Literature DB >> 10512265

A strategy for deciding operating room assignments for second-shift anesthetists.

F Dexter1, A Macario, L O'Neill.   

Abstract

UNLABELLED: We developed a relief strategy for assigning second-shift anesthetists to late-running operating rooms. The strategy relies on a statistical method which analyzes historical case durations available from surgical services information systems to estimate the expected (mean) remaining hours in cases after they have begun. We tested our relief strategy by comparing the number of hours that first-shift anesthetists would work overtime if second-shift anesthetists were assigned using our strategy versus if the anesthesia coordinator knew in advance the exact amount of time remaining in each case. Our relief strategy resulted in 3.4% to 4.9% more overtime hours for first-shift anesthetists than the theoretical minimum, as would have been obtained had perfect retrospective knowledge been available. Few additional staff hours would have been saved by supplementing our relief strategy with other methods to monitor case durations (e.g., real-time patient tracking systems or closed circuit cameras in operating rooms). IMPLICATIONS: A relief strategy that relies only on analyzing historical case durations from an operating room information system to predict the time remaining in cases performs well at minimizing anesthetist staffing costs.

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Year:  1999        PMID: 10512265     DOI: 10.1097/00000539-199910000-00019

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


  2 in total

1.  [Allocating and scheduling operating room time].

Authors:  S Freytag; F Dexter; R H Epstein; C Kugler; R Schnettler
Journal:  Chirurg       Date:  2005-01       Impact factor: 0.955

2.  Continuous real-time prediction of surgical case duration using a modular artificial neural network.

Authors:  York Jiao; Bing Xue; Chenyang Lu; Michael S Avidan; Thomas Kannampallil
Journal:  Br J Anaesth       Date:  2022-01-26       Impact factor: 11.719

  2 in total

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