通讯作者: 万蕊, wanrui243@163.com

DOI：10.12201/bmr.202602.00034

?The Value and Application of Digital Medical Records in Lung Cancer Residency Training?

• 摘要：肺癌作为我国发病率和死亡率居首的恶性肿瘤,其诊疗已进入分子分型驱动的精准医疗时代,诊疗技术、治疗方案与临床指南的快速迭代,对肺癌专科住院医师的知识储备、临床思维与实践能力提出了更高要求。传统住院医师规范化培训模式以床旁教学和纸质病案讨论为主,存在病例资源时空分布不均、信息维度单一、教学标准化不足、临床思维训练缺乏系统性等固有瓶颈,难以满足新时代专科医师的培养需求。数字化病案作为信息技术与医学教育深度融合的新型载体,通过整合全维度结构化临床数据、动态交互式决策节点、多元化多媒体资源及循证证据链接,构建了 “数据整合 - 思维训练 - 资源链接 - 评价反馈” 一体化的智能化教学平台。本文系统阐述数字化病案在系统化培养肺癌全流程诊疗思维、具象化精准医学理念、启蒙临床科研能力及赋能精准考核评价等方面的核心价值,详细介绍分层自主学习、翻转课堂融合、全周期考核评价、集体复盘与教学查房协同等多元应用模式,并分析数据标准化、隐私安全、成本可持续性及技术适配等实践挑战,为推动肺癌专科住院医师规范化培训模式革新、提升培训同质化水平与人才培养质量提供参考。

  关键词： 数字化病案; 住院医师规范化培训; 肺癌; 医学教育; 教学改革

   

  Abstract: Lung cancer, the malignancy with the highest incidence and mortality rates in China, has entered an era of molecular subtype-driven precision medicine. The rapid evolution of diagnostic technologies, therapeutic regimens, and clinical guidelines imposes increasingly rigorous demands on the knowledge reserve, clinical reasoning capabilities, and practical proficiency of pulmonary oncology subspecialty residents. Traditional standardized residency training models, which rely predominantly on bedside teaching and paper-based case discussions, are constrained by inherent limitations—including the uneven spatiotemporal distribution of typical cases, single-dimensional information presentation, inadequate teaching standardization, and unsystematic clinical thinking training—making it challenging to meet the competency requirements for modern subspecialty physicians. Digital case-based learning (CBL), as an innovative integration of information technology and medical education, effectively addresses these bottlenecks. By integrating multi-dimensional structured clinical data, dynamic interactive decision nodes, diverse multimedia resources, and evidence-based links, it establishes an intelligent teaching platform that unifies data integration, cognitive training, resource linkage, and evaluation feedback. This article systematically elaborates on the core value of digital CBL in fostering systematic thinking for the entire lung cancer care continuum, materializing the principles of precision medicine, nurturing clinical research literacy, and enabling precise assessment. It details diverse application models, such as stratified self-directed learning, flipped classroom integration, full-cycle assessment, and synergistic collective debriefing combined with teaching rounds. Furthermore, it analyzes practical challenges including data standardization, privacy protection, cost sustainability, and technological adaptability. This review aims to provide insights for innovating the standardized training model for pulmonary oncology residents, thereby enhancing training homogeneity and the quality of talent cultivation.

  Key words: Digital Case-Based Learning; Standardized Residency Training; Lung Cancer; Medical Education; Educational Reform.??

  提交时间：2026-02-10

  版权声明：作者本人独立拥有该论文的版权，预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
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• 序号	提交日期	编号	操作
  1	2026-01-16	10.12201/bmr.202602.00034V1	下载

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