Open AccessObjective Assessment Metrics for Central Line Simulators: An Exploration of Causal Factors
Author(s) -
Jessica M. Gonzalez-Vargas,
Dailen Brown,
Jason Z. Moore,
David C. Han,
Elizabeth Sinz,
Cheyenne C. Sonntag,
Scarlett R. Miller
Publication year - 2020
Publication title -
proceedings of the human factors and ergonomics society annual meeting/proceedings of the human factors and ergonomics society ... annual meeting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.207
H-Index - 43
eISSN - 1541-9312
pISSN - 1071-1813
DOI - 10.1177/1071181320641487
Subject(s) - trainer , haptic technology , computer science , preceptor , human–computer interaction , medical physics , simulation , medicine , medical education , programming language
The Dynamic Haptic Robotic Trainer (DHRT) was developed to minimize the up to 39% of adverse effects experienced by patients during Central Venous Catheterization (CVC) by standardizing CVC training, and provide automated assessments of performance. Specifically, this system was developed to replace manikin trainers that only simulate one patient anatomy and require a trained preceptor to evaluate the trainees' performance. While the DHRT system provides automated feedback, the utility of this system with real-world scenarios and expertise has yet to be thoroughly investigated. Thus, the current study was developed to determine the validity of the current objective assessment metrics incorporated in the DHRT system through expert interviews. The main findings from this study are that experts do agree on perceptions of patient case difficulty, and that characterizations of patient case difficulty is based on anatomical characteristics, multiple needle insertions, and prior catheterization.