Experience the value of enterprise imaging
Visit FUJIFILM Medical Systems U.S.A, Inc. at booth #551.
HIMSS 2017: Feb 19–23, 2017 | Orange County Convention Center, Orlando, FL
During this educational session, participants will explore the impact of value-based care, enterprise imaging, and how the emergence of artificial intelligence and deep learning will shape the delivery of care in the future.
Date, Time, and Location:
Wednesday, February 22, 2017
11:15 a.m.–12:15 p.m.
James Whitfill, MD
Chief Medical Officer
Scottsdale Health Partners
James Whitfill, MD, is chief medical officer for Scottsdale Health Partners, a clinically integrated network in Phoenix, Arizona. Dr. Whitfill sits on the Board of Directors of the Society of Imaging Informatics in Medicine, is a faculty member of the Radiology Society of North America and the American College of Radiology, and is a founding member of the HIMSS-SIIM Enterprise Imaging Workgroup. At Scottsdale Health Partners, he has been a key part of a team that delivered cost savings across multiple payer sources, including commercial, Medicare ACO, direct-to-employer, and Medicare Advantage plans. He currently serves as a clinical associate professor in the Departments of Internal Medicine and Bioinformatics at the University of Arizona College of Medicine-Phoenix.
Dr. Whitfill received an AB degree from Princeton University and an MD degree from the University of Pennsylvania. He completed his residency and chief residency in internal medicine at the Hospital of the University of Pennsylvania as well as a fellowship in medical informatics at the University of Pennsylvania Department of Medicine.
George Shih, MD
Associate Professor and Vice-Chair for Informatics in the Department of Radiology
Weill Cornell Medical College
New York, NY
George Shih, MD, is associate professor and vice-chair for informatics in the Department of Radiology at Weill Cornell Medical College and associate attending radiologist at New York-Presbyterian Hospital/Weill Cornell Medical Center. He is also the founder of MD.ai, an artificial intelligence DICOM annotation platform that makes building high-quality labeled datasets for machine learning easy, efficient, and collaborative.
Dr. Shih received a BS degree in computer science and an MS degree in electrical engineering from Duke University. He received his MD degree from the Duke University School of Medicine. He completed his radiology residency training in diagnostic radiology and an MRI fellowship with emphasis on musculoskeletal, body, cardiac MRI and peripheral MRA at Columbia University Medical Center in New York, NY.