Harnessing Data Analytics and Artificial Intelligence to Improve Results
Diku Mandavia, M.D.
Maia Hightower, M.D.
Daniel Nigrin, M.D.
David K. Vawdrey, Ph.D.
Myriam J. Curet, M.D., FACS
Moderator: Diku Mandavia, M.D., Senior Vice President, Chief Medical Officer, Fujifilm Healthcare
The vast amount of health data generated and stored around the world offers significant opportunities for advancement. Interpreting data for deep learning initiatives could help hospitals streamline operations, reduce expenses and directly impact the patient experience with personalized care. Analytics provide insights that organizations can use to improve quality and reduce costs. High quality data can also be used in clinical decision support, readmission prevention and chronic disease management, though capturing, analyzing and sharing it is difficult and expensive. This session will discuss how to harness such analytic information to make data-driven decisions and innovate clinical care.
–Myriam J. Curet, M.D., Executive Vice President and Chief Medical Officer, Intuitive
–Maia Hightower, M.D., Chief Medical Information Officer and Assistant Professor, Department of Internal Medicine, University of Utah Health
–Nina Janda, Chief Executive Officer, Global Health Data @ Work
–Daniel Nigrin, M.D., Senior Vice President and Chief Information Officer, Boston Children’s Hospital; Assistant Professor of Pediatrics, Harvard Medical School
–David K. Vawdrey, Ph.D., Chief Informatics Data Officer, Geisinger