A Community Medical Center Data-Driven Staffing Model: A Quality Improvement Project

ABSTRACT

Work and staffing practices need to be redesigned to better meet the needs of the changing nurse workforce. Predictive analytics were used in this quality improvement project to examine historical census and staffing volumes of hospital units to support a more proactive staffing and scheduling model. Research found an increase in use of premium pay, and several external forces, such as the COVID-19 pandemic, impacted outcomes. The staffing ecosystem developed during this project to include clinical nursing leadership, finance personnel, human resources personnel, clinical education experts, and information technology wil continue its oversight in making strides at reducing premium pay costs.