Researchers Find Flaws in Algorithm Used To Identify Atypical Medication Orders

Can algorithms identify unusual medication orders or profiles more accurately than humans? Not necessarily. From a report: A study coauthored by researchers at the Universite Laval and CHU Sainte-Justine in Montreal found that one model physicians used to screen patients performed poorly on some orders.

The study offers a reminder that unvetted AI and machine learning may negatively impact outcomes in medicine. Pharmacists review lists of active medications — i.

e., pharmacological profiles — for inpatients under their care.

This process aims to identify medications that could be abused, but most medication orders don’t show drug-related problems. Publications from over a decade ago illustrate technology’s potential to help pharmacists streamline workflows by taking on tasks like reviewing orders.

But while more […].

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