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EHR data helps predict opioid use

A prediction model leveraging electronic health record data could be used to help providers identify hospitalized patients who are at highest risk of progressing to chronic opioid use after they’re discharged from the hospital.

Researchers at the University of Colorado Anschutz Medical Campus, who developed the model using patient data from the Denver Health Medical Center, say the model could be integrated into the EHR and activated in the form of an alert when a physician orders opioid medication, informing the doctor of their patient’s risk for developing chronic opioid use.

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