Literature DB >> 23351763

Accuracy of predicting the duration of a surgical operation.

Daniel M Laskin1, A Omar Abubaker, Robert A Strauss.   

Abstract

PURPOSE: The ability to predict how long a particular operation will take is important for maintaining operating room efficiency. The purpose of this study was to determine how accurate oral and maxillofacial surgeons (OMSs) can be in making this determination.
MATERIALS AND METHODS: Three experienced OMSs predicted their operating times for various operations; these predictions were compared with the actual times. The cases were then grouped into those with accurate predictions and those with overestimated and underestimated times, and the operative reports were reviewed for possible operation trends or other contributing factors.
RESULTS: In the 100 cases analyzed, the surgeons correctly estimated operating times 26% of the time, overestimated 42% of the time, and underestimated 32% of the time. In the 42 overestimated times, 10 cases involved multiple tooth extractions or removal of impacted third molars, and 8 cases involved orthognathic surgery. In the 32 underestimated cases, 7 involved orthognathic surgery and 8 involved the open reduction of fractures. The 26 accurately estimated cases involved 7 cases of multiple tooth extractions or impacted third molar removal and 5 cases of arthroscopic temporomandibular joint lysis and lavage.
CONCLUSIONS: Although operating times need to be used for scheduling purposes, they can be highly unpredictable. Surgeons need to constantly analyze their predictions for confounding factors in order to improve their accuracy.
Copyright © 2013 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23351763     DOI: 10.1016/j.joms.2012.10.009

Source DB:  PubMed          Journal:  J Oral Maxillofac Surg        ISSN: 0278-2391            Impact factor:   1.895


  11 in total

1.  Mandibular third molar impactions in male adults: Relationship of Operative time and Types of impaction on inflammatory complications.

Authors:  Samir Mansuri; Abdul Mujeeb; Seema Abid Hussain; Mohammed Abid Zahir Hussain
Journal:  J Int Oral Health       Date:  2014-04-26

2.  Probabilistic forecasting of surgical case duration using machine learning: model development and validation.

Authors:  York Jiao; Anshuman Sharma; Arbi Ben Abdallah; Thomas M Maddox; Thomas Kannampallil
Journal:  J Am Med Inform Assoc       Date:  2020-12-09       Impact factor: 4.497

3.  Improving Operating Room Efficiency: Machine Learning Approach to Predict Case-Time Duration.

Authors:  Matthew A Bartek; Rajeev C Saxena; Stuart Solomon; Christine T Fong; Lakshmana D Behara; Ravitheja Venigandla; Kalyani Velagapudi; John D Lang; Bala G Nair
Journal:  J Am Coll Surg       Date:  2019-07-13       Impact factor: 6.113

4.  Predicting surgical operative time in primary total knee arthroplasty utilizing machine learning models.

Authors:  Ingwon Yeo; Christian Klemt; Christopher M Melnic; Meghan H Pattavina; Bruna M Castro De Oliveira; Young-Min Kwon
Journal:  Arch Orthop Trauma Surg       Date:  2022-08-22       Impact factor: 2.928

5.  Cone-beam computed tomographic comparison of chin symphysis bone particles and allograft versus iliac crest bone graft alone for reconstruction of alveolar bone defects in cleft patients.

Authors:  Bijan Movahedian Attar; Parisa Soltani; Davood Davari; Mojdeh Mehdizadeh
Journal:  J Korean Assoc Oral Maxillofac Surg       Date:  2022-04-30

6.  Surgery scheduling heuristic considering OR downstream and upstream facilities and resources.

Authors:  Rafael Calegari; Flavio S Fogliatto; Filipe R Lucini; Michel J Anzanello; Beatriz D Schaan
Journal:  BMC Health Serv Res       Date:  2020-07-23       Impact factor: 2.655

7.  Cathepsin B defines leader cells during the collective invasion of salivary adenoid cystic carcinoma.

Authors:  Jia-Shun Wu; Zhu-Feng Li; Hao-Fan Wang; Xiang-Hua Yu; Xin Pang; Jing-Biao Wu; Sha-Sha Wang; Mei Zhang; Xiao Yang; Ming-Xin Cao; Ya-Jie Tang; Xin-Hua Liang; Min Zheng; Ya-Ling Tang
Journal:  Int J Oncol       Date:  2019-02-22       Impact factor: 5.650

8.  The Planning Fallacy in the Orthopedic Operating Room.

Authors:  Brian M Katt; Amr Tawfik; Vincent Lau; Fortunato Padua; Daniel Fletcher; Bruce Stamos; Daren Aita; Evan Conte; Arjun Saxena; Joshua Hornstein
Journal:  Cureus       Date:  2021-01-02

9.  How Predictable Is the Operative Time of Laparoscopic Surgery for Ovarian Endometrioma?

Authors:  Pietro Gambadauro; Vincenzo Campo; Sebastiano Campo
Journal:  Minim Invasive Surg       Date:  2015-08-31

Review 10.  Ability of salivary biomarkers in the prognostic of systemic and buccal inflammation.

Authors:  Aida Gutiérrez-Corrales; Elena Campano-Cuevas; Gabriel Castillo-Dalí; Daniel Torres-Lagares; José-Luis Gutiérrez-Pérez
Journal:  J Clin Exp Dent       Date:  2017-05-01
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