Event Information

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Title: Dr. Shaun Grannis, Interim Director of the Regenstrief Center for Biomedical Informatics, Data Science Invited Talk Series
Sharing: Public
Start Time: Friday February 17, 2017 01:30 PM
End Time: Friday February 17, 2017 02:30 PM
Location: Lindley Hall, Rm 102
Contact: Ying Ding
Url: http://data-science-colloq.soic.indiana.edu/
Category: Event
Free/Busy: busy
Description:

Data Science Invited Talk Series

Speaker: Shaun Grannis, Associate Director, Center for Biomedical Informatics, Regenstrief Institute, Inc.

When: Friday, February 17 at 1:30pm - 2:30pm

Where: Lindley Hall, rm 102

Title: Healthcare Data Analytics in the Age of Big Data: Real World Examples and Opportunities for the Future

Abstract:

The pace of healthcare discovery and translational innovation is accelerating due to an explosion of electronic health data. The Indiana Network for Patient Care (INPC) is one of the nation’s longest running and largest health information exchanges (HIEs), which integrates and standardizes disparate clinical data for most Indiana Hospitals. Such an unparalleled system is useful for a variety of purposes, including developing new heath data analytics methods and applications, supporting population health, and advancing precision medicine. This presentation will provide an overview of projects supported by the INPC, including specific use cases highlighting health data analytics, population health, and precision medicine.​

Bio:

Dr. Shaun Grannis, MD MS FAAFP FACMI, is Interim Director of the Regenstrief Center for Biomedical Informatics and Associate Professor of Family Medicine at the Indiana University School of Medicine. Since joining Regenstrief in 2001, his work has focused on developing and testing big data analytic solutions in support of population health and public health informatics. He led one of the nation's first initiatives to develop, deploy, and evaluate a statewide real-time public health surveillance system in conjunction with the Indiana State Department of Health, which received a national recognition for its effectiveness and sustainability. Dr. Grannis also develops HIE-based machine learning approaches to detecting cases reportable to public health across large regions, and has constructed and evaluated methods for seamlessly delivering just in time public health alerts to physicians.

 

Contact Email: dingying@indiana.edu
More Contact Info: datasci@indiana.edu
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