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Factors affecting workflow in robot-assisted surgery: a scoping review.
Jannie Lysgaard Poulsen1,2, Birgitte Bruun3, Doris Oestergaard3,4
1Copenhagen Academy for Medical Education and Simulation (CAMES), Center for Human Resources and Education, The Capital Region of Denmark, Copenhagen, Denmark. Jannie.lysgaard.poulsen@regionh.dk.
Surgical Endoscopy
|June 23, 2022
Summary
Robot-assisted surgery impacts teamwork and workflow. This review highlights communication, coordination, training, and technology as key factors affecting flow disruptions and non-technical skills in surgical teams.
Area of Science:
- Surgical Innovation
- Human Factors in Medicine
- Teamwork and Patient Safety
Background:
- Robot-assisted surgery (RAS) is increasingly adopted globally.
- Existing research primarily focuses on technical skills and patient outcomes.
- RAS alters team composition and surgeon proximity, potentially impacting operating room dynamics.
Purpose of the Study:
- To explore literature on factors affecting workflow in RAS.
- To investigate team members' social and cognitive skills in RAS.
- To identify reported challenges in RAS teamwork and workflow.
Main Methods:
- Systematic search across Medline, EMBASE, PsycINFO, and Web of Science.
- Screening followed Preferred Reporting Item for Systematic reviews and Meta-Analysis for Scoping Review (PRISMA-ScR) guidelines.
- Inclusion criteria: RAS, multi-professional teams, workflow, flow disruptions, non-technical skills.
Main Results:
- 24 articles were included from 12,527 references.
- Studies focused on flow disruptions (causes/incidences) and non-technical skills (communication, situation awareness).
- Frequent causes of flow disruptions included communication, coordination, training, and equipment/technology.
Conclusions:
- Communication, coordination, training, and technology are significant factors in RAS workflow disruptions.
- Non-technical skills, particularly communication and situation awareness, are critical.
- Future research should address preventing harmful flow disruptions and developing workflow improvement interventions.
