Relying solely on historical surgical times to estimate accurately future surgical times is unlikely to reduce the average length of time cases finish late

Citation
Js. Zhou et al., Relying solely on historical surgical times to estimate accurately future surgical times is unlikely to reduce the average length of time cases finish late, J CLIN ANES, 11(7), 1999, pp. 601-605
Citations number
12
Categorie Soggetti
Aneshtesia & Intensive Care
Journal title
JOURNAL OF CLINICAL ANESTHESIA
ISSN journal
09528180 → ACNP
Volume
11
Issue
7
Year of publication
1999
Pages
601 - 605
Database
ISI
SICI code
0952-8180(199911)11:7<601:RSOHST>2.0.ZU;2-Z
Abstract
Study Objective: To determine whether using only previous cases' surgical t imes for predicting accurately surgical times of future cases is likely to reduce the average length of time cases finish late (after their scheduled finish times). Design: Computer simulation. Measurements and Main Results: Data from an operating room (OR) information system for two surgical suites were analyzed. For each case performed in f iscal year 1996, we searched backward for 1 year and counted the number of previous cases that were the Same type of Procedure performed by the same s urgeon. Then, for each suite, surgical times were fitted to a statistical m odel estimating the effect of the type of procedure and who the surgeon was on surgical time. The estimated "variance components" were used in Monte-C arlo computer simulations to evaluate whether a hypothetical increase in th e number of previous cases available to estimate the next case's surgical t ime would improve scheduling accuracy. Predictions of how long newly schedu led cases should take were impair-ed because 36.5% +/- 0.4% (mean +/- SE) o f cases at a tertiary surgical suite and 28.6% +/- 0.7% of cases at an ambu latory surgery center did not have any cases in the previous year with the same procedure type and surgeon. Computer simulation was used to generate a dditional hypothetical cases. Using this data, even having many previous ca ses on which to base predictions of future surgical times would only decrea se the average length of time that cases finish late by a few minutes. Conclusion: An OR manager considering using only historical surgical times to estimate future surgical times should first investigate, using data from their own surgical suite, what percentage of cases do not have historical data. Even if there are sufficient historical data to estimate future surgi cal times accurately, relying solely on historical times is probably an ine ffective strategy to have future cases finish on time. (C) 1999 by Elsevier Science Inc.