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

Chelsea Canan; Jennifer M Polinski; Caleb Alexander; Mary K Kowal; Troyen A Brennan; William H Shrank

Review

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

November 8, 2017

Canan C, Polinski JM, Alexander C, et al. J Am Med Inform Assoc. 2017;24(6):1204-1210.

View more articles from the same authors.

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.

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