新医科背景下生成式人工智能赋能麻醉学本科生医工融合培养模式的探索与实践
Exploration and Practice of Generative-AI-Empowered Medical-Engineering Integrated Training Model for Anesthesiology Undergraduates under the Background of New Medicine Initiative
摘要: 新医科建设推动医学教育向医工交叉与数字化转型，智能麻醉设备与围术期AI辅助诊疗的普及，对麻醉学本科生的人工智能素养和跨学科工程思维提出新的培养要求。国内麻醉本科教育仍存在医工课程与临床需求脱节、工程技术学习门槛高、跨学科教学落地困难、考核偏重终结性评价等问题，专业教学与数字素养培育相互割裂。立足胜任力导向教育理念，本文依托生成式人工智能，构建“低门槛进入–阶梯式提升–过程化增值”三位一体医工融合育人模式，搭建四维培养目标与分层课程模块，建立多维过程增值评价体系。通过教学改革实践，多源过程资料表明该模式有助于打通医工知识壁垒，协同提升学生临床能力与数字创新素养，形成低成本可复制的教学路径，为新医科数字化育人提供理论参考与实践范式。
Abstract: The New Medicine initiative promotes the integration of medicine, engineering and digital transformation within medical education. Widespread application of intelligent anesthesia equipment and perioperative AI-assisted diagnosis and treatment puts forward new requirements for artificial intelligence literacy and interdisciplinary engineering thinking among anesthesiology undergraduates. Existing domestic training suffers from disconnected medicine-engineering courses, high technical thresholds, difficult interdisciplinary delivery and overemphasis on summative assessment. Professional teaching and digital literacy cultivation are disconnected. Based on competency-based education and generative AI, this study constructs a three-in-one medical-engineering integrated education model characterized by “low-threshold entry, progressive improvement and process-oriented value-added assessment”. Supported by four-dimensional training objectives and hierarchical course modules, a multi-dimensional process-oriented value-added evaluation system has been established. Based on a teaching reform practice with undergraduate students, multi-source process data indicate that this model helps break the barriers between medical and engineering knowledge, and collaboratively improves students’ clinical competence and digital innovation literacy. This low-cost and replicable teaching path can provide theoretical reference and practical paradigm for digital talent cultivation under the New Medicine initiative.
文章引用：李龙艳, 石黎, 李倩, 许芳婷, 张凌波, 宋宗斌. 新医科背景下生成式人工智能赋能麻醉学本科生医工融合培养模式的探索与实践[J]. 职业教育发展, 2026, 15(11): 102-110. https://doi.org/10.12677/ve.2026.1511468

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