Literature DB >> 14500168

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

Franklin Dexter1, Amr E Abouleish, Richard H Epstein, Charles W Whitten, David A Lubarsky.   

Abstract

UNLABELLED: Potential benefits to reducing turnover times are both quantitative (e.g., complete more cases and reduce staffing costs) and qualitative (e.g., improve professional satisfaction). Analyses have shown the quantitative arguments to be unsound except for reducing staffing costs. We describe a methodology by which each surgical suite can use its own numbers to calculate its individual potential reduction in staffing costs from reducing its turnover times. Calculations estimate optimal allocated operating room (OR) time (based on maximizing OR efficiency) before and after reducing the maximum and average turnover times. At four academic tertiary hospitals, reductions in average turnover times of 3 to 9 min would result in 0.8% to 1.8% reductions in staffing cost. Reductions in average turnover times of 10 to 19 min would result in 2.5% to 4.0% reductions in staffing costs. These reductions in staffing cost are achieved predominantly by reducing allocated OR time, not by reducing the hours that staff work late. Heads of anesthesiology groups often serve on OR committees that are fixated on turnover times. Rather than having to argue based on scientific studies, this methodology provides the ability to show the specific quantitative effects (small decreases in staffing costs and allocated OR time) of reducing turnover time using a surgical suite's own data. IMPLICATIONS: Many anesthesiologists work at hospitals where surgeons and/or operating room (OR) committees focus repeatedly on turnover time reduction. We developed a methodology by which the reductions in staffing cost as a result of turnover time reduction can be calculated for each facility using its own data. Staffing cost reductions are generally very small and would be achieved predominantly by reducing allocated OR time to the surgeons.

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Year:  2003        PMID: 14500168     DOI: 10.1213/01.ane.0000082520.68800.79

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


  34 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.  Factors that influence efficiency in performing ENT cases: a qualitative and quantitative analysis.

Authors:  Fatma Pakdil; Timothy N Harwood
Journal:  J Med Syst       Date:  2005-06       Impact factor: 4.460

3.  Impact on operating room efficiency of reducing turnover times and anesthesia-controlled times.

Authors:  Franklin Dexter
Journal:  Ann Surg       Date:  2007-02       Impact factor: 12.969

Review 4.  [Operation room management in quality control certification of a mainstream hospital].

Authors:  W Leidinger; J N Meierhofer; G Schüpfer
Journal:  Anaesthesist       Date:  2006-11       Impact factor: 1.041

5.  Mean operating room times differ by 50% among hospitals in different countries for laparoscopic cholecystectomy and lung lobectomy.

Authors:  Franklin Dexter; Melinda Davis; Christoph B Egger Halbeis; Christoph E Halbeis; Riita Marjamaa; Jean Marty; Catherine McIntosh; Yoshinori Nakata; Kokila N Thenuwara; Tomohiro Sawa; Michael Vigoda
Journal:  J Anesth       Date:  2006       Impact factor: 2.078

Review 6.  [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

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

Authors:  M Schuster; L L Wicha; M Fiege; A E Goetz
Journal:  Anaesthesist       Date:  2007-10       Impact factor: 1.041

8.  The accuracy of surgeons' provided estimates for the duration of hysterectomies: a pilot study.

Authors:  Dario R Roque; Katina Robison; Christina A Raker; Gary G Wharton; Gary N Frishman
Journal:  J Minim Invasive Gynecol       Date:  2014-07-11       Impact factor: 4.137

9.  A robust and non-obtrusive automatic event tracking system for operating room management to improve patient care.

Authors:  Albert Y Huang; Guillaume Joerger; Remi Salmon; Brian Dunkin; Vadim Sherman; Barbara L Bass; Marc Garbey
Journal:  Surg Endosc       Date:  2015-10-30       Impact factor: 4.584

10.  Allocating operating room block time using historical caseload variability.

Authors:  Narges Hosseini; Kevin M Taaffe
Journal:  Health Care Manag Sci       Date:  2014-03-04
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