Developing a Virtual Basic Laparoscopic Skill Trainer (VBLaST)

开发虚拟基础腹腔镜技能训练器 (VBLaST)

基本信息

  • 批准号:
    8274880
  • 负责人:
  • 金额:
    $ 49.92万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-06-01 至 2014-05-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Development and Validation of a Virtual Basic Laparoscopic Skill Trainer (VBLaST) For the first time in the history of surgical education, a comprehensive program to teach and evaluate the cognitive and psychomotor aspects unique to laparoscopic surgery - the Fundamentals of Laparoscopic Surgery (FLS) developed originally by the Society of American Gastrointestinal Endoscopic Surgery (SAGES) and subsequently by a joint committee which includes the American College of Surgeons (ACS) - is being embraced nationally for training and credentialing laparoscopic surgeons. As an example of its growing acceptance by the medical community, starting in 2009, the American Board of Surgeons has mandated that passing the FLS certifying examination will be required for taking the board examination in surgery. While the cognitive assessment in FLS is based on 75 multiple-choice questions, a proctored examination is used for the manual skills assessment which includes five tasks to be performed in a portable pelvic trainer box with built-in video camera: bimanual peg transfer, precise pattern cutting, use of ligating loops and suturing with intracorporeal and extracorporeal knot tying. In spite of the growing popularity of the FLS, there are several major problems with this box trainer paradigm: (1) the assessment is subjective, (2) there is no feedback during learning except when an experienced trainer is present, (3) a large number of qualified proctors must be engaged during test taking, (4) the training material must be constantly replaced, and (5) the test-takers must travel to one of the 27 Regional Test Centers or the Annual SAGES meeting or the ACS Clinical Congress. To overcome these problems and to enable greater dissemination, we propose to develop and validate a Virtual Basic Laparoscopic Skill Trainer (VBLaST) whereby tasks available in the FLS may be performed on PCs and laptops with inexpensive haptic (touch) interface devices, such as the Phantom(R) OmniTM. To develop the VBLaST a novel set of technologies must be developed including rapid, but highly realistic physics-based virtual interaction paradigms and statistical machine learning techniques to develop a "virtual mentor" which will provide real time automated feedback to the trainees. A comprehensive set of studies involving students, residents, fellows and practicing surgeons at Boston area hospitals (e.g., BIDMC, Tufts Medical Center, Cambridge Health Alliance, Harvard, MGH, Brigham & Women's, Lahey Clinic) will be undertaken to test the validity of the VBLaST as a training tool and establish its usefulness in transferring the acquired skills to the operating room. Once validated, the VBLaST will have exponential impact in reducing training costs and training time while improving patient safety and outcomes, A multidisciplinary team with collective expertise in physics-based interactive medical simulation, laparoscopic surgery and surgical education, and human factors engineering has been assembled to achieve the following Specific Aims: SA1) To develop a realistic virtual basic laparoscopic skill trainer (VBLaST) platform to perform all the tasks available in the FLS training tool box. SA2) To establish the validity of the VBLaST as a training tool. SA3) To evaluate the usefulness of the VBLaST as a training tool. SA4) To develop a web-based interface for the VBLaST. PUBLIC HEALTH RELEVANCE: The goal of this research is to develop a comprehensive computer-based technology that will allow surgical trainees to practice their surgical skills and to take standardized tests on computer-based models. Surgical procedures and techniques, learnt and perfected in this risk-free manner before application to patients, will translate to fewer operating room errors, reduced patient morbidity and improved patient outcomes resulting in faster healing, shorter hospital stay and reduced post surgical complications and treatment costs.
DESCRIPTION (provided by applicant): Development and Validation of a Virtual Basic Laparoscopic Skill Trainer (VBLaST) For the first time in the history of surgical education, a comprehensive program to teach and evaluate the cognitive and psychomotor aspects unique to laparoscopic surgery - the Fundamentals of Laparoscopic Surgery (FLS) developed originally by the Society of American Gastrointestinal Endoscopic Surgery (SAGES) and随后由包括美国外科医生学院(ACS)在内的联合委员会被全国范围内接受培训和认证腹腔镜外科医生。作为医学界日益接受的一个例子,从2009年开始,美国外科委员会要求通过FLS认证检查进行手术检查。 While the cognitive assessment in FLS is based on 75 multiple-choice questions, a proctored examination is used for the manual skills assessment which includes five tasks to be performed in a portable pelvic trainer box with built-in video camera: bimanual peg transfer, precise pattern cutting, use of ligating loops and suturing with intracorporeal and extracorporeal knot tying. In spite of the growing popularity of the FLS, there are several major problems with this box trainer paradigm: (1) the assessment is subjective, (2) there is no feedback during learning except when an experienced trainer is present, (3) a large number of qualified proctors must be engaged during test taking, (4) the training material must be constantly replaced, and (5) the test-takers must travel to one of the 27 Regional Test Centers or the Annual SAGES meeting or the ACS临床大会。为了克服这些问题并实现更大的传播,我们建议开发和验证虚拟的基本腹腔镜技能培训师(VBLAST),其中可以在FLS中可用的任务在PC和带有廉价触觉(触摸)界面设备的PC和笔记本电脑上执行,例如Phantom(R)Omnitm。为了开发VBLAST,必须开发一套新颖的技术,包括快速但高度现实的基于物理的虚拟相互作用范式和统计机器学习技术,以开发“虚拟导师”,该技术将为受训者提供实时自动反馈。一系列全面的研究,涉及波士顿地区医院的学生,居民,研究员和执业外科医生(例如BIDMC,Tufts医疗中心,剑桥健康联盟,哈佛大学,MGH,MGH,Brigham&妇女,Lahey诊所)将被承担测试培训工具的有效性,并在培训工具中测试其有用的室内,并在室内建立了培训技巧,并建立了室内的技能。一旦得到验证,Vblast将对减少培训成本和培训时间产生指数影响,同时改善患者的安全性和结果,这是一个具有基于物理学的交互式医学模拟,腹腔镜手术和手术教育的多学科团队,并且在腹腔镜外科手术和手术教育方面具有集体专业知识,并且已经组装了以下特定目标:SA11) FLS培训工具箱中可用的任务。 SA2)确定VBLAST作为培训工具的有效性。 SA3)评估VBLAST作为培训工具的实用性。 SA4)为VBLAST开发基于Web的界面。 公共卫生相关性:这项研究的目的是开发一项全面的基于计算机的技术,该技术将使手术学员能够练习其手术技能并对基于计算机的模型进行标准化测试。在适用患者之前以这种无风险方式学习和完善的手术程序和技术将转化为手术室错误,患者发病率降低并改善了患者的结局,从而更快地康复,较短的医院住院和降低手术后的并发症和治疗成本。

项目成果

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CAROLINE GL CAO其他文献

CAROLINE GL CAO的其他文献

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{{ truncateString('CAROLINE GL CAO', 18)}}的其他基金

Development and Validation of a Virtual Electrosurgical Skill Trainer (VEST)
虚拟电外科技能训练器 (VEST) 的开发和验证
  • 批准号:
    9314976
  • 财政年份:
    2016
  • 资助金额:
    $ 49.92万
  • 项目类别:
Development and Validation of a Virtual Electrosurgical Skill Trainer (VEST)
虚拟电外科技能训练器 (VEST) 的开发和验证
  • 批准号:
    8726762
  • 财政年份:
    2012
  • 资助金额:
    $ 49.92万
  • 项目类别:
Development and Validation of a Virtual Electrosurgical Skill Trainer (VEST)
虚拟电外科技能训练器 (VEST) 的开发和验证
  • 批准号:
    8538975
  • 财政年份:
    2012
  • 资助金额:
    $ 49.92万
  • 项目类别:
Development and Validation of a Virtual Electrosurgical Skill Trainer (VEST)
虚拟电外科技能训练器 (VEST) 的开发和验证
  • 批准号:
    8921197
  • 财政年份:
    2012
  • 资助金额:
    $ 49.92万
  • 项目类别:
Development and Validation of a Virtual Electrosurgical Skill Trainer (VEST)
虚拟电外科技能训练器 (VEST) 的开发和验证
  • 批准号:
    8370225
  • 财政年份:
    2012
  • 资助金额:
    $ 49.92万
  • 项目类别:
Developing Physics-Based Virtual Simulation Technology for Natural Orifice Transl
开发基于物理的自然孔口传输虚拟仿真技术
  • 批准号:
    8665320
  • 财政年份:
    2011
  • 资助金额:
    $ 49.92万
  • 项目类别:
Developing Physics-Based Virtual Simulation Technology for Natural Orifice Transl
开发基于物理的自然孔口传输虚拟仿真技术
  • 批准号:
    8107147
  • 财政年份:
    2011
  • 资助金额:
    $ 49.92万
  • 项目类别:
Developing Physics-Based Virtual Simulation Technology for Natural Orifice Transl
开发基于物理的自然孔口传输虚拟仿真技术
  • 批准号:
    8470644
  • 财政年份:
    2011
  • 资助金额:
    $ 49.92万
  • 项目类别:
Developing Physics-Based Virtual Simulation Technology for Natural Orifice Transl
开发基于物理的自然孔口传输虚拟仿真技术
  • 批准号:
    8261924
  • 财政年份:
    2011
  • 资助金额:
    $ 49.92万
  • 项目类别:
Developing a Virtual Basic Laparoscopic Skill Trainer (VBLaST)
开发虚拟基础腹腔镜技能训练器 (VBLaST)
  • 批准号:
    8470093
  • 财政年份:
    2010
  • 资助金额:
    $ 49.92万
  • 项目类别:

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