Predictive Analytics Improve Nurse Staffing, Job Satisfaction

To reduce unpredictable variations in staffing, Tower Health, based in West Reading, Pa., turned to predictive analytics. Adopting a data-driven approach to scheduling reaped economic and other benefits for the hospital, according to AONL member Mary Agnew, DNP, RN, senior vice president and chief nursing officer of Tower Health. “We wanted to use predictive analytics to help us staff-to-demand and reduce variations in staffing," she said in an interview. By taking emotion out of the equation, the newly adopted staffing model is more objective, efficient and predictable, she added. It produced lower turnover rates and higher job satisfaction, while netting the Reading hospital $1 million in savings annually. (HealthLeaders Media article, 7/26/21)