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Healthcare Dive · September 21, 2026 · On the brief until October 5, 2026

How AI is tackling one of the biggest bottlenecks in clinical research and beyond

MedicineHealth AdministrationData Science
THE AI ANGLE
Extracting structured research data from unstructured clinical records

Verily Health and hospital partners tested an AI system that converts unstructured leukemia records into structured research data. Grounding the tool in medical ontologies raised extraction accuracy from 72 percent to over 95 percent. This shift projects reducing 1,200 hours of manual clinical data review to 40 hours for research teams.

Summary written by AI Business Lens with an AI model from the article at healthcaredive.com. It is not the article, and the publisher has not reviewed it. For publishers.

THE TEACHING ANGLE
General AI models struggle to separate clinical hypotheses from biological facts unless engineers build medical ontologies directly into the extraction pipeline.

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