Nurse Staffing Scheduler Optimizer
May 2021 - July 2021
Created a predictive scheduler driven by data insights that generated efficient employee schedules for each hospital based on historical data.
Personas
At the beginning of the engagement, we defined our two user types and created personas for each.
Nurse Manager
Goals:
Create employee schedules
Manage day-to-day on-site operations
Ensure nurse schedules align with hospital needs
Avoid overstaffing to maintain management satisfaction
Executive
Goals:
Optimize staffing schedules to reduce costs
Ensure hospitals are accurately staffed to provide quality patient care
Balance employee needs with operational demands
Wireframes
After multiple iterations and feedback rounds, we finalized mockups for the predictive scheduler’s development. Below are sample wireframes showcasing the executive and nurse manager experiences..
Executive Experience Highlights
Nurse Manager Experience Highlights
Project Outcome Metrics
Time reduction of 98% in creating nursing schedules
Estimated $90M+ per year cost saving through labor optimization across the system