中国医疗质量智能管理政策的定量分析:一个PMC指数模型方法
Yanling Zhang1, Kaidi Lu2, Junfeng Lv3
1Jinan University, Guangzhou, China.
Frontiers in public health
|December 12, 2025
概括
中国中国中国中国.
科学领域:
- 医疗保健政策和管理
- 医疗信息学 医疗信息学
- 公共卫生管理公共卫生管理.
背景情况:
- 目前国家医疗质量智能管理政策 (MQIMPs) 的评估方法缺乏科学严谨性.
- 需要一个定量系统来确定现有的MQIMPs的优点和弱点.
- 改善MQIMPs对于提高医疗质量和指导医疗保健实践至关重要.
研究的目的:
- 开发和应用国家MQIMP的科学定量评估系统.
- 准确确定当前MQIMPs的优点和弱点.
- 为政策改进提供方向,并加强对实践的指导.
主要方法:
- 文本挖掘和内容分析技术的整合.
- 构建一个新的PMC指数模型.
- 使用PMC指数模型对当前的MQIMP进行全面评估.
主要成果:
- 中国的MQIMP系统是成熟的,总体表现出色.
- 在医疗质量控制,数据支持和政策受众方面发现了缺陷.
- 在这些确定的关键领域有很大的改进空间.
结论:
- 建议包括加强医疗质量控制政策和治理领域.
- 建议为数据支持建立数据生命周期治理框架.
- 为了改进MQIMPs,建议对政策受众维度改进受众细分标准.
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