Collaborative management of complex coordination systems: operating room schedule coordination

2003 ◽  
Author(s):  
F. Jacob Seagull ◽  
Cheryl Plasters ◽  
Yan Xiao ◽  
Colin F. Mackenzie
Keyword(s):  
Operating Room ◽  
Collaborative Management ◽  
Schedule Coordination ◽  
Coordination Systems ◽  
Operating Room Schedule ◽  
Complex Coordination

scholarly journals Predicting Case Volume from the Accumulating Elective Operating Room Schedule Facilitates Staffing Improvements

2014 ◽  
Vol 121 (1) ◽  
pp. 171-183 ◽  
Author(s):  
Vikram Tiwari ◽  
William R. Furman ◽  
Warren S. Sandberg
Keyword(s):  
Operating Room ◽  
Regression Models ◽  
Elective Surgery ◽  
Ancillary Service ◽  
Linear Regression Models ◽  
Case Volume ◽  
Case Count ◽  
Actual Volume ◽  
Operating Room Schedule ◽  
Fine Tune

Abstract Background: Precise estimates of final operating room demand can only be made 1 or 2 days before the day of surgery, when it is harder to adjust staffing to match demand. The authors hypothesized that the accumulating elective schedule contains useful information for predicting final case demand sufficiently in advance to readily adjust staffing. Methods: The accumulated number of cases booked was recorded daily, from which a usable dataset comprising 146 consecutive surgical days (October 10, 2011 to May 7, 2012, after removing weekends and holidays), and each with 30 prior calendar days of booking history, was extracted. Case volume prediction was developed by extrapolation from estimates of the fraction of total cases booked each of the 30 preceding days, and averaging these with linear regression models, one for each of the 30 preceding days. Predictions were verified by comparison with actual volume. Results: The elective surgery schedule accumulated approximately three cases per day, settling at a mean ± SD final daily volume of 117 ± 12 cases. The model predicted final case counts within 8.27 cases as far in advance as 14 days before the day of surgery. In the last 7 days before the day of surgery, the model predicted the case count within seven cases 80% of the time. The model was replicated at another smaller hospital, with similar results. Conclusions: The developing elective schedule predicts final case volume weeks in advance. After implementation, overly high- or low-volume days are revealed in advance, allowing nursing, ancillary service, and anesthesia managers to proactively fine-tune staffing up or down to match demand.

Resident Teaching Versus the Operating Room Schedule: An Independent Observer-Based Study of 1558 Cases

2006 ◽  
Vol 103 (4) ◽  
pp. 932-937 ◽  
Author(s):  
Elizabeth A. Davis ◽  
Alejandro Escobar ◽  
Jan Ehrenwerth ◽  
Gail A. Watrous ◽  
Gene S. Fisch ◽  
...  
Keyword(s):  
Operating Room ◽  
Independent Observer ◽  
Resident Teaching ◽  
Operating Room Schedule

Influence of the Operating Room Schedule on Tardiness from Scheduled Start Times

2009 ◽  
Vol 108 (6) ◽  
pp. 1889-1901 ◽  
Author(s):  
Ruth E. Wachtel ◽  
Franklin Dexter
Keyword(s):  
Operating Room ◽  
Operating Room Schedule

scholarly journals Recovering an Operating Room Schedule during a Global Pandemic

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
Ryan Brumit ◽  
Bethany Daily ◽  
Wilton C. Levine
Keyword(s):  
Operating Room ◽  
Global Pandemic ◽  
Operating Room Schedule
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