Identifying opioid-related electronic health record phenotypes for emergency care research and surveillance: An expert consensus driven concept mapping process.

Abstract excerpt

Background: Case identification for many areas of opioid research and surveillance in the emergency department (ED) is challenging as patients are often undifferentiated with nonspecific symptoms and diagnostic codes have proven to be inaccurate. Opioid-related phenotypes based on combinations of electronic health record data are a promising method to address this gap but lack a consensus-based conceptual...

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