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摘要
为了提高医疗系统中文件管理的效率与质量，本文围绕医疗文档的集中化标准化存储与人工智能驱动的智能更新，构建了一种协同策略研究框架。通过分析医疗文档管理的痛点，结合集中化存储与AI技术的协同路径，提出了一种基于标准化文档处理与智能更新的协同优化方案。研究发现，通过构建标准化的文档存储体系与AI驱动的智能更新机制，能够提升医疗文档管理的效率与准确性，同时为临床决策支持与科研数据整合提供更高质量的支撑。本文进一步探讨了协同策略的实施路径与效果评估，验证了其在实际应用中的可行性和有效性。研究结果表明，这种协同策略不仅能够优化医疗文档的全生命周期管理，还能为医疗信息化的深入发展提供重要参考。本研究为医疗系统中文件管理的智能化转型提供了理论依据与实践指导，具有重要的临床应用价值和社会意义。
关键词： 医疗便准；集中化存储；人工智能；协同策略
Abstract
In order to improve the efficiency and quality of file management in medical systems, this paper builds a collaborative strategy research framework around centralized standardized storage of medical documents and artificial intelligence-driven intelligent updates. By analyzing the pain points of medical document management and combining the collaborative paths of centralized storage and AI technology, a collaborative optimization solution based on standardized document processing and intelligent updates is proposed. The research found that by building a standardized document storage system and an AI-driven intelligent update mechanism, the efficiency and accuracy of medical document management can be significantly improved, while providing higher quality support for clinical decision support and scientific research data integration. This paper further explores the implementation path and effectiveness evaluation of collaborative strategies, and verifies its feasibility and effectiveness in practical applications. The research results show that this collaborative strategy can not only optimize the entire life cycle management of medical documents, but also provide an important reference for the in-depth development of medical informatization. This study provides theoretical basis and practical guidance for the intelligent transformation of document management in medical systems, and has important clinical application value and social significance.
Keywords: Medical standards; centralized storage; artificial intelligence; collaborative strategies
Keywords：
一、标题优化评估
医疗信息化建设进程中，文件存储管理与智能技术应用的协同发展已成为提升医疗服务效能的关键突破口。原研究标题《医疗系统中文件集中化标准化存储与人工智能智能更新协同路径研究》准确抓住了目前医疗数字化转型的两大核心要素——标准化存储架构的构建与人工智能技术的深度应用。这种双主题设计既反映了医疗信息管理的基础性需求，又体现了智能技术赋能的创新方向，具有鲜明的时代特征和实践价值[1]。标题中"协同路径"的表述尤为精当，不仅暗示了技术融合的系统性思维，更暗含了从现状到目标的动态演进过程，这与医疗信息化领域强调渐进式改革的特性高度契合[2]。在表达形式上，原标题采用复合名词短语结构，符合中文科技论文标题的典型特征，能够清晰传递研究的核心范畴与方法论取向[3]。
进一步分析可见，原标题在技术术语的选择上展现出专业性与包容性的平衡。使用"文件集中化标准化存储"这一表述，既突出了医疗数据管理的核心诉求，又避免了过度技术化的表述可能造成的理解障碍。参照我国健康医疗数据治理标准化路径研究的经验，这种平衡性表达有助于扩大研究的受众范围[4]。同时，“人工智能智能更新"的重复修饰虽略显冗余，但通过强调"智能"特性，强化了技术