Communicating from a distance: medical student perspectives from a robotic bedside assist simulation

Author:

Greenberg Anya L.,Syed Shareef M.,Alseidi Adnan A.,O’Sullivan Patricia S.,Chern Hueylan

Abstract

Abstract Background To safely engage medical students in robotic operations as bedside assists would require new curricula. We aimed to understand student perspectives on communication with a console surgeon during a bedside assist simulation as a step in the process of designing an effective bedside assist curriculum. Methods Senior medical students were offered an introductory robotic surgery course. An Intuitive Surgical trainer reviewed robotic features, functionalities, and roles. Then, students participated in a simulation where they introduced an instrument through a laparoscopic port and advanced it into the field of view navigating around obstacles. A non-surgeon researcher conducted post-course focus groups (FGs) to explore participants’ perceptions about communication with the console surgeon during the simulation. Using FG transcriptions, two researchers conducted an inductive thematic analysis. Results Thirteen students (46% female) participated in three FGs. The first theme, tension between hierarchy and patient safety, reflected students’ pressure to follow instructions quickly and obediently from their superior and trepidation about revealing knowledge gaps as barriers to communication. Students also recognized that patient safety as at risk with rote following of instructions in the face of their uncertainty. The second theme identified opportunities to enhance communication including shared vocabulary, effective team dynamics, and explicit expectations. Conclusion Barriers to effective communication between students and surgical faculty exist. Establishing a bedside assist curriculum that teaches relevant terminology, communicating specific expectations, and promoting a team culture that fosters open communication without judgment may safely expand the role for students in robotic cases.

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3