Horvitz, an elected member of the National Academy of Engineering, is a pioneer in the applications of machine learning, AI and decision science.

According to the organization’s citation for Embí, “his thought leadership and research led to the field of clinical research informatics, real-world evidence generation, the safe and effective use of AI in health care, and data-driven learning health systems that improve health and care.”

Each year, the Byron Oberst Award is presented to a fellow of the American Academy of Pediatrics who has made significant contributions to the field of pediatric clinical informatics.

The initiative aligns with the Office of Rural Health’s mission to improve the health and well-being of rural veterans and the VA’s priority of becoming a learning health care system.

The project seeks to reduce the time for clinical chart abstraction by 90% while maintaining human-level accuracy.

A real-world learning health system was established at VUMC a decade ago. Now, the National Human Genome Research Institute is awarding two five-year grants totaling $12 million to support VUMC’s participation in, and coordination of, a genomic-enabled learning health system (gLHS) network.

V-CARES will focus on detecting hallucinations, omissions and misaligned values in AI-generated responses on critical health topics.