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

Christine Rash-Foanio; William Galanter; Michelle Bryson; Suzanne Falck; King Lup Liu; Gordon Schiff; Allen J Vaida; Bruce L Lambert

Study

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

April 12, 2017

Rash-Foanio C, Galanter W, Bryson M, et al. Am J Health Syst Pharm. 2017;74(7):521-527.

View more articles from the same authors.

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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