Research on the Construction of Medical Critical Thinking Assessment Gauge Driven by Generative AI

Abstract

With the rapid development of artificial intelligence (AI) technology, major changes have taken place in the field of medical education in China. In recent years, in order to respond to the training requirements of “new medicine” for compound talents, the demand for systematic evaluation of critical thinking ability of medical students in China is increasing. Based on SOAP clinical reasoning framework and integrating existing critical thinking theory, this study established a medical critical thinking assessment gauge covering six dimensions of “interpretation-analysis-evaluation-inference-self-adjustment-clinical adaptation”, each dimension has five levels, presenting a path from information processing to clinical decision-making ability, and introducing evidence-based medicine tools (such as AGREE II), cognitive bias and other professional concepts enhance the professionalism and consistency of evaluation, which can be used as the core quantitative basis of the generative AI-driven critical thinking education system. Meanwhile, the gauge realizes the paradigm transformation from static evaluation to dynamic diagnosis and from general scoring to personalized intervention, providing a reliable path for the cultivation of medical high-order thinking ability.