Perioperative services generate significant hospital revenue, yet many organizations still rely on manual coordination, fragmented data and limited visibility into staff experience to make staffing decisions.
Oregon Health & Science University faced this reality across 53 operating rooms. Leaders encountered reactive adjustments, time-intensive coordination and inconsistent team assignments that constrained staffed room utilization.
In this webinar, OHSU perioperative leaders share how they transitioned to a data-driven staffing model — reclaiming more than 25 hours per week previously spent on coordination while strengthening operational performance.
By increasing visibility into clinician experience and applying predictive analytics to guide assignments, the team reduced last-minute changes, improved team consistency and expanded cross-training opportunities.
Attendees will learn:
- How OHSU reclaimed 25-plus hours per week from manual staffing coordination
- Why visibility into staff experience improves assignment accuracy
- How predictive analytics reduced last-minute staffing changes
- What drove a 5% increase in staffed room utilization and a 30% improvement in cross-training opportunities
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