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

Atıf İçin Kopyala

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

BJU INTERNATIONAL, cilt.120, sa.5, ss.695-701, 2017 (SCI İndekslerine Giren Dergi)

Cilt numarası: 120 Konu: 5
Basım Tarihi: 2017
Doi Numarası: 10.1111/bju.13934
Dergi Adı: BJU INTERNATIONAL
Sayfa Sayıları: ss.695-701

Özet

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.