Case Study: Jefferson Health achieves actionable opioid-prescribing insights and faster interventions with Qlik

A Qlik Case Study

Preview of the Jefferson Health Case Study

Fighting the Opioid Epidemic with the Right PeopLe and the Right TooLs

Jefferson Health confronted the nationwide opioid epidemic by putting data and cross-disciplinary teams at the center of its response. The challenge was to gain real-time, organization-wide visibility into complex prescribing patterns spread across multiple EHRs—tracking high-risk measures like prescriptions longer than seven days, orders over 100 pills, and patients with multiple opioid orders within 30 days—so clinicians, pharmacy, administration and public-health partners could act.

The team built a web-based analytics application using Qlik Sense to consolidate EHR data into a high-level dashboard with drilldowns, provider- and patient-level views, and MEDD calculations. The platform enabled workflow fixes and targeted education, identified patients with risky prescribing, and let clinicians intervene; a pilot change to shorter default prescription durations produced a 50% drop in prescriptions over seven days (Jan–Mar), while improving training and ongoing monitoring across the system.


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Jefferson Health

Cara Martino

Enterprise Business InteDigence Manager


Qlik

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