Automated detection of look-alike/sound-alike medication errors.

Rash-Foanio C, Galanter W, Bryson M, et al. Am J Health Syst Pharm. 2017;74:521-527.

Look-alike and sound-alike medications increase the risk of adverse drug events. This retrospective study found that look-alike and sound-alike medications can be identified in an automated fashion by comparing a medication and its known look-alike and sound-alike medications to diagnostic codes at the point of computerized provider order entry. This is a promising strategy for preventing this type of prescribing error.

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