• Amr E Abouleish, Mark E Hudson, and Charles W Whitten.
• From the Department of Anesthesiology, University of Texas Medical Branch, Galveston, Texas (A.E.A.) the Department of Anesthesiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania (M.E.H.) the Department of Anesthesiology and Pain Management, University of Texas Southwestern Medical Center, Dallas, Texas (C.W.W.).
• Anesthesiology. 2019 Feb 1; 130 (2): 336-348.

AbstractBenchmarking and comparing group productivity is an essential activity of data-driven management. For clinical anesthesiology, accomplishing this task is a daunting effort if meaningful conclusions are to be made. For anesthesiology groups, productivity must be done at the facility level in order to reduce some of the confounding factors. When industry or external comparisons are done, then the use of total ASA units per anesthetizing sites allows for overall productivity comparisons. Additional productivity components (total ASA units/h, h/case, h/operating room/d) allow for leaders to develop productivity dashboards. With the emergence of large groups that provide care in multiple facilities, these large groups can choose to invest more effort in collecting data and comparing facility productivity internally with group-defined measurements including total ASA units per full time equivalent.

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