OpenEvidence

by OpenEvidence  · Based in United States →America's Official Medical Knowledge Platform
Family Medicine Hospital Medicine Internal Medicine

Free

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 aggregates, synthesizes, and delivers clinically relevant evidence dynamically, grounded in peer-reviewed literature and major guidelines. It utilizes an AI platform, specifically a Large Language Model (LLM) trained for medicine, to generate evidence-based answers that are always sourced and cited. Content partnerships include NEJM Group, JAMA Network, NCCN, Wiley, and Cochrane, providing access to full-text articles, figures, tables, and multimedia content. The platform supports over 160 medical specialties and more than 1,000 diseases and therapeutic areas.
Clinical Validation Studies
Retrospective analyses have shown promising alignment with physician decisions in chronic disease cases, with high scores for clarity, relevance, evidence support, and satisfaction. Early evaluations in primary care indicate that OpenEvidence provides clear, relevant answers that often reinforce physician judgment. While it scored highly on USMLE-type questions, a pilot study on complex medical subspecialty scenarios revealed lower accuracy and repeatability, underscoring the need for expert oversight. Prospective trials, such as the PRECISE trial (NCT07037940) and another study (NCT07199231) evaluating its use by residents in real-world settings, are underway to provide more rigorous validation.
Alert Fatigue Management
While not explicitly detailed as a feature, OpenEvidence's design to provide concise, synthesized, and referenced summaries of complex medical information, integrated directly into the clinical workflow, aims to reduce the cognitive burden on clinicians. This approach implicitly helps manage information overload, which can contribute to alert fatigue, by delivering relevant insights rather than just raw data or generic warnings.
Override Rate Data
Specific override rate data is not publicly available. However, retrospective studies suggest that OpenEvidence's recommendations often reinforce existing clinician decisions rather than causing changes, which could imply a low override rate.
Drug Interaction Checking
OpenEvidence offers real-time multi-drug interaction checking with severity levels, immediately identifying and flagging risky drug combinations to support safer prescribing decisions.
Differential Diagnosis Support
The platform can analyze deidentified patient history and current presentation to provide possible diagnoses and management plans. It is considered strong for generating evidence-based differential diagnoses, helping clinicians quickly formulate informed opinions, identify contraindications, and refine treatment plans using integrated clinical evidence.
Guideline Update Frequency
OpenEvidence provides access to continuously updated medical guidelines and research. It partners with medical societies, such as the American Academy of Otolaryngologyu2013Head and Neck Surgery Foundation (AAO-HNSF), to systematically evaluate guideline recommendations against current medical literature. This methodology flags specific recommendations for review when new evidence emerges, ensuring that guidance remains accurate and relevant without waiting for traditional, multi-year review cycles.
Clinical Workflow Integration
OpenEvidence is designed for seamless integration into clinical workflows, supporting EHR integration (including Epic and Cerner via HL7 FHIR APIs, SMART on FHIR, and CDS Hooks), context recall, and minimal disruption. Its 'Visits' feature provides real-time evidence surfacing, transcription, and note drafting assistance during patient encounters. The platform offers mobile (iOS/Android) and web access, includes built-in clinical calculators, and provides workflow modules for order-set recommendations, discharge summaries, and clinical trial matching. Recent features like 'Dotflows' and 'Coding Intelligence' (CPT, E/M, ICD-10 suggestions) further embed it into documentation. It also features an AI-integrated doctor dialer for communications with real-time decision support.
Decision Audit Trail
OpenEvidence prioritizes transparency and accountability. Every conclusion or recommendation is accompanied by citations, allowing users to inspect underlying sources, read abstracts, and verify methodologies. A secure audit trail records the data and references used, as well as the derivation of suggestions, enabling clinicians to understand and trace the reasoning behind recommendations in real-time and retrospectively.
Physician Tip

Leverage OpenEvidence as a real-time 'brain extender' to quickly access synthesized, evidence-based answers and validate your clinical decisions at the point of care. Utilize the 'Visits' feature for efficient documentation and real-time evidence surfacing during patient encounters. Always review the provided citations to verify the evidence, especially for complex or nuanced cases, as the tool is designed to augment, not replace, clinical judgment. Explore features like drug interaction checking, differential diagnosis support, and clinical trial matching to enhance patient safety and care planning. Engage with the platform's follow-up questions to deepen your understanding and explore alternative perspectives. Remember that while the tool is continuously updated, your critical appraisal of the evidence remains paramount.

OpenEvidence is actively pursuing deep integration with major Electronic Health Record (EHR) systems like Epic and Cerner, utilizing standards such as HL7 FHIR APIs, SMART on FHIR, and CDS Hooks to embed its capabilities directly into existing clinical workflows. Collaborations with partners like Microsoft (for Dragon Copilot) and Tandem (for prescribing and prior authorizations) highlight its strategy to become a seamless part of the clinician's daily toolkit, moving beyond a standalone reference tool to an in-workflow system. The platform also supports mobile applications for verified healthcare professionals.

Details

Category Clinical Decision Support & Reference, Documentation & Scribing
Pricing Free
  • Free for verified U.S
  • healthcare professionals; enterprise pricing models available for EHR integration and data insights subscriptions for pharmaceutical companies, device manufacturers, and payers
DeploymentCloud-based (web application) and mobile applications
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated
Integrations
EHR Not specified
Specialties Family Medicine, Hospital Medicine, Internal Medicine

What the Web Says

OpenEvidence is an AI-powered platform designed to assist healthcare professionals, particularly in legal and medical-legal contexts, by rapidly analyzing medical records and research. It aims to streamline the process of extracting key information, identifying relevant medical literature, and generating summaries for case preparation and clinical decision support. The platform emphasizes efficiency and accuracy in navigating complex medical data.

Overall: Positive

Strengths

  • Significantly reduces time spent on manual medical record review.
  • Enhances accuracy in identifying relevant information and medical literature.
  • Useful for legal teams in medical malpractice and personal injury cases.
  • Aids physicians in preparing for expert witness testimony.
  • Improves efficiency in clinical decision support by quickly accessing evidence.
  • User-friendly interface for navigating complex medical data.

Limitations

  • Reliance on AI may lead to concerns about potential biases or inaccuracies if not properly validated.
  • Integration with existing healthcare IT systems might be a challenge for some organizations.
  • Cost of the platform could be a barrier for smaller practices or individual users.
  • Requires a learning curve for users to fully leverage all features.
  • Limited information available on specific physician reviews or large-scale adoption rates.
  • Potential for over-reliance on the AI without critical human oversight.

Based on reviews from: OpenEvidence Website, Google Cloud AI Search Documentation, Legal Technology News, Healthcare IT Today, AI in Healthcare Industry Reports

Last updated: 2026-07-18

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Videos

Product demos, reviews, and walkthroughs for OpenEvidence.

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Frequently Asked Questions

OpenEvidence functions as an AI copilot, providing real-time, evidence-based answers to clinical questions by synthesizing information from peer-reviewed literature and guidelines. It can be accessed via web or mobile app and is designed to integrate into EHR workflows, allowing clinicians to quickly find and apply the latest medical evidence at the point of care.
Yes, OpenEvidence is fully HIPAA compliant, including the Privacy, Security, and Breach Notification Rules, and has achieved SOC 2 Type II certification. For U.S. covered entities, Protected Health Information (PHI) can be securely input in accordance with a Business Associate Agreement (BAA), which OpenEvidence provides.
Common alternatives include UpToDate, DynaMed, ClinicalKey, Epocrates, and Vera Health, among others. OpenEvidence differentiates itself by offering AI-driven evidence synthesis, real-time updates, and transparent citation trails, often at no cost to verified U.S. physicians, unlike many subscription-based platforms.
OpenEvidence is currently free for verified U.S. healthcare professionals. The company's revenue model is supported by advertising, rather than direct subscriptions from individual clinicians, making it a cost-effective option for accessing evidence-based medical information.
While powerful, OpenEvidence is primarily designed for individual clinicians and is not intended for business teams or for training on custom organizational data. Additionally, its free access is generally restricted to verified U.S. healthcare professionals, and while it reinforces decisions, prospective trials are needed to fully evaluate its impact in complex or uncertain cases.
OpenEvidence provides answers sourced, cited, and grounded in peer-reviewed medical literature from over 300 medical journals, including official partnerships with The New England Journal of Medicine and JAMA, and content agreements with NCCN and Cochrane. The platform emphasizes transparent citation trails, allowing users to trace information directly to its original source.

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OpenEvidence is an AI copilot for doctors that helps them make high-stakes decisions at the point of care. It is the most widely used medical AI among verified U.S. clinicians, having supported over 200 million AI-powered clinical consultations.

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

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