknown

Videos

Product demos, reviews, and walkthroughs for OpenEvidence.

View all on YouTube

Frequently Asked Questions

OpenEvidence is an AI-powered clinical decision support tool that generates responses to point-of-care questions using large language models trained exclusively on peer-reviewed medical literature. It draws from trusted sources like PubMed, major guidelines, and has content partnerships with organizations such as NEJM, JAMA, and NCCN. Every statement is linked to primary studies or guidelines, allowing physicians to validate the evidence.
Yes, OpenEvidence is HIPAA compliant and will sign a Business Associate Agreement (BAA) with covered entities. They have implemented stringent security measures and organizational safeguards to protect Protected Health Information (PHI) and have achieved SOC 2 Type II certification. However, users are responsible for ensuring their inputs comply with applicable laws, including HIPAA.
OpenEvidence has limitations, including its inability to create actionable recommendations tailored to specific patient scenarios or integrate complex patient information for personalized care plans. It does not currently cover core bedside tasks such as differential diagnosis generation or drug dosing. While it performs well on standardized medical knowledge tests, independent research indicates accuracy limitations in complex subspecialty scenarios.
Several alternatives exist, each with different strengths. Glass Health combines ambient scribing and clinical decision support. UpToDate offers expert-authored, curated content. ClinicalKey AI includes EHR integration and AI-powered answers. EvidenceMD provides transparent reasoning with a chain-of-thought, a ranked differential diagnosis, and an AI medical scribe. Other alternatives include DynaMed, AMBOSS, and Dr. Oracle.
OpenEvidence is free for verified U.S. healthcare professionals who have a National Provider Identifier (NPI). It operates on an ad-supported model rather than subscriptions. Enterprise pricing is available for health system EHR integration and advanced features.

Compare OpenEvidence

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OpenEvidence focuses on providing immediate, evidence-based answers and documentation support to healthcare professionals, acting as a knowledge platform. UpDoc Inc., while also offering clinical decision support, is an…
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OpenEvidence and Doximity Ask are highly comparable, both offering AI-powered clinical decision support and documentation features for verified U.S. healthcare professionals. OpenEvidence emphasizes its direct grounding in peer-reviewed…
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OpenEvidence and Kahun are highly comparable as both offer AI-powered clinical decision support for physicians, focusing on evidence-based insights. OpenEvidence emphasizes immediate, referenced answers from literature and documentation…
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OpenEvidence vs Coding Intelligence (OpenEvidence Visits)
Clinical Decision Support & Reference Direct · 85/100
These two tools are highly comparable as they are both offerings from OpenEvidence, targeting U.S. healthcare professionals with free, AI-powered clinical decision support. While 'OpenEvidence' focuses broadly on…

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Suggest an Edit → | Report an issue | Last Verified: 2026-04-18 | First Added: 2026-04-18

Investors who backed OpenEvidence

Funded through the company that built this tool.

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