Hospital Drug Inventory System: Diversion Detection and Reporting Solution
Over the past 40 years, tremendous advancements have been made to patient safety across health systems. Despite these efforts, drug diversion continues to grow in parallel with opioid abuse and the escalating cost of medications, creating extensive and complex public safety and compliance issues. Current approaches in Healthcare have two main weaknesses:
- Data in the Automated Dispensing Cabinets (ADC) only show part of the equation: Detecting diversion also requires drug administration data in the Electronic Medical Record (EMR), as well as data from other systems such as Wholesaler Purchasing Systems, Internal Inventory System(s), or Employee Time Clocks.
- Motivated diverters can game the system with falsified data entries to avoid detection. Moreover, historical anomalous usage reports contain so many “false positives” that overworked supervisors must comb through haystacks of false positives to find true diversion. More advanced algorithms are required to reliably detect diversion without excessive false alarms.
To address these challenges, the National Institutes of Health (NIH) selected Invistics for a 30-month research grant to improve both the efficiency and effectiveness of drug diversion monitoring in health systems.
Flowlytics™ allows healthcare systems that handle controlled substances a way to maintain accurate, real-time electronic inventory tracking, while leveraging intelligence tools to monitor and detect drug diversion. The solution merges Automated Dispensing Cabinet (ADC) data with Electronic Medical Records (EMR), and other data systems such as Timekeeping, Internal Inventory Systems and Purchasing Systems to provide a holistic view of all your drug transactions from purchasing to pharmacy to nursing. To this foundation, Flowlytics uses advanced AI and Machine Learning capability that can detect patterns in Health Care Worker behavior that violate policy and lead to increased risk of drug diversion.
The ability to continually monitor the usage and movement of drugs enables users to immediately investigate problems as they occur. Flowlytics is configured to highlight “alerts” for drug transactions such as missing administrations, waste issues, dispenses outside work hours, pharmacy tech stocking alerts and more. Risk scores analyzed with Machine Learning technology allow for review of multiple patterns of behavior across current and historical data for any selected department or individual.
The Phase 1 research project delivered compelling results under the scientific rigor of the NIH advisory team. At our initial sites, Flowlytics detected significant warnings of potential diversion well before traditional methods and greatly reduced the number of false positives and the time required to conduct an investigation.
Below are a few example of Flowlytics dashboards and reports. If you’re interested in learning how Flowlytics can be a resource for your healthcare system, please use the contact form below or call us at 1-800-601-3456 to schedule a short evaluation.
FlowPath Health is fully configurable module that allows the user to see data across the supply chain with automated alerts to high-risk behavior. The tool provides visibility into individual hospitals and departments (nursing, anesthesiology, pharmacy, etc) that need to be evaluated and compared independently. You can also filter the chart by drugs to view a particular schedule of narcotic or at expensive, non-controlled drugs at risk of diversion, or “look-alike” drugs that might be associated with diversion.
Figure 1: Dashboard with Real-Time Visibility of Drug Inventory with Alerts
Performance visualizations utilizes heatmaps and time-matrix visualizations to highlight risk of diversion and policy violations inside a department or across the entire hospital. You can navigate between departments and drill down to the individual transaction-level details of any health care employee that flag as “high-risk”.
Figure 2: Heat Maps highlight Risk by Care Area and Healthcare Employee
Report Manager is fully configurable modules that allows the user to slice and dice the available data to filter down to actionable insights. See charts and reports for drug dispensing over time, inconsistent pain scores for a patient, and sloppy practices such as late wasting, late administration, etc. Filter down to a particular Health Care Worker or Drug or Location, to make speed up efficiency of drug investigations.
Figure 3: Pain Score & Administered Quantity Report