Wolters Kluwer introduces Ovid Guidelines AI, transforming clinical guideline development with agentic AI

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Ovid Guidelines AI will accelerate ASCO guideline research workflow with GenAI

WALTHAM, Mass., May 21, 2025--(BUSINESS WIRE)--Turning evidence from prospective research into structured medical recommendations through comprehensive evidence synthesis can be daunting for healthcare organizations. With the introduction of Ovid Guidelines AI, Wolters Kluwer is developing an agentic Generative AI (GenAI) workflow solution to accelerate this process and ensure clinical practice guidelines remain timely, trusted, and aligned with the latest research.

Building on a long-standing publishing relationship, Wolters Kluwer and the American Society of Clinical Oncology (ASCO) are expanding their shared efforts to advance evidence-based cancer care. At the upcoming 2025 ASCO Annual Meeting, the two organizations will appear alongside Google Cloud in the "AI and Oncology" area in Lakeside Lounge to showcase the ASCO Guideline Generator, the first early adoption of Ovid Guidelines AI. The new technology, which will be available in early 2026, will help accelerate clinical practice guideline development at ASCO, enabling authors to develop continually updated guidelines.

"Cancer researchers and care providers need every advantage they can get to put new discoveries and evidence into action," said Stacey Caywood, Chief Executive Officer, Wolters Kluwer Health. "Building innovative AI solutions for these teams gives us the opportunity to scale the transformation of vital new evidence from clinical trials into structured recommendations that can help improve care for cancer patients."

AI-powered guideline management comes to the forefront

Ovid Guidelines AI—Wolters Kluwer Health’s first agentic GenAI solution—places scientific rigor at the center of AI-powered clinical practice guideline creation. By embedding industry gold standards such as Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) and Grading of Recommendations Assessment, Development, and Evaluation (GRADE) directly into the workflow, the platform supports guideline authors in documenting, justifying, and updating recommendations with full methodological transparency. This workflow brings automation to the more labor-intensive, error-prone research tasks in managing guidelines. The solution supports end-to-end guideline lifecycle management by uniting researchers, expert panels, and review boards through a shared, auditable environment for coordinating projects and capturing key evidence, deliberations, and decisions over time.