[1]张文一 李顺飞 张璇 毛丽 刘月辉.从质量1.0到5.0：医疗质量管理的进阶式发展与新质生产力管理需求探讨[J].中国卫生质量管理,2025,32(05):029-33.[doi:10.13912/j.cnki.chqm.2025.32.5.08]
　ZHANG Wenyi,LI Shunfei,ZHANG Xuan.From Quality 1.0 to 5.0: Exploring the Progressive Development of Medical Quality Management and the Management Needs of New Quality Productivity[J].Chinese Health Quality Management,2025,32(05):029-33.[doi:10.13912/j.cnki.chqm.2025.32.5.08]
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从质量1.0到5.0：医疗质量管理的进阶式发展与新质生产力管理需求探讨()
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《中国卫生质量管理》[ISSN:1006-7515/CN:CN 61-1283/R]

卷:
第32卷
期数:
2025年05期
页码:
029-33
栏目:
医疗质量
出版日期:
2025-05-15

文章信息/Info

Title:
From Quality 1.0 to 5.0: Exploring the Progressive Development of Medical Quality Management and the Management Needs of New Quality Productivity
作者:
张文一 李顺飞 张璇 毛丽 刘月辉
解放军总医院
Author(s):
ZHANG Wenyi;  LI Shunfei;  ZHANG Xuan
General Hospital of Chinese
关键词:
医疗质量管理; 发展历程; 发展趋势; 新质管理
Keywords:
Medical Quality Management; Development History; Development Trend; New Quality Management
分类号:
R197
DOI:
10.13912/j.cnki.chqm.2025.32.5.08
文献标志码:
A
摘要:
医疗质量是医院的核心，其管理方式随着医学技术和医院管理的发展而发展，随着医疗服务需求而进步。通过对标工业质量管理发展阶段的划分，将医疗质量管理的发展历程梳理为质量检查（质量1.0）、专业化质控（质量2.0）、全面质控（质量3.0）、数字质控（质量4.0）、主动质控（质量5.0）五个阶段。同时，系统追溯我国公立医院质量管理实践，指出当前医院医疗质量管理聚焦质量管理体系化、基于大数据的循证化过程监控以及提升重点病种和特殊人群的高质量服务需求。基于此，从新质生产力医疗质量管理要求出发，指出要挖掘医疗大数据的质量决策支持、创新主动全生命周期的医疗服务模式和整合式医疗服务模式，主动适应信息化与智能化深度融合的主动质量监管范式变革，使医疗保健达到以患者为中心、有效、安全的健康结局，医疗体系整体达到及时、公平、综合、高效和智能。
Abstract:
Medical quality is the core of a hospital, and its management approach evolves with advancements in medical technology and hospital management, as well as with the demands for medical services. By benchmarking the stages of development in industrial quality management, the evolution of medical quality management can be categorized into five stages: quality inspection (Quality 1.0), specialized quality control (Quality 2.0), total quality control (Quality 3.0), digital quality control (Quality 4.0), and proactive quality control (Quality 5.0). Meanwhile, by systematically tracing the practices of quality management in public hospitals in China, it is pointed out that current hospital quality management focuses on systematizing the quality management framework, evidence-based process monitoring based on big data, and enhancing high-quality service demands for key diseases and special populations. Based on this, and departing from the requirements of new quality productivity in medical quality management, it is emphasized that it is necessary to explore the quality decision support from medical big data, innovate proactive lifecycle medical service models and integrated medical service models, and actively adapt to the paradigm shift in proactive quality regulation characterized by the deep integration of informatization and intelligence. This will enable healthcare to achieve patient-centered, effective, and safe health outcomes, and the overall healthcare system to attain timeliness, equity, comprehensiveness, efficiency, and intelligence.

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更新日期/Last Update: 2025-05-15