Lack of cannulation skill during hemodialysis treatments results in poor clinical outcomes due to infiltration and other cannulation-related trauma. Unfortunately, training of patient care technicians and nurses, specifically on the “technical” aspects of cannulation, has traditionally not received much attention. Simulators have been successfully deployed in many medical specialties for assessment and training of clinical skills. However, simulators have not been as widely used in nursing, especially in the context of training clinical personnel in the dialysis unit. We designed a state-of-the-art simulator for quantifying skill for hemodialysis cannulation. In this study, 52 nurses and patient care technicians with varying levels of clinical experience performed 16 cannulations on the simulator with different fistula properties. We formulated a composite metric for objectively measuring overall success of cannulation and compared this metric with subjective assessment by experts. In addition, we examined if years of clinical experience correlated with objective and subjective scores for cannulation skill. Results indicated that, while subjective and objective metrics generally correlated with each other, the objective metric was more precise and better suited for quantifying cannulation skill. Further, the simulator-based objective metric provides several advantages over subjective ratings, including providing fine-grained assessment of skill, consistency in measurement unaffected by subjective biases, and basing assessment on a more complete evaluation of performance. Years of clinical experience, however, demonstrated little correlation with either method of skill assessment. The methods presented for cannulation skill assessment in this study, if widely applied, could result in improved cannulation skill among our PCTs and nurses, which could positively impact patient outcomes in a tangible way.

Cannulation is a routine yet challenging medical procedure resulting in a direct impact on patient outcomes. While current training programs provide guidelines to learn this complex procedure, the lack of objective and quantitative feedback impedes learning this skill more effectively. In this paper, we present a simulator for performing hemodialysis cannulation that captures the process using multiple sensing modalities that provide a multi-faceted assessment of cannulation. Further, we describe an algorithm towards segmenting the cannulation process using specific events in the sensor data for detailed analysis. Results from three participants with varying levels of clinical cannulation expertise are presented along with a metric that successfully differentiates the three participants. This work could lead to sensor-based cannulation skill assessment and training in the future potentially resulting in improved patient outcomes.

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, not much 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, ten LPs, and twenty-five MPs 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.

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Background: Cannulation is critical for maintaining a functional vascular access for patients on hemodialysis. However, relatively little is known about the quantitative aspects of needle insertion dynamics required for skilled cannulation. In this paper, we introduce three kinds of metrics that quantify needle insertion angle — recognized as important for safe and effective cannulation — during cannulation on an instrumented simulator for skill assessment. Three questions were examined in this study: (1) Are simulator-based needle angle metrics related to cannulation success? (2) Are needle angle metrics related to simulated blood flashback quality? (3) Can needle angle metrics be used to distinguish between high and low skill levels? Methods: Fifty-one cannulators with varying degrees of clinical experience performed cannulation on the instrumented simulator. Each participant cannulated 16 times on different fistulas with varying geometries. During each trial, needle angle along with other sensor data was obtained via a motion sensor placed inside the needle. Data analysis was conducted by relating needle angle over time with our previously validated simulator-based cannulation outcome metrics. Results: Results revealed that all three types of needle angle metrics were useful in predicting the probability of cannulation success. In addition, they were also correlated to flashback quality metrics. Furthermore, these metrics successfully distinguished between high and low performers regardless of whether they were classified using subjective ratings or objective scores. These results indicate that needle insertion angle is an important component of cannulation skill. Conclusions: The simulator-based metrics for needle insertion angle presented in this work measure a key aspect of skilled cannulation. As such, if implemented in a structured way, these metrics could lead to competency-based skill assessment and training for cannulation in the future. Raising the bar of cannulation skill of our clinicians can have a tangible impact on patient outcomes.