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

Canan C, Polinski JM, Alexander GC, Kowal MK, Brennan TA, Shrank WH. J Am Med Inform Assoc. 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.

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