Framework for a retrospective analysis of operating room schedule execution

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Franck Fontanili ◽  
Leah Rifi ◽  
Maria Di Mascolo ◽  
Cléa Martinez
Keyword(s):  
Retrospective Analysis ◽  
Operating Room ◽  
Operating Room Schedule ◽  
Schedule Execution

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

Retrospective analysis of surgery postponed or cancelled in the operating room

2010 ◽  
Vol 22 (4) ◽  
pp. 237-240 ◽  
Author(s):  
Hon-Kit Lau ◽  
Tsai-Hsin Chen ◽  
Cher-Ming Liou ◽  
Ming-Chih Chou ◽  
Wei-Te Hung
Keyword(s):  
Retrospective Analysis ◽  
Operating Room

scholarly journals Comparison of the Time to Extubation and Length of Stay in the PACU after Sugammadex and Neostigmine Use in Two Types of Surgery: A Monocentric Retrospective Analysis

2021 ◽  
Vol 10 (4) ◽  
pp. 815
Author(s):  
Cyrus Motamed ◽  
Jean Louis Bourgain
Keyword(s):  
Abdominal Surgery ◽  
Retrospective Analysis ◽  
Operating Room ◽  
Exit Time ◽  
Real Life ◽  
Pulmonary Complications ◽  
Recovery Unit ◽  
Extubation Time ◽  
Train Of Four ◽  
Pacu Stay

Sugammadex provides a rapid pharmacological reversal of aminosteroid, as well as fewer pulmonary complications, a better physiological recovery, and shorter stays in the postanesthetic recovery unit (PACU). This retrospective analysis of our Centricity anesthesia database in 2017–2019 assessed the efficiency of sugammadex in real-life situations in two groups of surgical cancer patients (breast and abdominal surgery) based on the extubation time, operating room exit time, and length of PACU stay. Overall, 382 anesthesia records (131 breast and 251 abdominal surgeries) were extracted for the pharmacological reversal of neuromuscular blockades by neostigmine or sugammadex. Sugammadex was used for reversal in 91 breast and 204 abdominal surgeries. Sugammadex use did not affect the extubation time, operating room exit time, or length of PACU stay. However, the time to reach a 90% train of four (TOF) recovery was significantly faster in sugammadex patients: 2 min (1.5–8) in breast surgery and 2 min (1.5–7) in abdominal surgery versus 10 (6–20) and 9 min (5–20), respectively, for neostigmine (p < 0.05). Most patients who were reversed with sugammadex (91%) reached a TOF ratio of at least 90%, while 54% of neostigmine patients had a 90% TOF ratio recorded (p < 0.05). Factors other than pharmacological reversal probably influence the extubation time, operating room exit time, or PACU stay; however, sugammadex reliably shortened the time so as to reach a 90% TOF ratio with a better level of reversal.

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