The application of real-world data and emerging technologies continue to have tremendous promise in healthcare. However, inherent challenges with popular real-world data sources like electronic medical records and patient registries can limit research potential. A new, promising data source that could help explore and unlock new discoveries lies in the use of simulated data that can be used in place of real patient information. These synthetically generated data sets, applied with artificial intelligence, can enable researchers to conduct experiments that otherwise may not be possible to explore in the real-world.

Join our experts as they provide insight on this newly emerging data source. Key objectives include:
  • Exploring challenges with current real-world data sources
  • Foundational elements of simulated data and its application via artificial intelligence
  • Results from recent research testing and validating benefits of simulated data

Featured Speakers

Bruce Feinberg, DO

VP of Clinical Affairs & Chief Medical Officer
Cardinal Health Specialty Solutions

Bruce Feinberg, DO serves as Vice President of Clinical Affairs and Chief Medical Officer for Cardinal Health Specialty Solutions. He works across the specialty solutions businesses, consulting with payers, providers, pharma, patients, and policy makers. Since joining Cardinal Health, Dr. Feinberg has made more than 70 peer-reviewed contributions to value-based healthcare literature. In 2015, Dr. Feinberg was honored as a PharmaVoice 100 most inspirational life-science leader.

Daniel H. Robertson, PhD

VP of Digital Technology & Director of Applied Data Sciences Center
Indiana Biosciences Research Institute (IBRI)

Daniel H. Robertson, PhD, is a proven and experienced technical leader of innovation in information technology (IT), computational science and research. He is currently the VP of Digital Technology, Research Fellow, and Director of the Applied Data Sciences Center at the Indiana Biosciences Research Institute (IBRI) where he is focused on defining and developing the Institute’s computational analytics, digital, and data science capabilities.

Jeff Graham

Principal of Data Analytics
Cardinal Health

Jeff Graham is a Principal of Data Analytics who is responsible for developing new quantitative technologies for Cardinal Health. He has over 20 years of experience in big data, database performance tuning as well as systems and application development on-premise and in the cloud. Jeff has applied new methods of stream processing, graph databases, in-memory grids, and advanced search capabilities that are used throughout Cardinal Health.

Date:  Wednesday, June 12, 2019
Time:  12pm ET / 9am PT
Duration:  1 Hour

Register now for this webinar