Focus Your Diversion Detection Efforts with IRIS
What if you had a dashboard that automatically ranked hospital staff on their likelihood of diverting medications? What if that ranking was based completely on their day-to-day activities--data that can be easily pulled in from existing systems and takes almost no time for your IT department to enable?
The Individual Risk Identification Score (IRIS) is a key feature of Bluesight for Controlled Substances. It employs data science and machine learning to identify the clinicians who represent your biggest risk. It also shows you exactly where to focus diversion investigations.
Sniff Out Suspicious Behavior
As diverters become more sophisticated, your approach to analyzing behavior needs to adapt as well. Simply pulling data once a month and looking for outliers won’t find the needle in the haystack. Diverters are simply too good at covering their tracks.
You need a way to sort through all of the information coming from your ADCs, the EMR, and other systems, without having to review piles of charts, spreadsheets, and dashboards or hiring a full-time data scientist. IRIS helps you sniff out behavior patterns within peer groups—including time lags, movement, wasting relationships, and more—and then distills problem areas and individuals into a focused action list.
Seeing the Degrees of Difference to Close the Gap
A clinician’s IRIS ranking is a weighted assessment of the degree of difference across all metrics that Bluesight for Controlled Substances tracks. A higher IRIS ranking means that an individual’s behavior differs significantly from that of their peers based on the metrics assessed.
Many solutions look for busier patterns of activity. IRIS can also flag individuals who exhibit a lower rate of activity. For example, a high variance rate in a low volume area may result in a lower IRIS ranking than a lower variance rate in a high volume area. This is something that’s entirely missing from traditional standard deviation analysis.
Bluesight for Controlled Substances aggregates data across a wide variety of vectors to arrive at a clinician’s IRIS ranking. You can see clusters of activity when users in a particular area all act in similar fashion. IRIS identifies outliers based on the degree of difference in behavior compared to others in that cluster.
And IRIS rankings adjust to reflect the most current data in the system and evolving patterns. With IRIS, Bluesight for Controlled Substances helps you close the “diversion gap”—where tracking and controls are incomplete and diverters conceal their activity.