Health IT Analytics February 9, 2021
Applying artificial intelligence to EHR data can help providers identify factors that are predictors of poor COVID-19 outcomes.
Artificial intelligence could help identify factors in EHR data that are predictive of poor COVID-19 outcomes and mortality, according to a study published in npj Digital Medicine.
The vast amount of data contained in EHRs can provide a valuable asset to researchers during crises like the current pandemic, the team noted.
For the study, the research group used the COVID-19 datamart, a frequently refreshed snapshot of longitudinal data on patients with a COVID-19 infection flag from many data sources across the Mass General Brigham hospital system.
Using EHRs from more than 16,000 students, the team applied an artificial intelligence algorithm to identify...
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