Healthcare Drug Diversion Detected Faster, More Accurately With Advanced Analytics/Machine Learning Software, AJHP Study Finds
Invistics, the leading provider of cloud-based software solutions that improve inventory visibility and analytics across complex healthcare systems and global supply chains, announced the publication of its groundbreaking scientific study, “Detecting Drug Diversion in Health System Data using Machine Learning and Advanced Analytics,” in the latest edition of the peer-reviewed American Journal of Health-System Pharmacy. The retrospective study, published Feb. 9, compared the use of machine learning and advanced analytics software to uncover drug diversion with traditional means of detection — including the use of monthly anomalous usage report — within 10 acute-care inpatient hospitals across four independent health systems. Study co-authors included: Tom Knight (CEO, Invistics Corporation), Bernie May (SVP Healthcare Systems, Invistics Corporation), Don Tyson (Director of Pharmacy, Piedmont Athens Regional Medical Center; Scott McAuley (Executive Director of Pharmacy, Piedmont H...