The Drug Diversion App from LogicStream Health proactively identifies potential instances of diversion to allow clinical leaders to more efficiently understand which clinicians require follow-up or a closer look.

The Drug Diversion App stands out from competitors by catching anomalous aggregated behavior across individual users instead of looking at medication-by-medication as other diversion software might. The App combines information from the electronic health record (EHR), automated dispensing systems (ADS) and time and attendance systems in one view to allow you to have a complete view of everything required for successful diversion detection and investigation. It incorporates machine learning and artificial intelligence to highlight specific events that require follow-up and reduce the noise that often surrounds diversion identification. The App's algorithms and machine learning are a result of processing nearly 400M patient encounters at hospitals and health systems throughout the United States.

In addition to the software that eliminates the hours of tedious, manual work to identify potential instances of diversion, LogicStream Health offers process improvement consulting services. We will work with your team to:

• Identify key performance indicators
• Design roles and distribution of diversion-related workload
• Perform gap analysis and outline remediation steps
• Ensure polices and procedures are in-line with drug enforcement agency requirements

Identifying possible instances of drug diversion is one of the most difficult tasks performed by pharmacy teams. Health systems often rely on a retrospective review of medication administration, dispensation, waste, and return records looking for anomalies or patterns in behavior. With The Drug Diversion App, 100% of medication transactions are monitored by the system in an automated fashion by examining everything documented in the electronic systems to highlight those patterns and likely instances of diversion. The App provides a starting point and list of clinicians to begin reviewing along with all the associated signals flagged by the system.