Influence
April 20, 2020

Regenstrief VP provides perspective and analysis on COVID-19 data

Regenstrief Vice President for Data and Analytics Shaun Grannis, M.D., is helping Hoosiers understand the data used to track the COVID-19 virus.

In a series of interviews with FOX59 and CBS4, Dr. Grannis explained predictive modeling, including the information that was used to create the projections and why those projections are constantly changing. He also gave perspective on what these models mean for Hoosiers and provided insight on the effort to gather more data to better understand the characteristics of individuals who are coming down with the virus.

Predicting Indiana’s surge

Predictive model backs down on Indiana death expectations

COVID-19 hits Indiana minorities at higher rate

Dr. Grannis also spoke to the Indianapolis Business Journal about Regenstrief’s work with the Indiana Health Information Exchange related to COVID-19.

Researchers scour COVID-19 data to find peak

Related News

image of a doctor consulting with a patient

Scalable approach could improve early detection of cognitive impairment in primary care

Regenstrief-led study evaluates how existing health data and patient-reported information could help clinicians identify individuals who need further assessmentEarly

Christopher Callahan, MD

Regenstrief Institute scientist named next president and CEO of Regenstrief Foundation 

Longtime Regenstrief investigator and former IU Center for Aging Research director will assume Foundation leadership in summer 2027.  Christopher

Rachel Patzer, PhD, MPH

Building trust in healthcare AI through data and evidence

As artificial intelligence rapidly transforms healthcare, innovation alone is not enough. Health systems need evidence that AI tools are

doctor using electronic health record

Data expertise helps researchers understand how clinical tools are used in real-world care

Regenstrief Data Services (RDS) provided critical health data and specialized expertise to support research examining clinical decision-support use across