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Artificial Intelligence and Other Analytics Approaches Applied to Digitized Health Care Data

Dr. William Paiva
Executive Director of the Center for Health Systems Innovation
Friday, October 19, 2018
2:30-3:30pm JDT 410


Abstract –

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.


 William D. Paiva, PhD, is Executive Director of the Center for Health Systems Innovation (CHSI).  The Center is focused on transforming rural and Native America health through the implementation of innovative care delivery and IT solutions.  Within CHSI, the Institute for Care Delivery focuses on developing new and innovative care delivery and business models for rural and Native American markets and the Institute for Predictive Medicine is applying advanced analytics to the largest health care database which includes clinical information for over 63 million patients covering 16 years.  Prior to joining Oklahoma State University, Dr. Paiva has over 20 years of experience in the venture capital industry with Sevin Rosen Funds, Chisholm Private Capital, and the Oklahoma Life Science Fund, management consulting with PriceWaterHouse consulting, and investment banking at JP Morgan.  In addition, Dr. Paiva has deployed spine, orthopedic and cardiac centers in China.  Dr. Paiva holds a Ph.D. in molecular biology from the University of Oklahoma and an MBA from Dartmouth College.