在覆盖实体中运行以研究为导向的学习医疗保健系统:跨机构战略和创新
Timothy R Huerta1, Christopher W Bartlett2, Gabriel Alain1
1College of Medicine, The Ohio State University, Columbus, OH USA.
npj health systems
|December 19, 2025
概括
实施学习型健康系统 (LHS) 是一个挑战. 本文详细介绍了一个可扩展,可持续的以研究为导向的LHS模型,包括其结构,治理和跨学科研究的数据视觉.
科学领域:
- 医疗保健系统科学 医疗保健系统科学
- 翻译研究是翻译研究.
- 医疗信息学 医疗信息学
背景情况:
- 学习健康系统 (LHS) 概念在理论上已经确立,但面临实际实施的障碍.
- 弥合学术研究和临床实践之间的差距需要强大的系统基础设施.
研究的目的:
- 描述建立可扩展和可持续的以研究为导向的LHS的机构途径.
- 概述包括领导力,数据治理和技术创新在内的关键组成部分.
- 提出一个先进的数据策略,支持各种研究需求.
主要方法:
- 记录一个机构向LHS实施的旅程.
- 详细介绍领导和组织结构.
- 定义数据治理框架和技术架构.
主要成果:
- 提出了一个研究型LHS的综合模型.
- 确定了可扩展性和可持续性的关键要素.
- 提出了扩展数据视觉,以满足跨学科和翻译研究需求.
结论:
- 成功实施LHS需要在领导,治理和技术方面进行战略规划.
- 描述的模型为寻求建立可持续的以研究为导向的系统的其他机构提供了一个蓝图.
- 对齐的数据视图对于推进翻译和跨学科健康研究至关重要.
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