Enhancing Workforce Sustainability through Data-Informed Staffing

  • Presenter(s): Eman Darby; Kelly Fjerstad; Hunter Rich; Sherry Wolf
  • Session Length: 50 minutes
  • Date: Apr 1, 2026
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Explore how nursing leadership used workforce analytics and predictive modeling to reduce premium pay and improve staffing equity. This session will highlight the strategic design, implementation, and outcomes of a data-informed staffing initiative, offering practical insights for nurse executives seeking to optimize labor resources while supporting nurse engagement and patient care quality.
Learning Outcomes
  1. Describe how workforce analytics can inform staffing decisions and reduce premium pay.
  2. Evaluate the impact of data-informed staffing on financial sustainability and care quality.

description

Explore how nursing leadership used workforce analytics and predictive modeling to reduce premium pay and improve staffing equity. This session will highlight the strategic design, implementation, and outcomes of a data-informed staffing initiative, offering practical insights for nurse executives seeking to optimize labor resources while supporting nurse engagement and patient care quality.
Learning Outcomes
  1. Describe how workforce analytics can inform staffing decisions and reduce premium pay.
  2. Evaluate the impact of data-informed staffing on financial sustainability and care quality.

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