HIMSSCast: Using AI to predict COVID-19 patient outcomes

Given the strain on hospital resources caused by the pandemic, many informaticists have focused on the ability to predict patient populations.

In January, researchers at the Regenstrief Institute and Indiana University found that machine learning models trained using statewide health information exchange data can actually predict a patient's likelihood of being hospitalized with COVID-19.  

Joining Healthcare IT News Senior Editor Kat Jercich to discuss the study's implications are two of its lead authors, Dr. Shaun Grannis and Suranga Kasturi.