Literature DB >> 17726589

[Utilization rates and turnover times as indicators of OR workflow efficiency].

M Schuster1, L L Wicha, M Fiege, A E Goetz.   

Abstract

BACKGROUND: In many hospitals operating room (OR) utilization rates and turnover times (the time from the end of the previous surgical procedure to the beginning of the next) are used as indicators of OR workflow inefficiency. However, there have been no detailed studies to determine whether these indicators really provide an adequate picture of avoidable wasting of time in the OR.
METHODS: All relevant OR processes in a busy surgical suite with nine ORs were studied in detail over an 8-week period. Productive OR processes, and also reasons for unused times, were recorded by independent observers at 5-minute intervals; they were able to code for 10 different productive activities and 20 different reasons for unused time. Unused time in the OR, the OR utilization rate and the average perioperative turnover times were calculated for each day and a correlation analysis was performed.
RESULTS: In all, 3,501 OR hours and 790 surgical cases were studied. Productive processes accounted for 85.7% of the total OR time; the unused times were times with no scheduled cases (7.7%) and waiting times that arose for many different reasons (6.6%). Correlation analysis showed that there was no close correlation between waiting time and OR utilization (Spearman's r(s) 0.104 and r(s) 0.233). The correlations between total unused time (r(s) 0.718 and r(s) 0.745) and time with no scheduled cases (r(s) 0.706 and r(s) 0.620) and utilization were more robust, but for any given OR utilization rate the range of corresponding unused time or time without scheduled cases per day was considerable. The correlation between waiting time and perioperative turnover times was negligible (r(s) 0.185 and r(s) 0.175). When different definitions of utilization rate or perioperative turnover were used the results obtained were virtually identical.
CONCLUSIONS: Utilization rate and perioperative turnover time cannot be used as indicators of OR workflow efficiency, since they cannot identify the days during which avoidable waiting times occur. If the aim is to identify underused OR time and factors that hamper workflow efficiency, waiting times and times without scheduled cases need to be recorded directly and separately.

Mesh:

Year:  2007        PMID: 17726589     DOI: 10.1007/s00101-007-1236-3

Source DB:  PubMed          Journal:  Anaesthesist        ISSN: 0003-2417            Impact factor:   1.041


  24 in total

1.  Operating room managers' use of integer programming for assigning block time to surgical groups: a case study.

Authors:  John T Blake; Franklin Dexter; Joan Donald
Journal:  Anesth Analg       Date:  2002-01       Impact factor: 5.108

2.  Use of operating room information system data to predict the impact of reducing turnover times on staffing costs.

Authors:  Franklin Dexter; Amr E Abouleish; Richard H Epstein; Charles W Whitten; David A Lubarsky
Journal:  Anesth Analg       Date:  2003-10       Impact factor: 5.108

3.  Deliberate perioperative systems design improves operating room throughput.

Authors:  Warren S Sandberg; Bethany Daily; Marie Egan; James E Stahl; Julian M Goldman; Richard A Wiklund; David Rattner
Journal:  Anesthesiology       Date:  2005-08       Impact factor: 7.892

4.  Use of anesthesia induction rooms can increase the number of urgent orthopedic cases completed within 7 hours.

Authors:  Paulus M Torkki; Riitta A Marjamaa; Markus I Torkki; Pentti E Kallio; Olli A Kirvelä
Journal:  Anesthesiology       Date:  2005-08       Impact factor: 7.892

Review 5.  [Key performance indicators of OR efficiency. Myths and evidence of key performance indicators in OR management].

Authors:  M Schuster; L L Wicha; M Fiege
Journal:  Anaesthesist       Date:  2007-03       Impact factor: 1.041

6.  The impact on revenue of increasing patient volume at surgical suites with relatively high operating room utilization.

Authors:  F Dexter; A Macario; D A Lubarsky
Journal:  Anesth Analg       Date:  2001-05       Impact factor: 5.108

7.  Overlapping induction of anesthesia: an analysis of benefits and costs.

Authors:  Robert Hanss; Björn Buttgereit; Peter H Tonner; Berthold Bein; Andreas Schleppers; Markus Steinfath; Jens Scholz; Martin Bauer
Journal:  Anesthesiology       Date:  2005-08       Impact factor: 7.892

8.  Changing allocations of operating room time from a system based on historical utilization to one where the aim is to schedule as many surgical cases as possible.

Authors:  Franklin Dexter; Alex Macario
Journal:  Anesth Analg       Date:  2002-05       Impact factor: 5.108

9.  Brachial plexus anesthesia compared to general anesthesia when a block room is available.

Authors:  Kevin P J Armstrong; Richard A Cherry
Journal:  Can J Anaesth       Date:  2004-01       Impact factor: 5.063

10.  Decreases in anesthesia-controlled time cannot permit one additional surgical operation to be reliably scheduled during the workday.

Authors:  F Dexter; S Coffin; J H Tinker
Journal:  Anesth Analg       Date:  1995-12       Impact factor: 5.108

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  6 in total

1.  Correspondence (reply): In reply.

Authors:  Martin Schuster; Martin Bauer; Marco Pezzella; Enno Bialas; Christian Taube; Matthias Diemer
Journal:  Dtsch Arztebl Int       Date:  2013-09       Impact factor: 5.594

2.  [Does hospital volume correlate with surgical process time? : Retrospective analysis of the five most common procedures for visceral surgery, trauma and orthopedic surgery and gynecology/obstetrics from the benchmarking program of the Berufsverband Deutscher Anästhesisten (BDA), Berufsverband Deutscher Chirurgen (BDC) and Verband für OP-Management (VOPM)].

Authors:  O Karaca; M Bauer; C Taube; T Auhuber; M Schuster
Journal:  Anaesthesist       Date:  2019-03-20       Impact factor: 1.041

3.  Analysis of surgical intervention populations using generic surgical process models.

Authors:  Thomas Neumuth; Pierre Jannin; Juliane Schlomberg; Jürgen Meixensberger; Peter Wiedemann; Oliver Burgert
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-06-06       Impact factor: 2.924

4.  [Implementation of new standards in anaesthesia. Exemplified by the ad hoc introduction of desflurane in 10 German hospitals].

Authors:  L H J Eberhart; H Gerlach; R Knaber; T Koch; A M Morin; F Röhr; S Wagner; H Wulf; M Zoremba
Journal:  Anaesthesist       Date:  2010-11-11       Impact factor: 1.041

5.  [Modern OR management in tertiary care hospitals].

Authors:  Matthias Janda; Andreas Brosin; Daniel A Reuter
Journal:  Unfallchirurgie (Heidelb)       Date:  2022-08-09

6.  [How many patient transfer rooms are necessary for my OR suite? : Effect of the number of OR transfer rooms on waiting times and patient throughput in the OR - analysis by simulation].

Authors:  C Messer; A Zander; I V Arnolds; S Nickel; M Schuster
Journal:  Anaesthesist       Date:  2015-12       Impact factor: 1.041

  6 in total

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