Johns Hopkins Medicine Partners With OpenEvidence to Advance AI in Medical Education and Clinical Care

The collaboration will explore how evidence-based AI can support clinical decision-making, improve access to medical knowledge, and prepare physicians to work in an increasingly AI-enabled healthcare environment.

Johns Hopkins Medicine has partnered with OpenEvidence to develop artificial intelligence (AI) solutions for clinical care and medical education, with a focus on integrating medical evidence, patient histories, and clinical best practices into healthcare workflows.

The collaboration will explore how evidence-based AI can support clinical decision-making, improve access to medical knowledge, and prepare physicians to work in an increasingly AI-enabled healthcare environment. The organizations are in the early stages of defining the specific capabilities and use cases they will develop.

Sara Murray, chief medical informatics and AI officer at Johns Hopkins Medicine, said the partnership will identify high-impact clinical applications and evaluate their effects on clinical decision-making, care quality, and patient outcomes.

The organizations aim to move beyond standalone medical information tools toward AI systems integrated into clinical workflows, allowing physicians to access and apply relevant medical evidence in the context of individual patient needs.

AI to Reshape Medical Education

The partnership will also examine how medical schools can adapt their curricula as AI tools become more widely used in healthcare. Johns Hopkins plans to work with OpenEvidence on an education model that emphasizes pathophysiology, evidence-based medicine, clinical reasoning, diagnosis, and patient communication.

Sanjay Desai, vice dean for education at Johns Hopkins Medicine, said academic institutions have a responsibility to study the implications of AI adoption and ensure that physicians retain the competencies required for safe and effective practice.

Desai highlighted concerns about cognitive offloading, in which clinicians may become overly reliant on AI systems. The collaboration will examine which medical competencies can be supported by AI, which require human judgment, and how training programs can mitigate the risks of overreliance on technology.

AI could also support more personalized medical education by identifying gaps in students' clinical experience, providing simulations, and directing additional training where needed. Desai said the technology could help shift medical education from a time-based model toward competency-based assessments that measure whether trainees have mastered essential skills.

OpenEvidence Expands Its Healthcare Partnerships

OpenEvidence operates an AI-powered clinical decision support platform and medical search engine for healthcare professionals. According to the company, its user base included 1.12 million verified U.S. medical professionals as of September 2026, including physicians, nurses, nurse practitioners, and physician assistants.

The company has expanded its presence through partnerships with healthcare organizations, including Mount Sinai Health System, Cedars-Sinai Health System, Penn Medicine, NewYork-Presbyterian, AdventHealth, and Northwestern Medicine.

OpenEvidence founder and CEO Daniel Nadler confirmed that the Johns Hopkins collaboration includes research and development and product collaboration, while declining to disclose commercial arrangements.

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