Egészség26 április, 2022

AJHP: Drug diversion study using machine learning and advanced analytics

A 2022 study in the American Journal of Health-System Pharmacy showed that machine learning and predictive analytics effectively detect drug diversion incidents more quickly and accurately.

The fight against drug diversion in healthcare facilities is increasingly being led by software that harnesses the power of machine learning and advanced analytics. In 2022, the American Journal of Health-System Pharmacy published a study funded by the National Institutes of Health, "Detecting Drug Diversion in Health System Data Using Machine Learning and Advanced Analytics," highlighting the efficiency of these solutions in identifying pharmacy diversion incidents with greater speed and precision.

The study's drug diversion software, Sentri7 Drug Diversion®, uses predictive analytics to detect cases of pharmaceutical diversion swiftly and accurately within complex healthcare systems, significantly enhancing the efficiency of investigations.

Improved Accuracy and Speed in Drug Diversion Detection 

Sentri7 Drug Diversion detected all 22 known diversion incidents from ten acute care inpatient hospitals across four different health systems, involving over 20,000 clinicians and more than 25 million medication movement transactions. The software achieved an astounding 96.3% accuracy rate, with 95.9% specificity and 96.6% sensitivity in identifying transactions involving a high risk of medication diversion. This pharmaceutical diversion software detected known diversion cases with a mean of 160 days and a median of 74 days faster. For healthcare facilities aiming to strengthen their drug diversion programs, quicker detection leads to more immediate interventions, preventing further instances of diversion of controlled substances.
 
SOLUTIONS

Sentri7 Drug Diversion

Quickly uncover potential diversion from purchase to patient with predictive analytics and actionable dashboards.
Reconciles drug transactions using AI to rapidly and accurately identify patterns of behavior consistent with drug diversion.

Enhanced Investigation Efficiency 

Users of Sentri7 Drug Diversion reported improved investigation efficiency, with auditing time reduced from 4-20 hours to just 10-30 minutes. The ability to quickly identify high-risk transactions and reduce auditing time is crucial to ensuring patient safety and prompt intervention. Sentri7 Drug Diversion also offers advanced reporting capabilities and actionable dashboards, allowing users to easily track and analyze trends in the diversion of medications across their healthcare facility. This can help identify patterns and potential areas for improvement in drug diversion prevention protocols. 

An Expanded Monitoring Scope

Many hospitals involved in the study have expanded their use of the software to include a range of clinical areas such as anesthesia and pharmacy divisions, which has proven invaluable in detecting new incidents of drug diversion. Diversion monitoring and surveillance software has become a key component of their drug diversion program, alerting them in near real time of potential issues to begin investigations sooner.

Sentri7 Drug Diversion empowers your healthcare facility to identify instances of medication diversion quickly and precisely, significantly reducing investigation time. Accurately pinpointing high-risk transactions enhances patient safety by minimizing the chances of narcotic diversion within your institution. To learn more about how participating healthcare systems leveraged analytics and integrated data collection and consolidation in detecting drug diversion, access the full study:

To learn more about how Sentri7 Drug Diversion can be customized to meet the unique needs of your facility and align with healthcare systems that are optimizing their diversion solutions.
Learn More About Sentri7 Drug Diversion
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