Azari David, Pugh Carla, Laufer Shlomi, Cohen Elaine, Kwan Calvin, Chen Chia-Hsiung Eric, Yen Thomas Y, Hu Yu Hen, Radwin Robert
College of Engineering, The University of Wisconsin Madison, 1513 University Ave., Madison, WI 53706.
Department of Surgery, The University of Wisconsin School of Medicine and Public Health, 1685 Highland Ave., Madison, WI 53705.
Proc Hum Factors Ergon Soc Annu Meet. 2014 Sep;58(1):793-797. doi: 10.1177/1541931214581145.
This study investigates the potential of using marker-less video tracking of the hands for evaluating hands-on clinical skills. Experienced family practitioners attending a national conference were recruited and asked to conduct a breast examination on a simulator that simulates different clinical presentations. Videos were made of the clinician's hands during the exam and video processing software for tracking hand motion to quantify hand motion kinematics was used. Practitioner motion patterns indicated consistent behavior of participants across multiple pathologies. Different pathologies exhibited characteristic motion patterns in the aggregate at specific parts of an exam, indicating consistent inter-participant behavior. Marker-less video kinematic tracking therefore shows promise in discriminating between different examination procedures, clinicians, and pathologies.
本研究探讨了使用无标记手部视频跟踪技术评估临床实践技能的潜力。招募了参加全国会议的经验丰富的家庭医生,并要求他们在模拟不同临床表现的模拟器上进行乳房检查。在检查过程中拍摄临床医生手部的视频,并使用用于跟踪手部运动以量化手部运动运动学的视频处理软件。从业者的运动模式表明,参与者在多种病症中的行为具有一致性。不同病症在检查的特定部位总体上表现出特征性的运动模式,表明参与者之间的行为具有一致性。因此,无标记视频运动学跟踪在区分不同检查程序、临床医生和病症方面显示出了前景。