Harnessing Data Analytics and Artificial Intelligence to Improve Results
The vast amount of health data generated and stored around the world each day offers significant opportunities for advancement. Interpreting data for deep learning initiatives could help hospitals streamline operations, reduce expenses and, increasingly, directly impact patient experience with personalized care. Analytics provide insights organizations can use to improve quality and reduce costs. Quality data can also be used in clinical decision support, readmission prevention and chronic disease management. However, capturing, analyzing, and sharing health data is difficult and expensive. This session will discuss how to harness data sets into actionable solutions to make data-driven decisions and innovate clinical care improvements.
–Myriam J. Curet, M.D., Executive Vice President and Chief Medical Officer, Intuitive
–Maia Hightower, M.D., Chief Medical Information Officer 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