“We were the first player in the market to discover the need for analytics around drug diversion way back in 1997. Upon witnessing a pressing need in the market for mitigating the misuse of prescription medicines by healthcare professionals, which posed a significant risk to patients, we developed our algorithm and implemented it,” begins David Brzozowski Sr., the CEO and President at Medacist. Not just that; having realized the gap that existed in the market, both from a clinical and sociological perspective early on, the Medacist team was quick to discern the necessity to fill it. To this end, with its unparalleled algorithm, as evidenced by over 2000 hospitals and healthcare facilities served, Medacist effectively sealed the void. The benefits of such a solution to drug diversion cannot be understated. In addition, to drive better analytics and enrich data, the company identified the need to integrate its solutions with other data sources, such as electronic health record systems (EHR), time and attendance systems and drug inventory systems. As pioneers in the drug diversion analytics field, Medacist is among the first to load all patient data from the different systems into a central data warehouse and perform analytics against it. “In the world of data science, data is the oil which fuels machine learning and Medacist is Saudi Arabia of pharmacy automated dispensing. With two decades worth of automated dispensing data at our disposal, we are leading the charge in building analytics around behavioral aspects deploying machine learning. We have confirmed cases of drug diversion compiled over the years, which our system learns from, and builds inferences on different user behaviors related to diversion,” says Brzozowski.