Factors affecting workflow in robot-assisted surgery: a scoping review

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Background: Robot-assisted surgery is expanding worldwide. Most research in this field concentrates on surgeons’ technical skills and patient outcome, but research from open and laparoscopic surgery shows that teamwork is crucial for patient safety. Team composition is changed in robot-assisted surgery with the surgeon placed away from the bedside, potentially altering teamwork and workflow in the operating theatre. This scoping review aimed to explore how factors affecting workflow as well as team members’ social and cognitive skills during robot-assisted surgery are reported in the literature. Methods: A systematic search was performed in the databases Medline, EMBASE, PsycINFO, and Web of Science. Reports were screened according to the Preferred Reporting Item for Systematic reviews and Meta-Analysis for Scoping Review guidelines. Inclusion criteria were robot-assisted surgery, multi-professional teams, and workflow, flow disruptions, or non-technical skills. Results: A total of 12,527 references were screened, and 24 articles were included in the review. Articles were heterogeneous in terms of aim, methods and focus. The studies concentrated on two main fields: flow disruptions and the categorization of their causes and incidences; and non-technical skills describing the challenges of communication and effects on situation awareness. Conclusion: Many studies focused on flow disruptions and found that communication, coordination, training, and equipment/technology were the most frequent causes. Another focus of studies was non-technical skills—primarily communication and situation awareness. Future studies could focus on how to prevent the most harmful flow disruptions and develop interventions for improving workflow.

Original languageEnglish
JournalSurgical Endoscopy
Volume36
Issue number12
Pages (from-to)8713-8725
Number of pages13
ISSN0930-2794
DOIs
Publication statusPublished - 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

    Research areas

  • Flow disruptions, Non-technical skills, Robot-assisted surgery, Workflow

ID: 326740178