Development of a patient and institutional-based model for estimation of operative times for robot-assisted radical cystectomy: results from the International Robotic Cystectomy Consortium

Hussein, Ahmed; May, Paul; Ahmed, Youssef; Saar, Matthias; Wijburg, Carl; Richstone, Lee; Wagner, Andrew; Wilson, Timothy; Yuh, Bertram; Redorta, Joan; Dasgupta, Prokar; Kawa, Omar; Khan, Mohammad; Menon, Mani; Peabody, James; Hosseini, Abolfazl; Gaboardi, Franco; Pini, Giovannalberto; Schanne, Francis; Mottrie, Alexandre; Rha, Koon-ho; Hemal, Ashok; Stockle, Michael; Kelly, John; Tan, Wei; Maatman, Thomas; Poulakis, Vassilis; Kaouk, Jihad; Canda, Abdullah; Balbay, Mevlana; Wiklund, Peter; Guru, Khurshid

doi:10.1111/bju.13934

Development of a patient and institutional-based model for estimation of operative times for robot-assisted radical cystectomy: results from the International Robotic Cystectomy Consortium

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Hussein A. A. , May P. R. , Ahmed Y. E. , Saar M., Wijburg C. J. , Richstone L., ...More

BJU INTERNATIONAL, vol.120, no.5, pp.695-701, 2017 (Journal Indexed in SCI)

Publication Type: Article / Article
Volume: 120 Issue: 5
Publication Date: 2017
Doi Number: 10.1111/bju.13934
Title of Journal : BJU INTERNATIONAL
Page Numbers: pp.695-701

Abstract

ObjectivesTo design a methodology to predict operative times for robot-assisted radical cystectomy (RARC) based on variation in institutional, patient, and disease characteristics to help in operating room scheduling and quality control.