Study: Machine learning successfully tracks drugs stolen from hospitals faster and with minimal error

A retrospective study published in American Journal of Health-System Pharmacy found that machine learning and advanced analytics technology not only identifies drug diversion – when drugs are stolen from hospitals – but also that the tech can do so 160 days faster than standard methods, and with a 96.3% accuracy rate.