OpenEvidence and the American Academy of Ophthalmology Partner to Bridge the Gap Between Evidence and Clinical Eye Care
American Academy of Ophthalmology, the world’s largest association of eye physicians and surgeons, has announced a strategic partnership with OpenEvidence to integrate the Academy’s clinical guidelines directly into an AI-powered clinical decision support environment used widely by physicians in the United States.
The collaboration embeds the Academy’s authoritative resources—including its Preferred Practice Patterns® and Ophthalmic Technology Assessments—into the OpenEvidence platform, enabling ophthalmologists to access guideline-based recommendations alongside peer-reviewed literature in a single, cited, and searchable workflow. Importantly, the integrated content will be made available to ophthalmologists at no cost, supporting broader dissemination of evidence-based clinical standards at the point of care.
Bringing Specialty Clinical Guidelines Into AI-Powered Workflows
The American Academy of Ophthalmology represents more than 32,000 physicians globally and plays a central role in defining standards of care in ophthalmology. Its Preferred Practice Patterns® (PPPs) are among the most widely recognized clinical guidelines in the field, developed through systematic evidence review and updated regularly by subspecialty experts to reflect emerging scientific data and evolving clinical practice.
Through this new partnership, these guidelines will now be directly incorporated into the OpenEvidence AI ecosystem, where physicians already use the platform to search and synthesize medical literature. By embedding structured, specialty-specific guidance into AI-assisted workflows, the collaboration aims to reduce fragmentation in clinical decision-making and ensure that authoritative recommendations are easily accessible during patient care.
The integration also includes the Academy’s Ophthalmic Technology Assessments, which evaluate diagnostic and therapeutic technologies used in ophthalmology. These assessments provide clinicians with evidence-based evaluations of emerging tools and procedures, helping guide adoption of new technologies in clinical settings.
Enhancing Clinical Decision Support With Verified Evidence
OpenEvidence is widely used among physicians in the United States as an AI-driven platform designed to provide cited, verifiable answers based on peer-reviewed medical literature. The platform emphasizes transparency by linking responses directly to published sources, allowing clinicians to trace recommendations back to original evidence.
With the integration of the Academy’s content, ophthalmologists using OpenEvidence will now be able to access both general medical literature and highly curated ophthalmology-specific guidelines in one environment. This unified access is expected to improve efficiency in clinical decision-making while maintaining high standards of evidence validation.
A key feature of the partnership is the platform’s ability to surface relevant Academy guidance contextually alongside broader research findings. This ensures that clinicians are not only accessing the latest scientific literature but also interpreting it through the lens of established specialty standards.
Creating a Two-Way Feedback Loop for Clinical Knowledge
Beyond content integration, the partnership introduces a structured feedback mechanism designed to strengthen the relationship between clinical practice and guideline development.
Under this model, OpenEvidence will provide the American Academy of Ophthalmology with aggregated, high-level insights into usage patterns. These insights will highlight the clinical topics most frequently queried by ophthalmologists, as well as areas where clinicians may be seeking additional guidance or encountering gaps in existing recommendations.
This feedback loop is intended to help the Academy refine and prioritize future updates to its guidelines, ensuring that its clinical resources remain aligned with real-world practice needs. By leveraging anonymized usage data, the Academy gains visibility into emerging trends in clinical decision-making that may not yet be fully captured in published literature.
Leadership Perspectives on Evidence-Based Innovation
Stephen D. McLeod, MD, Chief Executive Officer of the American Academy of Ophthalmology, emphasized that the partnership was selected after careful evaluation of available platforms. He highlighted OpenEvidence’s commitment to rigor, citation transparency, and integration of peer-reviewed research as key factors in the decision.
According to Dr. McLeod, the collaboration represents more than a technical integration of content. It establishes a dynamic system in which clinical practice patterns can inform future guideline development, creating a continuous feedback loop between physicians and the Academy.
He noted that artificial intelligence presents a significant opportunity for the medical profession to better align educational resources with real-time clinical needs. By leveraging usage data and digital workflows, the Academy aims to ensure that its guidelines remain responsive, relevant, and grounded in how ophthalmologists actually practice.
From the perspective of OpenEvidence, the partnership reflects a shared commitment to evidence-based medicine and clinical transparency. Travis Zack, MD, PhD, Chief Medical Officer of OpenEvidence, emphasized that ophthalmology is a highly specialized field in which subspecialty expertise plays a critical role in patient outcomes.
He noted that clinical guidelines in ophthalmology are built on decades of rigorous research and expert consensus, making their integration into AI systems particularly valuable for supporting accurate and context-sensitive decision-making. The collaboration, he added, represents an effort to ensure that the most reliable and up-to-date evidence is consistently available at the point of care.
Structuring Content Ownership and Institutional Independence
The partnership is structured as a licensing arrangement in which the American Academy of Ophthalmology retains full intellectual and financial responsibility for the creation and maintenance of its clinical guidelines and assessments. This structure preserves the Academy’s independence in developing evidence-based recommendations while enabling broader dissemination through digital platforms.
By maintaining ownership of its content, the Academy ensures that its guidelines continue to reflect rigorous scientific review and expert consensus, free from external influence on clinical recommendations. At the same time, integration into OpenEvidence allows these resources to be delivered directly into physician workflows in a scalable and accessible format.
Improving Access to Specialty Knowledge at the Point of Care
A central objective of the collaboration is to improve access to trusted, specialty-specific clinical knowledge at the point of care. In ophthalmology, where rapid and precise decision-making is often required, having immediate access to validated guidelines can play a critical role in improving patient outcomes.
By embedding the Academy’s guidance directly within the OpenEvidence platform, clinicians are able to view evidence-based recommendations alongside relevant research literature without switching between multiple systems. This streamlined workflow is intended to reduce cognitive burden, improve efficiency, and support more consistent application of best practices.
The integration also reinforces the importance of transparency in clinical AI tools. Because OpenEvidence provides cited responses linked to peer-reviewed literature and now incorporates formal clinical guidelines, physicians can verify the basis for recommendations and make more informed decisions.
Advancing the Role of AI in Specialty Medicine
The collaboration between American Academy of Ophthalmology and OpenEvidence reflects a broader trend in healthcare toward integrating artificial intelligence with authoritative clinical knowledge bases. Rather than replacing clinical judgment, these systems are increasingly designed to augment physician decision-making by consolidating and contextualizing vast amounts of medical information.
In ophthalmology, where rapid advances in diagnostics, imaging, and therapeutics are continually reshaping practice, such integration may play a key role in ensuring that clinicians remain aligned with the latest evidence-based standards.
The strategic partnership between the American Academy of Ophthalmology and OpenEvidence represents a significant step forward in the integration of specialty clinical guidelines into AI-powered medical workflows. By embedding trusted, evidence-based ophthalmology resources directly into a widely used clinical platform, the collaboration aims to improve access to authoritative guidance, enhance decision-making at the point of care, and strengthen the connection between clinical practice and guideline development.
With its emphasis on transparency, citation-based AI outputs, and a two-way feedback mechanism, the initiative highlights a growing model for how professional medical societies and digital health platforms can work together to advance evidence-based care in the era of artificial intelligence.
About the American Academy of Ophthalmology
The American Academy of Ophthalmology is the world’s largest association of eye physicians and surgeons. A global community of 32,000 medical doctors, we protect sight and empower lives by setting the standards for ophthalmic education and advocating for public policy in eye health. We innovate to advance our profession and to ensure the delivery of the highest-quality eye care. Our EyeSmart® program provides the public with the most trusted information about eye health. For more information, visit aao.org.
About OpenEvidence
OpenEvidence is the most widely used medical AI platform among U.S. physicians, and is trusted by hundreds of thousands of verified clinicians to make high-stakes clinical decisions at the point of care with answers that are sourced, cited, and grounded in peer-reviewed medical literature. OpenEvidence was founded with the mission to organize and expand the world’s collective medical knowledge.
