Singapogu Ravikiran, Chowdhury Aniqa, Roy-Chaudhury Prabir, Brouwer-Maier Deborah
Department of Bioengineering, Clemson University, Clemson, SC, USA.
College of Medicine, Medical University of South Carolina, Charleston, SC, USA.
Clin Kidney J. 2020 Dec 6;14(2):465-470. doi: 10.1093/ckj/sfaa206. eCollection 2021 Feb.
In accordance with the recently released Kidney Disease Outcomes Quality Initiative (KDOQI) guidelines, there is a significant need for focused efforts on improving hemodialysis cannulation outcomes. Toward this, structured and meaningful training of our clinical personnel who cannulate in dialysis clinics is a priority. With the availability of advanced sensors and computing methods, simulators could be indispensable tools for standardized skills assessment and training. In this article we present ways in which sensor data could be used to quantify cannulation skill. As with many other medical specialties, implementation of simulator-based training holds the promise of much-needed improvement in end-stage kidney disease patient outcomes.
根据最近发布的《肾脏病预后质量倡议》(KDOQI)指南,亟需集中精力改善血液透析插管的效果。为此,对在透析诊所进行插管操作的临床人员进行系统且有意义的培训是当务之急。随着先进传感器和计算方法的出现,模拟器可能成为标准化技能评估和培训不可或缺的工具。在本文中,我们介绍了利用传感器数据量化插管技能的方法。与许多其他医学专业一样,基于模拟器的培训有望显著改善终末期肾病患者的治疗效果。