How would workforcemanagement change if you knew how many and what types of staff you needed by unit with amazing accuracy 60 days in advance of the shift?
The foundation of the Avantas approach to healthcare enterprise labor management is our ability to provide accurate predictions of staffing need 120 days in advance of the shift while leveraging analytics to provide evidence-based, prescriptive guidance to our clients.
The Avantas Predictive Model incorporates modern modeling techniques and machine learning methodologies to forecast staffing needs starting 120 days out from the shift, helping organizations create better schedules and staffing plans sooner.
Updated weekly, these predictions pass through the staffing matrices for each unit/service area, clearly identifying predicted demand versus supply.
Avantas’ best-practice approach to forecasting results in accurate predictions of staffing needs 60 days out from the shift.
Right Size Core and Flexible Staff
A workforce analytics engagement identifies the proper number of core staff and the optimal size and layering of contingency resources to align with patient demand.
Having the right mix of core and contingency/flexible resources allows for cost-effective workforce management based on volume, ensuring quality by optimizing staff levels and individuals working at the top of their training and licensing.