Literature DB >> 26860918

The Impact of Overestimations of Surgical Control Times Across Multiple Specialties on Medical Systems.

Albert Wu1, Ethan Y Brovman1, Edward E Whang2, Jesse M Ehrenfeld3, Richard D Urman4.   

Abstract

Optimization of operating room (OR) resources and costs require accurate estimations of procedure times. In some institutions, surgeons are asked to predict their surgical control time (SCT), which typically constitutes the majority of the total procedure time. Here, we examine differences in predicted versus actual SCT and variations by specialty. Data included all scheduled surgical procedures at one academic institution from October 2008 - September 2014. Exclusion criteria consisted of missing values for SCT as well as estimated SCTs that fell outside of 5 standard deviations of any given procedure's mean. Differences in estimation were calculated by subtracting estimated SCT from actual SCT and compared against a null hypothesis of 0 with a two-tailed t-test. Differences between specialties were examined using analysis of variance and Games-Howell tests. Between 2008 and 2014, 119,410 scheduled procedures were performed. After exclusion, 116,599 cases were analyzed. On average, SCT was overestimated by 12.9 min (p < 0.0001). Overestimations persisted when divided by specialty (p < 0.0001). With thoracic surgery as a control, all other specialties except for cardiac surgery had overestimations of SCT. The greatest time differences were seen in dental (37.6 min, p < 0.0001), cardiology (33.0 min, p < 0.0001), and neurosurgery (29.7 min, p < 0.0001). Overall, SCTs are overestimated at this institution across many specialties. Depending on the methodology by which a hospital chooses to allocate OR time, SCT estimations could potentially be reduced in certain specialties to allow for better allocation of OR resources.

Keywords:  OR benchmarks; OR efficiency; OR management; Surgical control time

Mesh:

Year:  2016        PMID: 26860918     DOI: 10.1007/s10916-016-0457-x

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  28 in total

1.  How do strategic decisions and operative practices affect operating room productivity?

Authors:  Antti Peltokorpi
Journal:  Health Care Manag Sci       Date:  2011-08-04

2.  Statistical modeling to predict elective surgery time. Comparison with a computer scheduling system and surgeon-provided estimates.

Authors:  I H Wright; C Kooperberg; B A Bonar; G Bashein
Journal:  Anesthesiology       Date:  1996-12       Impact factor: 7.892

3.  Applications of information systems to operating room scheduling.

Authors:  F Dexter; A Macario
Journal:  Anesthesiology       Date:  1996-12       Impact factor: 7.892

4.  An anesthesia medication cost scorecard--concepts for individualized feedback.

Authors:  Raymond J Malapero; Rodney A Gabriel; Robert Gimlich; Jesse M Ehrenfeld; Beverly K Philip; David W Bates; Richard D Urman
Journal:  J Med Syst       Date:  2015-03-03       Impact factor: 4.460

Review 5.  Surgical unit time utilization review: resource utilization and management implications.

Authors:  T Gordon; S Paul; A Lyles; J Fountain
Journal:  J Med Syst       Date:  1988-06       Impact factor: 4.460

6.  Accuracy of patient's turnover time prediction using RFID technology in an academic ambulatory surgery center.

Authors:  Florence Marchand-Maillet; Claire Debes; Fanny Garnier; Nicolas Dufeu; Didier Sciard; Marc Beaussier
Journal:  J Med Syst       Date:  2015-01-31       Impact factor: 4.460

7.  Anesthesia report card - a customizable tool for performance improvement.

Authors:  Christian D Peccora; Robert Gimlich; Richard P Cornell; Charles A Vacanti; Jesse M Ehrenfeld; Richard D Urman
Journal:  J Med Syst       Date:  2014-07-20       Impact factor: 4.460

8.  The influence of anesthesia-controlled time on operating room scheduling in Dutch university medical centres.

Authors:  Elizabeth van Veen-Berkx; Justin Bitter; Sylvia G Elkhuizen; Wolfgang F Buhre; Cor J Kalkman; Hein G Gooszen; Geert Kazemier
Journal:  Can J Anaesth       Date:  2014-03-06       Impact factor: 5.063

9.  Analysis of the integration of the physician rostering problem and the surgery scheduling problem.

Authors:  Christophe Van Huele; Mario Vanhoucke
Journal:  J Med Syst       Date:  2014-05-22       Impact factor: 4.460

10.  Decreases in anesthesia-controlled time cannot permit one additional surgical operation to be reliably scheduled during the workday.

Authors:  F Dexter; S Coffin; J H Tinker
Journal:  Anesth Analg       Date:  1995-12       Impact factor: 5.108

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  7 in total

1.  Analysis to Establish Differences in Efficiency Metrics Between Operating Room and Non-Operating Room Anesthesia Cases.

Authors:  Albert Wu; Joseph A Sanford; Mitchell H Tsai; Stephen E O'Donnell; Billy K Tran; Richard D Urman
Journal:  J Med Syst       Date:  2017-07-07       Impact factor: 4.460

2.  Effect of the Implementation of a New Electronic Health Record System on Surgical Case Turnover Time.

Authors:  Joseph McDowell; Albert Wu; Jesse M Ehrenfeld; Richard D Urman
Journal:  J Med Syst       Date:  2017-01-27       Impact factor: 4.460

3.  Introduction of a new electronic medical record system has mixed effects on first surgical case efficiency metrics.

Authors:  Albert Wu; Bhavani S Kodali; Hugh L Flanagan; Richard D Urman
Journal:  J Clin Monit Comput       Date:  2016-09-13       Impact factor: 2.502

Review 4.  Perioperative Information Systems: Opportunities to Improve Delivery of Care and Clinical Outcomes in Cardiac and Vascular Surgery.

Authors:  Robert E Freundlich; Jesse M Ehrenfeld
Journal:  J Cardiothorac Vasc Anesth       Date:  2017-11-04       Impact factor: 2.628

5.  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

6.  Operating Room Usage Time Estimation with Machine Learning Models.

Authors:  Justin Chu; Chung-Ho Hsieh; Yi-Nuo Shih; Chia-Chun Wu; Anandakumar Singaravelan; Lun-Ping Hung; Jia-Lien Hsu
Journal:  Healthcare (Basel)       Date:  2022-08-12

7.  Assessment of operative times of multiple surgical specialties in a public university hospital.

Authors:  Altair da Silva Costa
Journal:  Einstein (Sao Paulo)       Date:  2017 Apr-Jun
  7 in total

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