护理管理中的数据分析和行政决策:系统性审查
Nathidathip Darach1,2, Min Su Kim2, Wasinee Wisesrith1
1Faculty of Nursing, Chulalongkorn University, Bangkok, Thailand.
Journal of nursing management
|November 14, 2025
概括
数据分析显著提高了护士经理的行政决策,改善了患者护理和运营绩效. 投资于数字技能和支持性基础设施对于有效的基于证据的管理至关重要.
科学领域:
- 护理管理 护理管理
- 医疗信息学 医疗信息学
- 在医疗保健中的数据科学.
背景情况:
- 医疗保健越来越多地采用数据分析来基于证据的决策.
- 护士经理是利用数据优化患者护理和组织绩效的关键.
- 医疗保健的数字化转型需要加强管理流程.
研究的目的:
- 系统地审查数据分析对护士管理人员行政决策的影响.
- 探索护士经理在数据驱动的医疗环境中的不断变化的角色.
- 确定数据分析影响护理管理的关键领域.
主要方法:
- 在遵守PRISMA指南的基础上进行系统审查.
- 在四个数据库 (PubMed,CINAHL,MEDLINE,Embase) 进行了全面的搜索,用于2019-2024年的研究.
- 选2051项研究,其中21项符合审查条件,使用叙事综合和质量评估.
主要成果:
- 数据分析应用涵盖了描述,诊断,预测和规范等级.
- 具有多样化的设计的21项研究探索了护理管理中的数据分析.
- 还确定了结合多个分析级别的综合方法.
结论:
- 数据分析集成增强了护理管理中的行政决策.
- 主要影响领域包括患者护理质量,战略管理,人员配置和危机管理.
- 发展护士经理的数字能力对于有效的数据利用至关重要.
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