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使用以人为中心的数据模型评估有效性

Katja Antikainen¹, Ilona Rönkkö¹, Taina Tarkiainen¹

¹Wellbeing Services County of Kanta-Häme, Finland.

Studies in health technology and informatics

|July 1, 2025

概括

芬兰芬兰芬兰芬兰

科学领域:

医疗信息学医疗信息学
数据科学数据科学数据科学
公共卫生管理公共卫生管理

背景情况:

数据价值链对于将原始数据转化为可操作的洞察力,以提高决策和效率至关重要.
世界卫生组织 (WHO) 协助各国加强健康数据系统,以实现个性化护理.
有效的健康数据管理对于系统级知识和影响评估都至关重要.

研究的目的:

开发一个以人为中心的数据模型,整合医疗保健和社会服务信息.
解决需要全面的系统级知识管理和影响评估的需求.
创建一个数据结构,促进对数字服务利用的注册表研究.

主要方法:

芬兰Kanta-Häme的福利服务县 (WSC) 开发了一个新的以人为中心的数据模型.
整合各种数据类型,包括医疗保健事件,社会服务数据,用户需求,经验和成本.
利用欧盟下一代计划资金用于项目开发.

主要成果:

一个统一的,以人为中心的数据实体已经建立.
该模型通过结合健康和社会护理数据来促进整体视图.
数据模型是为高级分析和研究应用而设计的.

结论:

开发的以人为中心的数据模型增强了数据集成,以改善医疗保健和社会服务的洞察力.
这种方法支持系统层面的知识管理和影响评估.
该模型为研究数字服务使用和用户体验提供了基础.

关键词:

数据管理数据管理知识管理知识管理知识管理.系统集成系统集成系统集成

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