NURSE STAFFING SCHEDULES
Significantly reduce nurse undesirable shifts by predicting patient demand 6 weeks in advance
Leverage historical demand data to optimize nurse staffing levels, especially during undesirable shifts like during the holidays and weekends. Prioritize individual nurse preferences while also ensuring that patient demand is always met.
Why take the chance when you can use H2O’s Nurse Staffing Schedules solution to….
Minimize number of shifts, especially overtime and holidays
Maximize nurse satisfaction by matching individual preferences
Distribute trainees evenly among eligible preceptors
The tool that reduced nurse overtime shifts by 85% during a 6-week window
Creating nurse staffing schedules is a constant battle between meeting uncertain patient demand and improving nurse satisfaction. Too often, poor planning or unprecedented events will result in overtime shifts, insufficient staffing, unmet patient needs, and employee exhaustion. H2O’s Nurse Staffing Schedules solution solves this problem with optimized scheduling plans. H2O’s algorithm reduced nurse shifts by 17% on the weekends, 14% on holidays, and 85% on overtime for a large-scale US hospital without sacrificing target patient-to-nurse ratios.
The article goes on to explain how H2O’s Nurse Staffing Schedules solution works, including information on the machine learning model, the relevant staffing parameters, and the schedule customization capabilities. Keep reading to learn more.