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Special Topic – Editorial Intelligent Training Intelligent Clinical Training Systems
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BibTeX
@MISC{Haddawy_specialtopic,
author = {P. Haddawy and S. Suebnukarn},
title = {Special Topic – Editorial Intelligent Training Intelligent Clinical Training Systems},
year = {}
}
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Abstract
Clinical medicine is one of the most chal-lenging areas for education. The develop-ment of clinical competence requires the assimilation of large amounts of knowl-edge combined with acquisition of clinical skills and clinical problem-solving ability. Clinical skills include the technical skill in implementing a procedure as well as skill in patient consultation and physical exami-nation. Clinical problem solving requires the ability to synthesize the information contained in a clinical case and to integrate it with the physician’s knowledge and experience in order to diagnose and manage the patient’s problem. It also requires the ability to work in teams and the ability to transfer one’s knowledge to unfamiliar situations such as rare problems, disasters and emergencies. Currently, training toward clinical competence follows an apprenticeship approach, which consists of close expert supervision while interacting with patients. This method of training can subject patients to discomfort, risk of complications, and prolonged procedure times, creating a clinical governance dilemma. At the same time, there may be limited access to apprenticeship training in more complex sce-narios with corresponding difficulty training in a time-effective manner. Intelligent clinical training systems hold the promise to address many of these issues. A facilitating technological environment has emerged in recent years through the maturation of research in intelligent tutoring systems, medical simulation, and virtual reality (VR) techniques and the develop-
Keyphrases
clinical competence clinical skill physician knowledge clinical case recent year clinical governance dilemma rare problem difficulty training large amount time-effective manner virtual reality clinical problem medical simulation close expert supervision physical exami-nation intelligent clinical training system chal-lenging area clinical medicine patient problem complex sce-narios patient consultation apprenticeship approach unfamiliar situation technical skill procedure time limited access clinical problem-solving ability facilitating technological environment
