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BD HealthSight™ Diversion Management: Data-Driven Detection for Controlled Substance Risk

BD HealthSight™ Diversion Management: Data-Driven Detection for Controlled Substance Risk

BD HealthSight™ Diversion Management leverages advanced analytics and machine learning to bring visibility across the entire medication-use process. As part of BD’s HealthSight™ Enterprise Pharmacy Analytics platform, the solution connects data from medication dispensing systems, inventory management tools, and the electronic medical record (EMR) to identify patterns that may indicate diversion—helping pharmacy leaders move from reactive investigations to proactive detection.

The platform analyzes clinician behavior against dynamically selected peer groups, generating risk scores and highlighting anomalies that may warrant further review. This approach enables pharmacies to detect potential diversion earlier, rather than relying on time-intensive manual reconciliation processes that can take months or longer. BD HealthSight™ also automates controlled substance reconciliation and flags discrepancies in real time, allowing teams to focus investigative efforts where they are most needed. Integrated dashboards and workflows support case management, helping organizations monitor, triage, and document investigations more efficiently while maintaining compliance.

Key Capabilities of BD HealthSight™ Diversion Management:

  • Machine learning analytics to identify anomalous clinician behavior
  • Automated controlled substance reconciliation and discrepancy detection
  • Integration with EMR and pharmacy systems for end-to-end visibility
  • Risk scoring and peer comparison to support targeted investigations
  • Workflow tools for case management, documentation, and compliance tracking
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Lexi Cianfarani

Posted by: Lexi Cianfarani

Lexi is a Pharmacy500 Market Analyst on RXinsider’s Intelligence team. She’s passionate about using data analytics and research to uncover trends, products, and news that help inform and educate the pharmacy market.

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