RESUMO
In order to solve the problem of poor communication, low efficiency of consultation, and even affecting self-confidence caused by unskilled skills and insufficient cooperation with patients in the real clinic, and to solve the problem during the clinical thinking training that beginners do not know how to organize effective information and complete the process of diagnosis and differential diagnosis more efficiently. By applying the artificial intelligence (AI) virtual patient (VP) system to the process of teaching diagnostic knowledge and clinical thinking training. It provides the students with the experience of simulating the diagnosis and treatment of the clinical real scene. Let the students talk with the VP system for inquiry training and then go to the clinic to give the real patients inquiry and by simulating the process of treating the real patients, let the students take the initiative to complete the collection of medical records and clinical decision-making under the simulated scene to train the clinical thinking. This can not only solve the shortcomings of the previous simulation teaching and clinical teaching, but also stimulate students' interest in learning. According to the results of the questionnaire, students have a high acceptance of VP system simulation teaching. Through the results of homework and assessment and evaluation, the teaching results are better than before, and this teaching method should be further popularized.
RESUMO
Taking Web of Science database as the data source,the paper visually analyzes the literatures about medical knowledge data using the visualization software,such as Citespace,SATI and Ucinet,reveals the research power,core journals,core authors,situation of the literature referred and hot topics in this field.