DocumentCode :
173803
Title :
Knowledge-based automatic performance evaluation for medical training debriefing
Author :
Zhang, Juyong ; Hanoun, Samer ; Creighton, Douglas ; Nahavandi, S. ; D´Souza, Karen ; Britt, Kellie ; Yanieri, Richard
Author_Institution :
Centre for Intell. Syst. Res., Deakin Univ., Waurn Ponds, VIC, Australia
fYear :
2014
fDate :
5-8 Oct. 2014
Firstpage :
2180
Lastpage :
2185
Abstract :
Manikin-based medical simulation has been shown to benefit the knowledge, skills and attitudes of the learner, and to impart favourable patient effects. A vital component of any training simulation is the after-session discussion with trainees to debrief their performance. In this study we develop a rule-based debriefing tool for improving the efficacy of medical training sessions. Unlike most existing de-briefing tools, the tool presented here has been designed to reduce medical trainer assessment time and to improve evaluation accuracy through a largely automated evaluation of trainee performance. The developed tool is acknowledged by the School of Medicine of Deakin University as an important advancement in assisting medical trainers carry out the debriefing process effectively and efficiently.
Keywords :
biomedical education; computer based training; digital simulation; educational administrative data processing; educational institutions; knowledge management; medical computing; Deakin University; Manikin-based medical simulation; School of Medicine; after-session discussion; evaluation accuracy; knowledge-based automatic performance evaluation; learner attitudes; learner knowledge; learner skills; medical trainer assessment time; medical trainers; medical training debriefing; medical training sessions; patient effects; rule-based debriefing tool; trainee performance; training simulation; Educational institutions; Electric shock; Engines; Guidelines; Knowledge based systems; Performance evaluation; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location :
San Diego, CA
Type :
conf
DOI :
10.1109/SMC.2014.6974247
Filename :
6974247
Link To Document :
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