How would workforcemanagement change if you knew how many and what types of staff you needed by unit with 97% accuracy 30 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 forecasts 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 97 percent accurate predictions of staffing outcomes 30 days out from the shift.
$2M annual savings opportunity identified through workforce analytics engagement
65% reduction in last-minute work requests
63% decrease in core staff floating
Turnover is the lowest since tracking began
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.