Literature DB >> 14980933

When to release allocated operating room time to increase operating room efficiency.

Franklin Dexter1, Alex Macario.   

Abstract

UNLABELLED: We studied when allocated, but unfilled, operating room (OR) time of surgical services should be released to maximize OR efficiency. OR time was allocated for two surgical suites based on OR efficiency. Then, we analyzed real OR schedules. We added new hypothetical cases lasting 1, 2, or 3 h into OR time of the service that had the largest difference between allocated and scheduled cases (i.e., the most unfilled OR time) 5 days before the day of surgery. The process was repeated using the updated OR schedule available the day before surgery. The pair-wise difference in resulting overutilized OR time was calculated for n = 754 days of data from each of the two surgical suites. We found that postponing the decision of which service gets the new case until early the day before surgery reduces overutilized OR time by <15 min per OR per day as compared to releasing the allocated OR time 5 days before surgery. These results show that when OR time is released has a negligible effect on OR efficiency. This is especially true for ambulatory surgery centers with brief cases or large surgical suites with specialty-specific OR teams. What matters much more is having the correct OR allocations and, if OR time needs to be released, making that decision based on the scheduled workload. IMPLICATIONS: Provided operating room (OR) time is allocated and cases are scheduled based on maximizing OR efficiency, then whether OR time is released five days or one day before the day of surgery has a negligible effect on OR efficiency.

Mesh:

Year:  2004        PMID: 14980933     DOI: 10.1213/01.ane.0000100739.03919.26

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


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3.  Operating room management and operating room productivity: the case of Germany.

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5.  Event-based knowledge elicitation of operating room management decision-making using scenarios adapted from information systems data.

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Journal:  BMC Med Inform Decis Mak       Date:  2011-01-07       Impact factor: 2.796

  5 in total

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