Authors:
Magdalena K. Chmarra
1
;
Sharon P. Rodrigues
2
;
Frank-Willem Jansen
3
and
Jenny Dankelman
1
Affiliations:
1
Delft University of Technology, Netherlands
;
2
Leiden University Medical Center, Netherlands
;
3
Delft University of Technology and Leiden University Medical Center, Netherlands
Keyword(s):
Training, Assessment, Standardization, Minimally invasive surgery.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Business and Social Applications
;
Computational Intelligence
;
Computer-Aided Assessment
;
Computer-Supported Education
;
Domain Applications and Case Studies
;
e-Business
;
Enterprise Information Systems
;
Fuzzy Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Learning/Teaching Methodologies and Assessment
;
Medical Applications
;
Methodologies and Methods
;
Metrics and Performance Measurement
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
Abstract:
Training and objective assessment of surgical competence receives more and more attention from society and medical communities, and is an ongoing research challenge. For obvious reasons of patient safety, ethics, and cost-effectiveness, there is a need to shift the training and assessment from the operating theatre to a simulated environment (e.g. skills lab). This paper presents the state of the art on training and assessment of surgical skills in minimally invasive surgery, and discusses remaining challenges.