交互式人工智能虚拟病例系统在诊断学教学中的实践应用

为解决临床初学者面对真实病人时由于技能不熟练、病人配合程度不够等情况导致沟通不畅、问诊效率低下，甚至影响自信心的问题；以及在临床思维训练中，初学者不知如何整理有效信息、更有效率地完成诊断和鉴别诊断过程，把人工智能（artificial intellihence，AI）虚拟病例（virtual patient，VP）系统...

Practical application of interactive artificial intelligence virtual patient system in diagnostics teaching

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.