Harry S. Saag, MD, serves as the medical director for network integration and ambulatory auality at NYU Langone Health (NYULH) and is an assistant professor of medicine at the NYU School of Medicine. In this role, he assists with the clinical strategy to measure and improve quality across NYULH’s 190 outpatient sites made up of academic faculty group practices and nine federally qualified health centers. He also works closely with NYULH's clinically integrated network (CIN) which has roughly 375,000 attributed lives across Medicare Advantage, commercial, and Medicaid contracts to keep patients healthy, happy, and at home. He works closely with care management, operations, and data science partners to optimize patient outcomes and organizational performance.
He received an economics degree from The University of Georgia and subsequently returned to his native Alabama where he received his medical degree from The University of Alabama – Birmingham before moving to New York where he completed his residency training in internal medicine at NYU School of Medicine and subsequently served as a chief resident. He remains clinically active seeing patients at NYU Langone Health as a hospitalist.
Care Coordination remains a cornerstone of value-based care, but measuring its effectiveness in keeping patients healthy and steering them to the appropriate venue when necessary can be challenging.
NYU Langone Health, a tertiary care academic medical center, operates a clinically Integrated network (CIN) with roughly 375,000 attributed lives and a robust care coordination program to help high-risk patients lead healthy lives. Langone’s clinical and operational leaders recently teamed up with a data scientist to measure the impact of care coordination and improve these services.
Among other things, to improve outreach strategies and patient engagement, the organization used data science to better understand how patients interact with Langone’s online portal.
In this session, Langone’s clinical and data science leads will explain how they worked as a team and used these data-driven insights to improve operations and patient care.