Validation of Sensorized Breast Models for High-Stakes Clinical Skills Assessment

描述（由申请人提供）：2004年6月，国家医学考试委员会在医学执照考试中增加了一项基于患者-演员的评估。这一事件对医学培训和评估产生了深远的影响。医学能力不再仅仅基于纸笔测试。虽然这是认证过程中非常需要的补充，但医疗领域在创建能力评估方面几乎没有触及表面，这些能力评估测试了安全提供患者护理所需的全部临床技能。模拟技术在解决一些更困难的评估领域方面具有巨大的潜力。一个尚未解决的关键领域是客观评价动手临床技能。我们评估实践临床技能的方法包括创新地使用嵌入在基于人体模型的训练器中的传感器和数据采集技术。除了有一个独特的方法来制造传感器启用人体模型，我们的实验室有能力模拟超过100种不同的临床表现。我们的长期目标是建立有效和可靠的技术，可用于确保所有在护理点进行动手临床检查和程序的医疗保健专业人员达到最低性能标准。我们的近期目标是建立和验证一套传感器启用的乳房检查模拟器，可用于定义临床乳房检查的性能标准。我们假设临床乳腺检查中使用的触诊技术可以量化，并且可以使用传感器启用的乳腺模型识别导致漏诊的不适当技术。为了检验我们的假设，我们将执行以下具体目标：具体目标1：开发和评估一组传感器启用的乳腺模型，可用于量化临床乳腺检查技能。具体目标2：旨在验证一组启用传感器的乳房模型作为可靠的测量工具，可用于确保临床乳房检查的最低性能标准。

DESCRIPTION (provided by applicant): In June 2004, the National Board of Medical Examiners added a patient-actor based assessment to the medical licensing examination. This event had a profound impact on medical training and assessment. No longer is competency in medicine solely based on a pencil and paper test. While this was a much needed addition to the credentialing process, the medical field has barely scratched the surface in creating competency assessments that test the full range of clinical skills needed for the safe delivery of patient care. Simulation technology has great potential to address some of the more difficult assessment areas. One critical area that has yet to be addressed is the objective evaluation of hands-on clinical skills. Our approach to evaluating hands-on clinical skills involves the innovative use of sensor and data acquisition technology embedded in manikin based trainers. In addition to having a unique approach to fabricating the sensor enabled manikins, our laboratory has the capability to simulate over 100 different clinical presentations. Our long term goal is to build valid and reliable technologies that can be used to ensure that minimum performance standards are met by all healthcare professionals who perform hands-on clinical examinations and procedures at the point of care. Our immediate goal is to build and validate a set of sensor-enabled breast examination simulators that can be used to define performance standards for the clinical breast examination. We hypothesize that palpation techniques used in the clinical breast examination can be quantified and that improper techniques that result in missed diagnosis can be identified using sensor enabled breast models. To test our hypothesis, we will execute the following specific aims: SPECIFIC AIM 1: To develop and evaluate a set of sensor enabled breast models that can be used to quantify clinical breast examination skills. SPECIFIC AIM 2: To validate a set of sensor enabled breast models as reliable measurement tools that can be used to ensure minimum performance standards for the clinical breast examination.