Automated Assessment of the Effects of System Limitations Based upon Data collect

根据收集的数据自动评估系统限制的影响

• 批准号: 7740001
• 负责人: Rajesh Kumar
• 金额: $ 24.02万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7740001
• 关键词: Adopted; Affect; Cessation of life; Classification; Clinical; Competence; Complex; Computer Systems Development; Data; Databases; Development; Devices; Educational Curriculum; Educational process of instructing; Effectiveness; Elements; Environment; Evaluation; Event; Excision; Future; Goals; Growth; Health Care Costs; Hour; Hysterectomy; Indium; Investigation; Laboratories; Laboratory Study; Malignant Neoplasms; Malignant neoplasm of prostate; Manuals; Measurement; Measures; Medicine; Methods; Modality; Modeling; Morbidity - disease rate; Motion; Operative Surgical Procedures; Outcome; Performance; Population; Procedures; Process; Prostate; Prostatectomy; Quality of Care; Radical Prostatectomy; Reporting; Research; Research Infrastructure; Residencies; Resources; Robotics; Simulate; Site; Structure; Surgeon; System; Task Performances; Techniques; Testing; Time; Training; Training Programs; United States; Work; base; cost; design; experience; improved; indexing; instrument; instrumentation; meetings; minimally invasive; new technology; pressure; programs; public health relevance; robotic device; sensor; skill acquisition; skills; success; tool

DESCRIPTION (provided by applicant): There are over 700 installed da Vinci robotic surgery systems as of mid 2007 and robotic radical prostatectomies are now the dominant modality of operation for removal of prostates with cancer. Tens of thousands of procedures are performed with da Vinci systems in the United States alone. The da Vinci, even though it's the only commercial robotic surgery system, is now widely available and operating at a clinical volume that makes the investigation of skill development a crucial issue in quality of care. This research aims to establish, deploy, and validate an infrastructure for systematically collecting quantitative motion measurements, system events, and corresponding synchronized video data (procedure data) from surgeons for the duration of their robotic surgery training via the application programming interface (API) of the da Vinci. This will allow surgical motions and clinical events to be studied undisturbed and unmodified by experimental sensors and tools. There is a unique opportunity to integrate an automatic measurement system into a multi-center robotic surgery residency program being presently developed by Intuitive Surgical providing transparent access to a larger number of robotic surgery trainees. To date, most methods of surgical evaluation of robotic surgery are based on manual, subjective evaluation of surgical technique (e.g. the OSATS) and have not looked at system or operation skills. Further, they have been limited to a small set of users. Automated objective assessment frameworks such as the proposed system will be far more suitable for integration into a training curriculum for measurement of system operation skill acquisition. Extension of this work to include statistical analysis may also allow objective assessments for surgical skills. PUBLIC HEALTH RELEVANCE: Robotic prostatectomies are dominant method of treating late state prostate cancer, and robotic hysterectomies and other gynecological procedures are being adopted at similar growth rates. To train tomorrow's surgeons to operate these robotic devices efficiently and to better design future devices, there is an increasing need to understand the effects of complex elements of robotic surgery affecting robotic system training as well as robotic surgery skill acquisition. To meet this need, this work creates the first systematically acquired resource of training data from robotic surgery, and investigates automatic assessment for the effects of system limitations.

描述（由申请人提供）：截至2007年中期，安装了700多台da芬奇机器人手术系统，机器人根治性前列腺切除术现在是切除前列腺癌的主要手术方式。仅在美国，就有数万例手术是使用da芬奇系统进行的。尽管达芬奇是唯一的商业机器人手术系统，但它现在已经广泛使用，并在临床上大量使用，这使得技能发展的调查成为护理质量的关键问题。本研究旨在通过da芬奇的应用程序编程接口（API）建立、部署和验证一种基础设施，用于在外科医生的机器人手术培训期间系统地收集定量运动测量、系统事件和相应的同步视频数据（手术数据）。这将允许通过实验传感器和工具不受干扰和不修改地研究手术运动和临床事件。这是一个独特的机会，可以将自动测量系统集成到Intuitive Surgical目前正在开发的多中心机器人手术住院医师计划中，为大量机器人手术学员提供透明的访问权限。到目前为止，大多数机器人手术的手术评价方法都是基于对手术技术的手动主观评价（例如，OSATS），而没有考虑系统或操作技能。此外，它们仅限于一小部分用户。自动化的客观评估框架，如拟议的系统将更适合于集成到一个培训课程的测量系统操作技能的收购。这项工作的扩展，包括统计分析也可以允许客观评估手术技能。公共卫生关系：机器人前列腺切除术是治疗晚期前列腺癌的主要方法，机器人前列腺切除术和其他妇科手术正在以类似的增长率被采用。为了训练未来的外科医生有效地操作这些机器人设备并更好地设计未来的设备，越来越需要了解机器人手术的复杂元素对机器人系统训练以及机器人手术技能获取的影响。为了满足这一需求，这项工作创建了第一个系统获取的机器人手术训练数据资源，并研究了系统限制影响的自动评估。