A novel approach to quantifying surgical workflow in robotic-assisted lobectomy. (Record no. 13049)

MARC details
000 -LEADER
fixed length control field 03565nam a22004337a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230815s20232023 xxu||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1478-5951
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code 10.1002/rcs.2546 [doi]
040 ## - CATALOGING SOURCE
Original cataloging agency Ovid MEDLINE(R)
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
PMID 37466244
245 ## - TITLE STATEMENT
Title A novel approach to quantifying surgical workflow in robotic-assisted lobectomy.
251 ## - Source
Source The International Journal Of Medical Robotics + Computer Assisted Surgery: MRCAS. :e2546, 2023 Jul 19
252 ## - Abbreviated Source
Abbreviated source Int J Med Robot. :e2546, 2023 Jul 19
253 ## - Journal Name
Journal name The international journal of medical robotics + computer assisted surgery : MRCAS
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Year 2023
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Manufacturer FY2024
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Publication date 2023 Jul 19
265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE]
Publication status aheadofprint
265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE]
Medline status Publisher
266 ## - Date added to catalog
Date added to catalog 2023-08-15
520 ## - SUMMARY, ETC.
Abstract CONCLUSION: This pilot demonstrates the feasibility of objectively quantifying workflow between RL tasks and introduces entropy as a new metric of task-transition complexity. These innovative measures of surgical workflow enable detailed characterization of a given surgery and might indicate behaviour that impacts case progression. We discuss how these measures can serve as a foundation and be combined with relevant clinical information to better understand factors influencing surgical inefficiency. Copyright © 2023 John Wiley & Sons Ltd.
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Abstract INTRODUCTION: Understanding surgical workflow is critical for optimizing efficiencies and outcomes; however, most research evaluating workflow is impacted by observer subjectivity, limiting its reproducibility, scalability, and actionability. To address this, we developed a novel approach to quantitatively describe workflow within robotic-assisted lobectomy (RL). We demonstrate the utility of this approach by analysing features of surgical workflow that correlate with procedure duration.
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Abstract METHODS: RL was deconstructed into 12 tasks by expert thoracic surgeons. Task start and stop times were annotated across videos of 10 upper RLs (5 right and 5 left). Markov Networks were used to estimate both the likelihood of transitioning from one task to another and each task-transition entropy (i.e. complexity). Associations between the frequency with which each task was revisited intraoperatively and procedure duration were assessed using Pearson's correlation coefficient.
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Abstract RESULTS: Entropy calculations identified fissure dissection and hilar node dissection as tasks with especially complex transitions, while mediastinal lymph node dissection and division of pulmonary veins were less complex. The number of transitions to three tasks significantly correlated with case duration (fissure dissection (R = 0.69, p = 0.01), dissect arteries (R = 0.59, p = 0.03), and divide arteries (R = 0.63, p = 0.03)).
546 ## - LANGUAGE NOTE
Language note English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element IN PROCESS -- NOT YET INDEXED
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Indexing Automated
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Institution MedStar Washington Hospital Center
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Department MedStar General Surgery Residency
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Department MedStar Georgetown University Hospital/MedStar Washington Hospital Center
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Department Surgery/Thoracic Surgery
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Medline publication type Journal Article
700 ## - ADDED ENTRY--PERSONAL NAME
Local Authors Lazar, John F
Institution Code MWHC
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Local Authors Metchik, Ariana
Institution Code MGUH
Program MedStar General Surgery Residency
Degree MD
Resident year Resident PGY 5
790 ## - Authors
All authors Bhattacharyya K, Jarc A, Lazar JF, Metchik A, Oh D, Yousaf S
856 ## - ELECTRONIC LOCATION AND ACCESS
DOI <a href="https://dx.doi.org/10.1002/rcs.2546">https://dx.doi.org/10.1002/rcs.2546</a>
Public note https://dx.doi.org/10.1002/rcs.2546
858 ## - ORCID
Name https://orcid.org/0000-0003-4810-8582
ORCID text Lazar, John F
Orcid <a href="https://orcid.org/0000-0003-4810-8582">https://orcid.org/0000-0003-4810-8582</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Journal Article
Item type description Article

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