一个系统的审查和可持续学习医疗保健系统的建议框架
Olga Golburean1, Espen Solbakken Nordheim2, Arild Faxvaag1
1Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU-Norwegian University of Science and Technology, Trondheim, Norway.
International journal of medical informatics
|October 18, 2024
概括
实施学习健康系统 (LHS) 需要解决互操作性,数据集成和文化障碍. 可持续的LHS模型需要经济规划,共同的API的国家治理,以及多学科团队参与,以获得成功的医疗保健改进.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 信息科学 信息科学 信息科学
- 组织科学 组织科学
背景情况:
- 医疗保健面临着从实践和结果数据中学习的挑战.
- 学习健康系统 (LHS) 框架旨在通过持续学习改善医疗保健.
- 目前的LHS采用是有限的,通常仅限于单个部门或特定周期阶段,需要更大规模的实施理解.
研究的目的:
- 确定完整的学习健康系统 (LHS) 实施方案.
- 提供关于LHS实施策略,成功因素,障碍和结果的建议.
主要方法:
- 根据PRISMA指南进行了系统审查.
- 在PubMed和Scopus数据库中搜索相关研究.
- 数据被主题分类为LHS实施的规模,战略,结果和障碍.
主要成果:
- 在1279篇论文中,有37篇被纳入最终分析.
- 障碍包括互操作性,数据集成,EHR挑战,文化,领导力和监管问题.
- 很少有研究讨论长期经济可持续性或提供客观的绩效测量.
结论:
- 可持续的LHS需要经济模型,共同的API的国家治理,以及高效的伦理审查流程.
- 有效的LHS实施取决于技术基础设施和多学科团队的积极参与.
- 分享默认的知识和促进跨独立倡议的合作对于LHS的成功至关重要.
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