Dr. William Paiva
Executive Director of the Center for Health Systems Innovation
Artificial Intelligence and other analytics approaches applied to digitized health care data to build predictive algorithms has the potential to address rural health care's significant health care delivery challenges. 60 million+ people live in rural areas across the United States, including millions of Medicare and Medicaid beneficiaries. Compared to their urban counterparts, rural Americans are poorer, older, sicker, uninsured or underinsured, and medically underserved. Additionally, rural America has a fragmented health care delivery system, stretched and diminishing rural health workforce, insurance affordability issues, and lack of access to specialty and primary care providers. Solutions to address these problems include head count growth, licensure adjustments, workflow improvements, and advanced predictive analytic tools. Cerner Corporation, one of the nation’s largest electronic medical record companies in the world, provided a dataset to the Oklahoma State University’s Center for Health Systems Innovation (CHSI) with clinical information for 63 million patients collected over 18 years. OSU’s CHSI is leading the nation in developing and, more importantly, deploying these advanced analytic solutions in the rural health care environment. This presentation will provide real world examples of these tools being developed and deployed to address and ameliorate significant rural health care challenges.
Friday, October 19, 2018 at 2:30pm to 3:30pm
John D. Tickle Engineering Building, 410
851 Neyland Dr, Knoxville, TN 37996