Medical Xpress January 26, 2022
Regenstrief Institute

The COVID-19 pandemic has highlighted both the necessity and the difficulty of using clinical data to inform state and national public health policymaking. In a new study, Regenstrief Institute and Indiana University researchers demonstrate that machine learning models trained using clinical data from a statewide health information exchange can predict, on a patient level, the likelihood of hospitalization of individuals with the virus.

“It has been quite challenging to bring the bread-and-butter data generated by healthcare systems together with decision-making—entities which have long been separate and distinct,” said study senior author Shaun Grannis, M.D., M.S., Regenstrief Institute vice president for data and analytics and professor of family at Indiana University School of Medicine. “Our work shows how you can...

Today's Sponsors

Institute for Healthcare Improvement
Crossover Health

Today's Sponsors


Today's Sponsor


Topics: AI (Artificial Intelligence), Health IT, Healthcare System, HIE (Interoperability), Patient / Consumer, Provider, Public Health / COVID, Technology
Trustworthy AI is now within reach
Genesys says Cloud AI Experience helps businesses listen to and understand customers
How will OpenAI’s Whisper model impact AI applications?
Health care artificial intelligence gets biased data that creates unequal care
TechTank Podcast Episode 54: Can AI developers be incentivized to debias their algorithms?