Using Machine-Learning Algorithms to Prevent Drug Diversion
June 9 @ 1:00 pm - 2:00 pm CDT
Christopher R. Fortier, PharmD, FASHP, Chief Pharmacy Officer, Massachusetts General Hospital. Healthcare providers are vulnerable to serious legal, financial, operational and reputational risks – and regulatory fines – due to employee drug diversion and inadequate internal controls. In fact, the cost to public and private medical insurers of controlled drug diversion and abuse is estimated to be $72.5 million per year. To avoid these risks, providers can use machine-learning algorithms together with advanced diversion prevention software to gain real-time dashboard views into their controlled substance supply chain to analyze behavior patterns among problem areas and suspected individuals.