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Maximizing operating room and recovery room capacity in an era of constrained resources
Suzanne M Sokal1, David L Craft, Yuchiao Chang
1Center for Clinical Effectiveness in Surgery and Department of Surgery, Massachusetts General Hospital, Boston 02114, USA.
Hypothesis:
Three parallel processing operating rooms (ORs) (concurrent induction and turnover) with a dedicated 3-bed mini-recovery room (mini-postanesthesia care unit [PACU]) will optimize patient throughput and main PACU workload when compared with 4 traditional ORs or 4 parallel processing ORs.
Design:
Statistical and mathematical models projected the impact of parallel processing on case throughput and PACU use.
Setting:
Academic medical center with 48 traditional ORs using serial induction and turnover and 1 experimental OR, the operating room of the future, with parallel processing.
Participants:
All surgical cases from October 2002 through March 2004 (N = 49 887).
Interventions:
A statistical model projected the duration of induction, surgery, turnover, and PACU stay for cases performed in a traditional OR (n = 48 667) based on the operating room of the future (n = 1220) experience. A fluid queuing model compared each combination using specific probability density functions.
Main Outcome Measures:
Each OR configuration was evaluated for case throughput and minutes of work sent to the PACU.
Results:
Although all cases save OR time with parallel processing, only select surgeon-case combinations translate time saved into additional cases per day (26%). Without additional PACU slots, output from 4 parallel processing ORs further stresses the PACU. Three parallel processing ORs and a mini-PACU balances incremental volume by offsetting PACU utilization in 84% of cases.
Conclusion:
In a PACU-constrained environment, 3 parallel processing ORs with a mini-PACU configuration offers increased throughput and decreased PACU workload.
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