OpenEvidence
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
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
|
| Deployment | Cloud-based (web application) and mobile applications |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown 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: PositiveStrengths
- 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.
Why Doctors Say OpenEvidence Is A u2018Game Changeru2019
Bloomberg Television
Are yu2019all using Open Evidence? #healthcareprofessionals
Amani Jambhekar MD, MBA, FACS
Need help writing patient handouts or discharge instructions? Let OpenEvidence help!
OpenEvidence
The AI Product Going Viral With Doctors: OpenEvidence, with CEO Daniel Nadler
Sequoia Capital
How to prompt in OpenEvidence AI for evidence-based clinical decision-making
Tanisha Jowsey
OpenEvidence Features
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Investors who backed OpenEvidence
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