The Data Science Behind Drug Diversion Detection

Within the hospital setting, tracking controlled substances have traditionally been a piecemeal
process, usually involving either spot-checks of collected transactional data or, more frequently,
reliance on partial data extracted from automated dispensing cabinets.

Current methods of pattern detection have moved beyond this type of laborious, manual process,
assigning most of the effort of examining large databases to machine learning algorithms and then applying pattern recognition analysis to surface outliers.

Download the latest information about our suite of medication intelligence products by using the button below.