Medical Xpress January 26, 2022
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 public health 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 medicine at Indiana University School of Medicine. “Our work shows how...
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