Robotics & Machine Learning Daily News2024,Issue(Jun.18) :15-15.

Data on Robotics Reported by Matthew W. E. Boal and Colleagues (A review of mini mal access surgery provision and training within the United Kingdom)

Matthew W. E. Boal及其同事报告的机器人技术数据(对联合王国境内微型MAL准入手术提供和培训的审查)

Robotics & Machine Learning Daily News2024,Issue(Jun.18) :15-15.

Data on Robotics Reported by Matthew W. E. Boal and Colleagues (A review of mini mal access surgery provision and training within the United Kingdom)

Matthew W. E. Boal及其同事报告的机器人技术数据(对联合王国境内微型MAL准入手术提供和培训的审查)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-关于机器人的新研究是一份报告的主旨。根据sRx新编辑在英国伦敦发布的新闻报道,研究表明,“当与医疗压力相结合时,机器人辅助手术(RAS)的博览会自然增长影响了英国的培训结果,包括能力的学习曲线。为了确定RAS的当前前景,并调查全英国在获得最低访问手术(MAS)设施和培训方面的差异。”我们的新闻记者从研究中获得了一句话,“进行了一项双臂电子调查。第一组询问了有关机器人实践和未来培训规定的临床线索。第二组调查了受训人员和学员对MAS培训和设施的看法。64%(52/81)的回复信托使用机器人系统。大多数(68%[55/81])计划在3年内扩大或收购系统。从112家英国和爱尔兰共和国医院收集了171份回复。”腹腔镜类别询问受训者是否有机会获得Forma L课程、培训天数和模拟框。大多数顾问(51.9%)和受训者(51.6%)报告说,没有关于机器人手术的正式本地培训课程。综合回答显示,42.1%(n=195/463)回答“是”,39.5%(n=183)回答“不知道”,18.4%(n=85)回答“不知道”。对于组合机器人类别28.3%(n=134/473)回答“是”,51.6%(n=244)回答“不”,20.1%(n=95)回答“不知道”。本研究深入了解了英国信托基金目前提供的机器人辅助手术,并强调了促进定期临床培训和在正式课程中平等获得MAS模拟的必要性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting out of London, United Kingdom, by New sRx editors, research stated, "When combined with healthcare pressures, the expo nential growth of robotic-assisted surgery (RAS) has impacted UK-based training outcomes, including the learning curve to competency. To ascertain the current p rovision of RAS and investigate differences in access to minimal access surgical (MAS) facilities and training across the UK." Our news journalists obtained a quote from the research, "A two-armed electronic survey was conducted. The first arm questioned clinical leads regarding robotic practice and future training provisions. The second investigated trainee and tr ainers' perceptions of MAS training and facilities. 64% (52/81) of responding trusts utilise a robotic system. The majority (68% [55/81]) have plans to expand or acquire a system within 3 yea rs. 171 responses from 112 UK and Republic of Ireland hospitals were collected f or Arm 2. Laparoscopic categories queried whether trainees had access to a forma l curriculum, training days and sim-boxes. Most consultants (51.9%) and trainees (51.6%) reported that there was no formal local train ing curriculum for robotic surgery. Combined responses demonstrated 42.1% (n = 195/463) said 'yes', 39.5% (n = 183) 'no' and 18.4% (n = 85) 'don't know'. For combined robotic categories (simulation, training day s and operative lists) 28.3% (n = 134/473) responded 'yes', 51.6% (n = 244) said 'no' and 20.1% (n = 95) said 'don't know'. This stu dy provides insight into the current provision of robotic-assisted surgery at UK trusts and highlights the need to facilitate regular clinical training and equi table access to MAS simulation within a formal curriculum."

Key words

London/United Kingdom/Europe/Emerging Technologies/Health and Medicine/Machine Learning/Robotics/Robots/Surgery

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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