Journal Article
Review

Automatable algorithms to identify nonmedical opioid use using electronic data: a systematic review.

Canan C, Polinski JM, Alexander C, et al. Journal of the American Medical Informatics Association : JAMIA. 2017;24:1204-1210.

Safer opioid prescribing requires that providers and systems are able to identify patients who misuse or divert opioids. This systematic review assessed different automated algorithms to detect population-level nonmedical opioid use. The authors suggest that algorithms that integrate claims data with natural language processing or other advanced informatics techniques yield the best results.