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We evaluated OpenEvidence, an AI-powered clinical decision-support platform that synthesizes evidence from peer-reviewed sources like PubMed and NEJM Group guidelines to deliver concise, cited summaries for point-of-care questions. We noted its Visits feature, which integrates real-time evidence surfacing with patient context and transcription assistance directly into clinical workflows, reducing the need to sift through abstracts manually. From a technical standpoint, its transparent inline citations and export capabilities make it a reliable brain extender for physicians handling complex cases across 160 specialties.
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Dr. William Bobos
Dr. William Bobos recommends Open Evidence for Data Analytics use cases. Dr. William Bobos's background in AI tools makes this recommendation especially relevant for scientists seeking AI tools tools.
As a product, OpenEvidence is an AI copilot for doctors that helps them make high-stakes decisions at the point of care. OpenEvidence is the most widely used medical AI among verified U.S. physicians. To date, we have supported over 100 million AI-powered clinical consultations from U.S. doctors and other frontline clinicians. In a remarkably short period of time, OpenEvidence has become the default operating system of medical knowledge in the United States.
Understanding the core functionality and approach of Open Evidence.
Pay-as-you-go pricing means Open Evidence costs scale with your actual usage. No wasted spend on unused seats or features you don't need yet. Usage-based billing keeps costs aligned with real adoption.
Explore the powerful features that make Open Evidence stand out.
Consistent experience across 3 platforms means faster adoption and fewer training needs. Available across Web App, Desktop App, and Mobile App for consistent adoption.
Demo and trial environments let teams experience Open Evidence before committing.
Discover how different audiences leverage Open Evidence for their specific needs.
Configuration stays flexible so teams can tailor it to their operating model. Usage-based billing keeps costs aligned with real adoption.
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Use this page as a starting point to evaluate Open Evidence alongside similar options. Our directory focuses on practical details that matter for adoption—capabilities, pricing signals, integrations, and real audiences—so you can shortlist with confidence and move from exploration to evaluation faster.
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Before adopting any tool, model your total cost at expected usage, verify integration coverage and API quality, and review privacy, security, and compliance. A short pilot on a real workflow will reveal reliability and fit quickly. Bookmark this site to track updates to Open Evidence and the broader ecosystem over time.
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