MACHINE LEARNING & AI FOR HEALTHCARE: A HIMSS EVENT
Boston, MA, June 13-14, 2019
Michael Dulin, MD, PhD, is the director of the Academy for Population Health Innovation at the University of North Carolina, Charlotte – a collaborative designed to advance community and population health. In addition, he is a professor within the Carolinas Healthcare System’s Department of Family Medicine; director of a primary care practice-based research network (MAPPR), and serves as the chief medical officer for Tresata Health. Dulin started his career as an electrical engineer and biomedical engineer and then received his PhD studying mechanisms of learning and memory.
After medical school, Dulin started his medical career as a primary care physician. He has held a number of leadership positions including the director of research and chair within the CMC Department of Family Medicine and helped develop the population health management framework. Prior to moving into his current roles, to design and implement a centralized analytics team for Carolinas Healthcare, one of the largest non-profit healthcare systems in the country.
Dr. Dulin is a nationally recognized leader in the field of health information technology and application of analytics and outcomes research to improve care delivery and advance population health. He has led projects in this domain funded by AHRQ, The Robert Wood Johnson Foundation, The Duke Endowment, NIH and PCORI. His work has been recognized by the Charlotte Business Journal, NCHICA and Cerner. Finally, Dulin’s work to build a healthcare data and analytics team for was featured by the Harvard Business School / Harvard School T.H. Chan School of Public Health as a published case study.
Population heath depends on multiple data types and with the volume of healthcare data increasing rapidly, it’s all but impossible for humans to integrate it, and without a foundation of data, pop health won’t work. That’s where artificial intelligence comes in. As data proliferates, AI can augment the data integration process and prepare it for analytics.
In this session, Mike Dulin, director of the Academy of Population Health Innovation at UNC, Charlotte, discusses the importance of AI for pop health success. But as Mike will explain, if human bias skews the data, the AI results will be skewed as well, and health disparities will likely worsen, not improve. Mike will address how to avoid that.