Open AccessDevelopment and Validation of an Objective Scoring Tool to Evaluate Surgical Dissection: Dissection Assessment for Robotic Technique (DART)
Author(s) -
Erik Vanstrum,
Runzhuo Ma,
Jacqueline Maya-Silva,
Daniel I. Sanford,
Jessica Nguyen,
Xiaomeng Lei,
Michael Chevinksy,
Alireza Ghoreifi,
Jaewon Han,
Charles F. Polotti,
Ryan Powers,
Wesley Yip,
Michael Zhang,
Monish Aron,
Justin Collins,
Siamak Daneshmand,
John W. Davis,
Mihir Desai,
Roger Gerjy,
Alvin Goh,
Jim C. Hu,
Rainer Kimmig,
Thomas S. Lendvay,
James Porter,
René Sotelo,
Chandru P. Sundaram,
Steven Cen,
Inderbir S. Gill,
Andrew J. Hung
Publication year - 2021
Publication title -
urology practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.396
H-Index - 11
eISSN - 2352-0787
pISSN - 2352-0779
DOI - 10.1097/upj.0000000000000246
Subject(s) - medicine , dissection (medical) , delphi method , receiver operating characteristic , rubric , medical physics , robotic surgery , delphi , surgery , physical therapy , computer science , artificial intelligence , arithmetic , mathematics , operating system
Evaluation of surgical competency has important implications for training new surgeons, accreditation, and improving patient outcomes. A method to specifically evaluate dissection performance does not yet exist. This project aimed to design a tool to assess surgical dissection quality.