↓ Skip to main content

Dove Medical Press

Performing all major surgical procedures robotically will prolong wait times for surgery

Overview of attention for article published in Robotic Surgery Research and Reviews, August 2017
Altmetric Badge

Mentioned by

twitter
4 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
17 Mendeley
Title
Performing all major surgical procedures robotically will prolong wait times for surgery
Published in
Robotic Surgery Research and Reviews, August 2017
DOI 10.2147/rsrr.s135713
Pubmed ID
Authors

Brian M Shinder, Nicholas J Farber, Robert E Weiss, Thomas L Jang, Isaac Y Kim, Eric A Singer, Sammy E Elsamra

Abstract

This article aimed to assess the burden of scheduling major urologic oncology procedures if all cases were performed robotically and to determine whether this would increase the time a patient would have to wait for surgery. We retrospectively determined the number of prostatectomies, radical nephrectomies, partial nephrectomies, and cystectomies at a single institution for one calendar year. A hypothetical situation was then constructed where all procedures were performed robotically. Using the allotted number of days that each surgeon was able to schedule robotic procedures, we analyzed the amount of time it would take to schedule and complete all cases. Five fellowship-trained surgeons were included in the study and accounted for 317 surgical cases. Three of the surgeons had dedicated robotic surgery (RS) time (block time), while two surgeons scheduled when there was non-dedicated RS time (open time) available. If all cases were performed robotically an additional 32 days would be needed, which could significantly increase the wait time to surgery. The limited number of robotic systems available in most hospitals creates a bottleneck effect; whereby increasing the number of cases would considerably lengthen the waiting time patients have for surgery. As RS becomes increasingly more commonplace in urology and other surgical fields, this could create a significant problem for health care systems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Student > Master 2 12%
Student > Bachelor 2 12%
Student > Doctoral Student 1 6%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 6 35%
Readers by discipline Count As %
Engineering 4 24%
Biochemistry, Genetics and Molecular Biology 2 12%
Social Sciences 2 12%
Medicine and Dentistry 2 12%
Business, Management and Accounting 1 6%
Other 0 0%
Unknown 6 35%