Enhancing High-Risk Maternity Care with Advanced Data Analytics

Discover how advanced analytics is revolutionizing the identification and management of high-risk pregnancies. This presentation shares a case study from a Medicaid ACO that uses an innovative data-driven approach to improve maternal health outcomes. By integrating clinical best practices and social determinants of health (SDOH) into a risk stratification model, the program identifies and supports at-risk mothers from pregnancy through 12 months post-partum. The first year of implementation showed promising results, including a significant increase in prenatal visits and high enrollment rates. Attendees will gain insights into the methodologies used, the challenges encountered and the strategies employed to overcome these barriers. The session highlights the importance of comprehensive care and community partnerships in improving maternal health outcomes, offering valuable lessons and best practices for other healthcare organizations aiming to enhance care for high-risk populations.