Using data from a statewide health information exchange, researchers have created machine learning algorithms that are able to identify patients who need advanced treatment for depression.
According to Regenstrief Institute and Indiana University researchers, identifying cases of depression that require advanced care can be challenging for primary care physicians.
However, they contend that their models—which leverage diagnostic, behavioral and demographic data, as well as past visit history from an HIE—can help PCPs predict which patients may be more at risk for adverse events from depression.
