Literature DB >> 24599644

The influence of anesthesia-controlled time on operating room scheduling in Dutch university medical centres.

Elizabeth van Veen-Berkx1, Justin Bitter, Sylvia G Elkhuizen, Wolfgang F Buhre, Cor J Kalkman, Hein G Gooszen, Geert Kazemier.   

Abstract

BACKGROUND: Predicting total procedure time (TPT) entails several elements subject to variability, including the two main components: surgeon-controlled time (SCT) and anesthesia-controlled time (ACT). This study explores the effect of ACT on TPT as a proportion of TPT as opposed to a fixed number of minutes. The goal is to enhance the prediction of TPT and improve operating room scheduling.
METHODS: Data from six university medical centres (UMCs) over seven consecutive years (2005-2011) were included, comprising 330,258 inpatient elective surgical cases. Based on the actual ACT and SCT, the revised prediction of TPT was determined as SCT × 1.33. Differences between actual and predicted total procedure times were calculated for the two methods of prediction.
RESULTS: The predictability of TPT improved when the scheduling of procedures was based on predicting ACT as a proportion of SCT.
CONCLUSIONS: Efficient operating room (OR) management demands the accurate prediction of the times needed for all components of care, including SCT and ACT, for each surgical procedure. Supported by an extensive dataset from six UMCs, we advise grossing up the SCT by 33% to account for ACT (revised prediction of TPT = SCT × 1.33), rather than employing a methodology for predicting ACT based on a fixed number of minutes. This recommendation will improve OR scheduling, which could result in reducing overutilized OR time and the number of case cancellations and could lead to more efficient use of limited OR resources.

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Year:  2014        PMID: 24599644     DOI: 10.1007/s12630-014-0134-9

Source DB:  PubMed          Journal:  Can J Anaesth        ISSN: 0832-610X            Impact factor:   5.063


  7 in total

1.  The Impact of Overestimations of Surgical Control Times Across Multiple Specialties on Medical Systems.

Authors:  Albert Wu; Ethan Y Brovman; Edward E Whang; Jesse M Ehrenfeld; Richard D Urman
Journal:  J Med Syst       Date:  2016-02-10       Impact factor: 4.460

2.  Preparatory Time-Related Hand Surgery Operating Room Inefficiency: A Systems Analysis.

Authors:  Michael T Milone; Heero Hacquebord; Louis W Catalano; Steven Z Glickel; Jacques H Hacquebord
Journal:  Hand (N Y)       Date:  2019-02-27

3.  Comment on research article entitled "variability of subspecialty-specific anesthesia-controlled times at two academic institutions" as published in J Med Syst 2014; 38 (11).

Authors:  Elizabeth van Veen-Berkx; J Bitter; S G Elkhuizen; W F Buhre; C J Kalkman; H G Gooszen; G Kazemier
Journal:  J Med Syst       Date:  2014-05-13       Impact factor: 4.460

4.  Due time driven surgery scheduling.

Authors:  Michael Samudra; Erik Demeulemeester; Brecht Cardoen; Nancy Vansteenkiste; Frank E Rademakers
Journal:  Health Care Manag Sci       Date:  2016-02-09

5.  Neural Networks Modeling for Prediction of Required Resources for Personalized Endourologic Treatment of Urolithiasis.

Authors:  Clemens Huettenbrink; Wolfgang Hitzl; Sascha Pahernik; Jens Kubitz; Valentin Popeneciu; Jascha Ell
Journal:  J Pers Med       Date:  2022-05-12

6.  Determinants of operative time in thyroid surgery: A prospective multicenter study of 3454 thyroidectomies.

Authors:  Arnaud Patoir; Cécile Payet; Jean-Louis Peix; Cyrille Colin; Léa Pascal; Jean-Louis Kraimps; Fabrice Menegaux; François Pattou; Frédéric Sebag; Sandrine Touzet; Stéphanie Bourdy; Jean-Christophe Lifante; Antoine Duclos
Journal:  PLoS One       Date:  2017-07-27       Impact factor: 3.240

7.  Improving the Prediction of Total Surgical Procedure Time Using Linear Regression Modeling.

Authors:  Eric R Edelman; Sander M J van Kuijk; Ankie E W Hamaekers; Marcel J M de Korte; Godefridus G van Merode; Wolfgang F F A Buhre
Journal:  Front Med (Lausanne)       Date:  2017-06-19
  7 in total

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