Giani U, Brascio G, Bruzzese D, Garzillo C, Vigilante S
Department of Preventive Medical Sciences, Section of Medical Statistics and Informatics, Faculty of Medicine, University of Naples Federico II, Italy.
J Biomed Inform. 2007 Jun;40(3):332-42. doi: 10.1016/j.jbi.2006.11.004. Epub 2006 Dec 2.
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.
医患关系可以被视为构建一个结构不良的情感认知问题的过程。因此,应该开发新的方法来捕捉情感与认知之间的关系,并且应该对医生进行教育,使其认识到情感对医疗决策的影响。本文描述了GRASP,这是一个基于认知和情感是对偶概念这一假设的电子学习应用程序。展示了一个混合式电子学习实验的结果。学生们面对一个基于角色扮演的疾病叙述。他们的观察结果被分割成信息单元,并上传到电子学习系统DVLN上。然后将信息单元集转换为二分图,并通过STRUCTURE进行分析,STRUCTURE是一个旨在把握一组“对象”之间关系结构的应用程序。将结果与对应分析进行了比较。讨论了其对医学教育、医学推理和病历设计的影响。