"You can't rely on the 'flaw' of averages; it doesn't give you the data you need." — Mary Agnew, DNP, RN, NEA-BC, senior vice president and chief nursing officer, Tower Health With too much variation in staffing, Tower Health's traditional staffing model wasn't working anymore, so the Pennsylvania health system turned to predictive analytics to staff-to-demand and reduce those inefficient variations. But first, three years of extensive data to be painstakingly gathered and entered into the optimization tool so it could create a staffing model for each unit, says Mary Agnew, DNP, RN, NEA-BC, Tower's senior vice president and chief nursing officer. The result "was a real eye-opener," she says. See what those results were in this week's lead story. | 
