AJMC Study: Improving Risk Stratification Using AI and Social Determinants of Health

A recently published paper in AJMC explored a risk prediction model based on artificial intelligence (AI) that allowed the researchers to efficiently identify high-cost members. The study pulled claims data from a Medicaid care organization, covering nearly 62,00 patients. Researchers also analyzed data regarding social determinants of health (SDOH), increasingly recognized as contributors to health disparities.

According to the authors, “Collecting SDOH information is not a straightforward process, and the industry has not adopted standard instruments for collecting these data. Unlike SDOH information, ADT information is available in a standardized format, but communities often lack infrastructure to communicate this information among hospitals, insurers, and care management programs.”

To read more, click here.

(Source: AJMC, November 8^th, 2022)