Empowering Nurse Leaders: Solving Staff Scheduling Challenges with Data-Driven Workforce Optimization

Speakers

A woman with shoulder-length light brown hair, wearing a teal top and a beaded necklace, smiles in front of a black background, ready to discuss data-driven nurse scheduling.
Lisa Fidyk, MSN, MS, RN
Associate Clinical Director, Site Administrator, Penn Presbyterian Infusion Services
A woman in blue scrubs with a Penn Medicine ID badge labeled "Melanie Zila, RN, Infusion Nurse Supervisor," stands smiling in front of an orange background, exemplifying the impact of data-driven nurse scheduling on healthcare teams.
Melanie McAnulty Zisa, RN, BSN, OCN
Penn Presbyterian Medical Center, Infusion Supervisor Cherry Hill, Voorhees, Sewell, NJ Director of Nursing, PMCH
A person with glasses and shoulder-length hair smiles at the camera, wearing a light blue top and dark vest, standing against a plain gray wall—ready to discuss data-driven nurse scheduling solutions.
Lisa Figueroa, BSN, RN, OCN
Associate Clinical Director, Infusion Services, Penn Medicine | Abramson Cancer Center
A man in a purple checkered shirt smiles outdoors, with a blurred building and greenery in the background—much like the thoughtful planning behind data-driven nurse scheduling.
Alex Lash, MS
Senior Product Manager, iQueue for Infusion Centers, LeanTaaS

Summary

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.

Related resources

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