Videos

Sriram Vishwanath, professor in data science and informatics at The University of Texas in Austin, TX, discusses the inherent challenges (and significant value) of analyzing healthcare data and using it to predict outcomes.

Ray Manahan, Director of Government Programs at Providence Health & Services, talks about analyzing data from the past and using predictive analytics for gauging future performance to comply with changing government programs from CMS.

David W. Bates, Senior Vice President and Chief Innovation Officer at Brigham and Women's Hospital offers critical advice to organizations new to analytics and pondering an initial approach.

Charles Macias, MD, Director of the Evidenced-Based Outcomes Center at Texas Children's Hospital, talks about the organization's drive to improve outcomes through analytics by integrating systems across clinical care, operations and finance.

Adam Doyle and Alda Mizaku talk about Big Data technologies at work at Mercy Hospital in St. Louis, MO, and the data architecture they've created to offer real-time analytics on patients at the facility.

Thomas Hill Ph.D, Executive Director for Analytics for Dell Statistica Software, explains how historical data can be used to predict risk and how it applies to clinical settings.

Neil R. Kudler, MD, VP and CMIO at Baystate Medical Center, and Larry Schor of Medecision talk about a solution they built to deliver metrics that is helping clinicians make better decisions at Baystate Medical Center.

Brian Doty and Ryan Renner of Deloitte Consulting talk about how providers are moving from analyzing historical data into the realm of predictive analytics and real-time recommendations for clinicians.

Daniel "Danny" Sands, MD, Assistant Professor at Harvard School of Medicine, talks about participatory medicine at the 2015 Patient Engagement Summit in San Diego, CA.

Hazel Tapp, PhD, Associate Director of Research at Carolinas HealthCare System, talks about promoting shared medical decision making processes at the organization.