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ORIGINAL RESEARCH article

Front. Med.
Sec. Obstetrics and Gynecology
Volume 11 - 2024 | doi: 10.3389/fmed.2024.1382609
This article is part of the Research Topic Changing Backgrounds and Groundbreaking Changes: Gynecological surgery in the third decade of the 21st century Volume II View all 5 articles

Novel workflow analysis of robot-assisted hysterectomy through objective performance indicators: a pilot study

Provisionally accepted
Felix Neis Felix Neis 1*Sara Y. Brucker Sara Y. Brucker 1Armin Bauer Armin Bauer 1Lilia Purvis Lilia Purvis 2Xi Liu Xi Liu 3Marzieh Ershad Marzieh Ershad 3Mallory Shields Mallory Shields 3Christina B. Walter Christina B. Walter 1Tjeerd Dijkstra Tjeerd Dijkstra 1Christl Reisenauer Christl Reisenauer 1Bernhard Kraemere Bernhard Kraemere 1
  • 1 University Women's Hospital Tübingen, Tübingen, Baden-Württemberg, Germany
  • 2 Intuitive Surgical, Inc, Sunnyvale, California, United States
  • 3 Intuitive Surgicals (USA), Sunnyvale, California, United States

The final, formatted version of the article will be published soon.

    Introduction The curriculum for a da Vinci surgeon in gynecology requires special training before a surgeon performs their first independent case, but standardized, objective assessments of a trainee’s workflow or skills learned during clinical cases are lacking. This pilot study presents a methodology to evaluate intraoperative surgeon behavior in hysterectomy cases through standardized surgical step segmentation paired with objective performance indicators (OPIs) calculated directly from robotic data streams. This method can provide individual case analysis in a truly objective capacity. Material and methods Surgical data from six robot-assisted total laparoscopic hysterectomies (rTLH) performed by two experienced surgeons was collected prospectively using an Intuitive Data Recorder. Each rTLH video was annotated and segmented into specific, functional surgical steps based on the recorded video. Once annotated, OPIs were compared through workflow analysis and across surgeons during two critical surgical steps: colpotomy and vaginal cuff closure. Results Through visualization of the individual steps over time, we observe workflow consistencies and variabilities across individual surgeons of a similar experience level at the same hospital, creating unique surgeon behavior signatures across each surgical case. OPI differences across surgeons were observed for both the colpotomy and vaginal cuff closure steps, specifically reflecting camera movement, energy usage and clutching behaviors. Comparing colpotomy and vaginal cuff closure time needed for the step and the events of energy use were significantly different (p<0.001). For the comparison between the two surgeons only the event count for camera movement during colpotomy showed significant differences (p=0.03). Conclusion This pilot study presents a novel methodology to analyze and compare individual rTLH procedures with truly objective measurements. Through collection of robotic data streams and standardized segmentation, OPI measurements for specific rTLH surgery steps can be reliably calculated and compared to those of other surgeons. This provides opportunity for critical standardization to the gynecology field, which can be integrated into individualized training plans in the future. However, more studies are needed to establish context surrounding these metrics in gynecology.

    Keywords: Robot-assisted total hysterectomy, Surgical data science, Objective performance indicators, Surgical workflow, Intuitive Data Recorder, surgical annotation, Da Vinci surgical system

    Received: 05 Feb 2024; Accepted: 19 Jul 2024.

    Copyright: © 2024 Neis, Brucker, Bauer, Purvis, Liu, Ershad, Shields, Walter, Dijkstra, Reisenauer and Kraemere. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Felix Neis, University Women's Hospital Tübingen, Tübingen, 72076, Baden-Württemberg, Germany

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.