Extracting Subtask-specific Metrics Toward Objective Assessment of Needle Insertion Skill for Hemodialysis

Ziyang Zhang1, Zhanhe Liu1, Ravikiran Singapogu1

  • 1Department of Bioengineering, Clemson University, 301 Rhodes Research Center, Clemson, SC 29634, USA.

Insights

This study introduces a simulator for assessing hemodialysis cannulation skills by breaking down needle insertion into subtasks. Objective metrics effectively predicted procedural risks, suggesting improved training for better patient outcomes.

Area of Science:

  • Medical Simulation
  • Healthcare Education
  • Vascular Access Procedures

Background:

  • Vascular access cannulation is crucial for ~80% of hospital patients.
  • High failure rates (~50%) exist for cannulation procedures.
  • Hemodialysis cannulation (HDC) presents significant challenges and a steep learning curve.

Purpose of the Study:

  • To develop and evaluate a simulator-based method for objective skill quantification in needle insertion.
  • To assess skill at the subtask level during hemodialysis cannulation.
  • To identify key metrics for predicting procedural outcomes.

Main Methods:

  • Combined simulator-based objective skill quantification with task segmentation.
  • Developed a needle insertion simulator for HDC training.
  • Conducted an experimental study with seven novice nursing students.

Main Results:

  • The simulator successfully segmented needle insertion into distinct subtask phases.
  • Significant differences in metrics were observed between subtask phases.
  • Process metrics accurately predicted the risk of infiltrating the simulated blood vessel.

Conclusions:

  • Evaluating needle insertion skills at the subtask level holds potential value for training.
  • Simulator-based assessment can provide objective feedback for HDC procedures.
  • Further validation may lead to improved clinical skills and patient outcomes.

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