Machine Learning Platforms Generates More Alerts For Drug Errors

A new machine learning platform can generate clinically valid alerts for medication errors that might be missed with existing clinical decision support (CDS) systems, according to a study published in the January issue of The Joint Commission Journal on Quality and Patient Safety. Dr Ronen Rozenblum, Ph.D., M.P.H., from Harvard Medical School in Boston, and colleagues examined the ability of a machine learning system (MedAware) to generate clinically valid alerts, and estimated the associated cost savings with potentially prevented adverse events. Alerts were generated on outpatient data from two academic medical centers between 2009 and 2013. MedAware alerts were compared with those in an existing CDS system.