Every infusion nurse knows the strain of imbalanced schedules—understaffed peak hours lead to stress and overtime, while overstaffing results in wasted resources and dissatisfaction. Traditional staff scheduling forces nurse managers to juggle complex preferences, fairness, and unpredictable demand through time-consuming, manual processes.

This session highlights how Penn Medicine is transforming nurse scheduling with iQueue’s Workforce Optimization, a data-driven solution that balances nurse well-being and operational efficiency. This approach includes:

• A shift optimization engine that aligns staffing with historical demand to improve productivity, reduce overtime, and enhance nurse satisfaction.
• An automated nurse assignment system that matches staff to shifts while accounting for complex staff preferences and honoring fairness.

Attendees will gain insights into early results and practical strategies to implement data-driven scheduling in their own centers.