William Paiva | Executive Director, Center for Health Systems Innovation
Oklahoma State University

William Paiva, Executive Director, Center for Health Systems Innovation, Oklahoma State University

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 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 was for over 20 years in the venture capital industry, management consulting, and investment banking industries.  Dr. Paiva holds a Ph.D. in molecular biology from the University of Oklahoma and an MBA from Dartmouth College.


AI in Healthcare 2018 Day One @ 11:40

AI round table discussion session

Table 1: Transforming health care delivery through artificial intelligence

Precision 2018 Day 1 @ 14:30

Panel: Funding precision medicine – how to fund your projects

  • What are investors most likely to find compelling in an elevator pitch?
  • Is it the science or the team that attracts capital?
  • How can I obtain access to funding sources?
  • What are the benefits and drawbacks of each capital source?

Ai in Healthcare 2018 Day Two @ 14:30

Transforming healthcare delivery through artificial intelligence

  • History of Artificial Intelligence and Machine Learning and the applications within Health Care
  • An overview of Oklahoma State University’s (OSU) Center for Health Systems Innovation’s (CHSI) efforts to apply these approaches to the transformation of healthcare delivery with an emphasis on rural health care
  • Examples utilising the largest clinical database representing clinical information from 63 million patients collected over 16 years through electronic medical record systems

Ai in Healthcare 2018 Day Two @ 16:30

Panel discussion: Will AI accelerate patient led health care innovations?

  • Where has machine learning and AI taken us so far, and what has been learned
  • What is the potential for patient and population data signatures to transform precise healthcare development and delivery

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