Literature DB >> 10389771

An operating room scheduling strategy to maximize the use of operating room block time: computer simulation of patient scheduling and survey of patients' preferences for surgical waiting time.

F Dexter1, A Macario, R D Traub, M Hopwood, D A Lubarsky.   

Abstract

UNLABELLED: Determining the appropriate amount of block time to allocate to surgeons and selecting the days on which to schedule elective cases can maximize operating room (OR) use. We used computer simulation to model OR scheduling. Inputs in the computer model included different methods to determine when a patient will have surgery (on-line bin-packing algorithms), case durations, lengths of time patients wait for surgery (2 wk is the median longest length of time that the outpatients [n = 367] surveyed considered acceptable), hours of block time each day, and number of blocks each week. For block time to be allocated to maximize OR utilization, two parameters must be specified: the method used to decide on what day a patient will have surgery and the average length of time patients wait to have surgery. OR utilization depends greatly on, and increases as, the average length of time patients wait for surgery increases. IMPLICATIONS: Operating room utilization can be maximized by allocating block time for the elective cases based on expected total hours of elective cases, scheduling patients into the first available date provided open block time is available within 4 wk, and otherwise scheduling patients in "overflow" time outside of the block time.

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Year:  1999        PMID: 10389771     DOI: 10.1097/00000539-199907000-00003

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


  31 in total

1.  Estimating procedure times for surgeries by determining location parameters for the lognormal model.

Authors:  William E Spangler; David P Strum; Luis G Vargas; Jerrold H May
Journal:  Health Care Manag Sci       Date:  2004-05

2.  Previous research in operating room scheduling and staffing.

Authors:  Franklin Dexter; Liam O'Neill
Journal:  Health Care Manag Sci       Date:  2010-09

3.  Operational research in the management of the operating theatre: a survey.

Authors:  Francesca Guerriero; Rosita Guido
Journal:  Health Care Manag Sci       Date:  2010-11-20

4.  [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

5.  Impact of surgical sequencing on post anesthesia care unit staffing.

Authors:  Eric Marcon; Franklin Dexter
Journal:  Health Care Manag Sci       Date:  2006-02

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

Review 7.  The anesthesia information management system for electronic documentation: what are we waiting for?

Authors:  Eric L Bloomfield; Neil G Feinglass
Journal:  J Anesth       Date:  2008-11-15       Impact factor: 2.078

8.  [The Göttingen manual for OR managers].

Authors:  M Bauer; J Hinz; A Klockgether-Radke
Journal:  Anaesthesist       Date:  2010-01       Impact factor: 1.041

9.  Process modeling of ICU patient flow: effect of daily load leveling of elective surgeries on ICU diversion.

Authors:  Alexander Kolker
Journal:  J Med Syst       Date:  2009-02       Impact factor: 4.460

10.  Appointment Lead Time Policy Development to Improve Patient Access to Care.

Authors:  Yu-Li Huang; Sarah M Bach
Journal:  Appl Clin Inform       Date:  2016-10-19       Impact factor: 2.342

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