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 requires integration and understanding of large amounts of data that is rapidly changing and increasing in volume. Using manual processes to manage this data is now impossible and likely to result in errors that could be catastrophic. That’s where artificial intelligence comes in. As health data proliferates, AI can automate the data integration process while ensuring data quality and enabling data governance.
In this session, Michael Dulin, MD, director of the Academy of Population Health Innovation at UNC, Charlotte, discusses the importance of AI for population health success. But as Mike will explain, bias in the data can impact the AI results, and may worsen health disparities for populations that are under-represented. Mike will discuss the potential pitfalls to increase awareness and help to use AI to facilitate high quality population health interventions.