COVID-19 Impact

You may see some delays in posting new content due to COVID-19. If you have any questions, please submit a message to PSNet Support.
 

PSNet: Patient Safety Network
Journal Article
Study

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

Rash-Foanio C, Galanter W, Bryson M, et al. American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists. 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.