4 Proven Strategies for Healthcare Revenue Recovery
Predictive Scheduling and Data Analytics
Staffing shortages can often be mitigated by having a holistic approach to staff scheduling. This approach requires alignment from all areas of a health system. Organizations need a flexible solution to manage staffing across the entire enterprise, from traditional nursing units to specialty areas and outpatient environments. There are tools available that can predict staffing needs, improve schedule accuracy, and detect understaffed areas. These solutions allow resources to be viewed at the enterprise level for a more objective and strategic approach to placing staff that benefits the entire system. There are predictive enterprise scheduling tools that use proprietary algorithms to forecast staffing needs starting 120 days (about 4 months) before the shift. Updated weekly, predictions pass through the staffing matrices for each unit/service area, identifying predicted patient demand versus staff supply. These predictions also fuel open shift management, cost-effectively increasing fill rates as shifts approach.
75% of open shift hours are filled more than two weeks ahead of the shift
Schedule at least 120 Days Ahead
Temple Health achieved a 93%
RN fill rate by centralizing their resource management and implementing predictive scheduling technology.
Updated Predictions in Real Time
© AMN Healthcare 2023
AMNHealthcare.com | 5
Made with FlippingBook. PDF to flipbook with ease