模拟问诊AI智能体支持下《诊断学》“实验室数据解谜”体验式教学模式的构建

Developing an Experiential Teaching Model for “Laboratory Data Puzzle-Solving” in Diagnostics with the Support of a Simulated Medical Inquiry AI Agent

摘要: 针对成人继续教育医学检验技术专业《诊断学》教学中存在的“重指标、轻思维”、“会看数据、不会综合判断”等问题，构建模拟问诊AI智能体支持下的“实验室数据解谜”体验式教学模式。该模式以实验室数据为核心线索，以病例情境和问题任务为驱动，通过“AI问诊导入、线索呈现、分析解谜、反馈校正、归纳提升、迁移应用”六环节实施，强化学生对病史信息、症状表现与检验结果的综合分析。该模式有助于提升学生实验室数据解读能力、初步临床思维和学习参与度，为成人继续教育《诊断学》教学改革提供参考。

Abstract: In response to the problems in the teaching of Diagnostics for adult continuing education students majoring in Medical Laboratory Technology—such as an overemphasis on laboratory indicators and insufficient cultivation of clinical reasoning, as well as the ability to read data without making comprehensive judgments, this study constructs an experiential teaching model of “laboratory data puzzle-solving” supported by a simulated medical inquiry AI agent. Centered on laboratory data and driven by clinical case scenarios and task-based questions, the model is implemented through six stages: AI-assisted inquiry introduction, clue presentation, analytical puzzle-solving, feedback and correction, summarization and enhancement, and transfer application. This model strengthens students’ comprehensive analysis of medical history, symptoms, and laboratory findings. It is expected to improve students’ ability to interpret laboratory data, foster preliminary clinical reasoning, and enhance learning engagement, thereby providing a reference for the reform of Diagnostics teaching in adult continuing education.