HIMSSCast: Using AI to predict COVID-19 patient outcomes – Healthcare IT News

Given the strain on hospital resources caused by the pandemic, many informaticists have focused on the abilityto 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.

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Talking points:

More about this episode:

Regenstrief launches initiative to disseminate SDOH data

HIE-trained AI models can forecast individual COVID-19 hospitalization

Data from 175K COVID-19 patients fuels predictive severity model

Predicting COVID-19 hotspots: Kaiser Permanente tool uses EHR data to forecast surges

Even innocuous-seeming data can reproduce bias in AI

Continued here:

HIMSSCast: Using AI to predict COVID-19 patient outcomes - Healthcare IT News

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