Abridge integrates peer-reviewed journals into AI clinical platform
Abridge, an AI-driven clinical decision support company, has signed multiyear partnerships with the New England Journal of Medicine and the JAMA Network to surface peer-reviewed research during patient encounters.
The partnerships bring content from two of medicine's most prestigious journals directly into Abridge's platform, available to healthcare customers later this year. Doctors will access this research without leaving their clinical workflows.
How it works
Abridge's AI listens to patient conversations and automatically surfaces relevant research findings and evidence-based answers to clinical questions. The platform cites sources in clinical documentation created during visits.
Care teams can also use Abridge to prepare for appointments. The system already integrates content from Wolters Kluwer Health's UpToDate.
Shiv Rao, Abridge CEO and co-founder, said in a statement: "There is no higher scientific standard in medicine than the research published in the New England Journal of Medicine and in JAMA, and we are committed to ensuring that standard is integrated into the clinical encounter as contextual insight grounded in the patient conversation."
Why the journals agreed
Brian Shields, group vice president and publisher of JAMA Network, said the partnership reflects a goal to improve access to trusted evidence "at the point of care."
David Sampson, vice president and chief publishing officer at NEJM Group, added: "AI is already shaping clinical decision-making, and our role is to ensure it is grounded in trusted, peer-reviewed evidence."
The broader context
Clinical decision support systems streamline physician documentation and workflows across routine care and emergency settings. Health system leaders view these tools as necessary for competition.
Patient safety remains a concern. The National Academy of Sciences published research last year on risks of generative AI in healthcare, including hallucinations, algorithmic bias, and inaccuracies that could harm patients.
The quality of data underlying clinical decision support systems directly affects outcomes. Governance structures and continuously updated evidence-based data are foundational requirements for safe AI deployment.
Stacey Caywood, CEO of Wolters Kluwer Health, previously told Healthcare IT News: "AI can help to serve the right content at the right time, at key points in the clinical workflow, so clinicians never lose their stride while tapping into trusted knowledge and recommendations to treat patients."
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