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

DOI: 10.12201/bmr.202602.00034

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  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.??

  Submit time: 10 February 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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