title: Emotional and cognitive information processing in web-based medical education.
abstract: The patient-physician relationship can be conceived as a process of structuring an ill-structured emotional-cognitive problem. So, new methods should be developed in order to capture the relations among emotions and cognitions, and physicians should be educated to recognize the influence of emotions on medical decision-making. The paper describes GRASP, an e-learning application based upon the assumption that cognitions and emotions are dual concepts. The results of a blended e-learning experiment are shown. The students were confronted with a role-playing based illness narrative. Their observations were segmented into information units, and uploaded on the e-learning system DVLN. The set of information units was then transformed into a bipartite graph, and analysed by means of STRUCTURE, an application aimed at grasping the structure of the relations among a set of "objects". The results were compared with Correspondence Analysis. The implications for medical education, medical reasoning, and medical record design are discussed.
authors.affiliation: Department of Preventive Medical Sciences, Section of Medical Statistics and Informatics, Faculty of Medicine, University of Naples Federico II, Italy. ugiani@unina.it
authors.forename: U
authors.initials: U
authors.lastname: Giani
authors.forename: G
authors.initials: G
authors.lastname: Brascio
authors.forename: D
authors.initials: D
authors.lastname: Bruzzese
authors.forename: C
authors.initials: C
authors.lastname: Garzillo
authors.forename: S
authors.initials: S
authors.lastname: Vigilante
mesh_terms: D003071:Cognition; D003194:Computer-Assisted Instruction / Q000379:methods*; D003201:Computers; D003661:Decision Support Techniques; D020375:Education, Distance; D004501:Education, Medical / Q000379:methods*; D004644:Emotions; D005568:Forms and Records Control; D006801:Humans; D007858:Learning; D015233:Models, Statistical; D011340:Problem Solving; D012984:Software; D013663:Teaching / Q000379:methods*