MACHINE LEARNING & AI FOR HEALTHCARE: A HIMSS EVENT
Boston, MA, June 13-14, 2019
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.