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Adaptation of a novice robotic nurse team to the Medtronic Hugo RAS system
Rikke Groth Olsen1, Morten Willer Stadeager2, Morten Togsverd-Bo2
1Copenhagen Prostate Cancer Center, Department of Urology, Copenhagen University Hospital-Rigshospitalet; Copenhagen Academy for Medical Education and Simulation; Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
Abstract:
Implementation of new technology can influence the surgical team's performance.
Aim:
To investigate a novice robotic nurse team's learning curves and mental load on the Medtronic Hugo RAS system.
Methods:
An observer noted the nurses' surgical tasks performed on the Hugo. All nurses completed two questionnaires about mental load (SURG-TLX) and technology acceptance (TAM) following surgery.
Findings:
Twenty robot-assisted inguinal hernia repairs were performed with no observable plateau in the learning curve for the preoperative and perioperative phases. On average, the researchers found a slightly higher score for the scrub nurse's mental load (median 27 points, IQR 14-47) than the circulating nurse (median 14.5 points, IQR 10-38).
Conclusion:
There was no observable plateau in the learning curve for the pre- and perioperative tasks. The scrub nurse function had a higher mental load than the circulating nurse function, with one nurse having a mental load score above the recommended level.
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