Researchers at the Humana Integrated Health Systems Science Institute and the University of Houston have created an artificial intelligence-powered tool that helps predict which patients are at risk of diabetes complications.
The Primary Care Forecast tool incorporates information such as employment status, living arrangement, education level and food security into the algorithm. Researchers plan to test the tool within the Prime Registry, a national database that includes millions of primary care patients.
The American Board of Family Medicine funded the creation of the tool.
"This tool represents a great opportunity to put actionable information into the hands of primary care physicians at the point of service where real change in health happens," Todd Prewitt, MD, corporate medical director of clinical strategy and analytics at Humana, said.