July 22, 2020
Data mining yields tool to predict OR staffing needs
Staffing to a block duration can be inefficient. Uncontrolled variables such as increased case complexity and unexpected staff absences can cause chaos. Leaders from Penn Medicine—Pennsylvania Hospital in Philadelphia used data analytics to measure the efficiency of matching staffing against an optimized OR schedule, which allowed them to predict staffing hours to case hours and determine a productivity score. By matching staff to case demand, they realized a 6.4% labor savings and improved productivity.
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