Marcus Mann-Harris

In this insightful discussion, Maia Cassis, a patient safety data scientist, and Marcus Mann-Harris, head of LFPSC and NRLS, explore the groundbreaking impact of machine learning on patient safety. They explain how machine learning can unveil hidden patterns and enhance data processing to identify safety risks faster than manual reviews. Delving into technical models being tested and user engagement strategies, they highlight the promise of real-time feedback and improved outcomes for patients, revealing an exciting future for healthcare safety.