Simulator-Based Metrics for Quantifying Vascular Palpation Skill for Cannulation

• Published in: IEEE access Vol. 10; pp. 66862 - 66873
• Main Authors: Petersen, Lydia, Liu, Zhanhe, Bible, Joe, Shukla, Devansh, Singapogu, Ravikiran
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Blood flow; Measurement; Medical diagnostic imaging; Medical education; Needles; palpation; Sensors; Simulation; skill assessment; Skills; Skin; Training
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2022.3184303

Palpation is essential for accurate diagnosis and treatment in many clinical examinations and procedures. Specifically, vascular palpation is used to diagnose cardiovascular health issues and identify anatomical landmarks in the peripheral vascular system. However, little attention has been given to quantifying what comprises skilled vascular palpation; therefore, this study aims to objectively quantify the differences between high performer (HP), mid performer (MP), and low performer (LP) behavior towards understanding vascular palpation skills. Eleven HPs, twenty-five MPs, and ten LPs completed sixteen trials on our simulator under various conditions. There were four fistulas, two skin thicknesses, and two motor vibration intensities. Finger force and location data were recorded for each trial on the simulator. We examined three types of palpation metrics: time, force, and location. All three types of metrics demonstrated statistically significant differences between HP and LP palpation behavior. Therefore, these metrics could be used for structured and standardized palpation skills training in the future, potentially improving patient outcomes.