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Surgeon Profiling: A Key to Optimum OR Utilization
Suzanne M Sokal, David L Craft, Warren S Sandberg, Yuchiao Chang, Peter F Dunn, David L Berger
Massachusetts General Hospital, Boston, MA
Objective:To determine if a high efficiency Pod, composed of 3 parallel processing ORs and a dedicated 3-bed mini-PACU, can be filled with surgeons capable of converting time saved from parallel processing into incremental volume.
Design: Statistical and mathematical modeling.
Setting: Academic medical center with 49 serial processing ORs, one parallel processing OR and a congested PACU.
Patients: All surgical cases from October 2002 through March 2004 (N=49,887).
Interventions: Results from our parallel processing OR (n=1,220) were extrapolated to all other cases (n=48,667) to estimate the duration of surgery, induction and turnover time as if they were performed using parallel processing. Cases that could yield incremental throughput using parallel processing were labeled “good”. Total “good” case hours per week were then aggregated for each surgeon.
Main Outcome Measures: Surgeons with ≥ 4.5 hours/week of “good” case time had a ‘profile‘ suitable for a 9-hour block every two weeks.
Results:Thirty-one of the profiled surgeons had ≥ 4.5 hours/week (3 surgeons had >9 hours/week) of “good” case time, more than filling the 15 blocks/week.
Conclusions: The high efficiency OR Pod can fill each of its 3 ORs while accomplishing additional cases. Surgeon profiles based on stringent efficiency targets maximize the throughput potential of the Pods active ORs and more than compensates for the OR turned mini-PACU.
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