The Accuracy of Surgeons' Provided Estimates for the Duration of Hysterectomies: A Pilot Study-Reference-Cited by-同舟云学术

The Accuracy of Surgeons' Provided Estimates for the Duration of Hysterectomies: A Pilot Study

Published:2015-01 Issue:1 Volume:22 Page:57-65
ISSN:1553-4650
Container-title:Journal of Minimally Invasive Gynecology
language:en
Short-container-title:Journal of Minimally Invasive Gynecology

Author:

Roque Dario R.,Robison Katina,Raker Christina A.,Wharton Gary G.,Frishman Gary N.

Publisher

Elsevier BV

Subject

Obstetrics and Gynaecology

Reference14 articles.

1. Centers for Disease Control and Prevention, and National Center for Health Statistics. FastStats: Inpatient surgery. http://www.cdc.gov/nchs/fastats/insurg.htm. Accessed on January 22, 2014.

2. Gynaecologists estimate and experience laparoscopic hysterectomy as more difficult compared with abdominal hysterectomy;Nieboer;Gynecol Surg,2010

3. Statistical modeling to predict elective surgery time;Wright;Anesthesiology,1996

4. Relying solely on historical surgical times to estimate accurately future surgical times is unlikely to reduce the average length of time cases finish late;Zhou;J Clin Anesth,1999

5. Applications of information systems to operating room scheduling;Dexter;Anesthesiology,1999

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