关于学习健康系统的学习:通过持续的评估和改进来加强理论
Andreas Gremyr1,2,3, Michael Seid1,4,5, Peter A Margolis1,4
1James M Anderson Center for Health Systems Excellence Cincinnati Children's Hospital Medical Center Cincinnati Ohio USA.
Learning health systems
|October 31, 2025
概括
本研究介绍了将理论和持续评估整合到学习健康系统 (LHS) 的框架. 它通过精炼理论与现实世界的数据来增强LHS的适应性和实践,解决理论与实践之间的差距.
科学领域:
- 医疗保健系统科学 医疗保健系统科学
- 医疗保健服务研究 医疗服务研究
- 实施科学 实施科学
背景情况:
- 学习健康系统 (LHSs) 旨在通过持续的学习和改进来改变医疗保健.
- 在LHS理论和实践之间存在差距,阻碍了跨不同环境的知识转移.
- 双极行动网络 (网络) 作为开发新框架的案例研究.
研究的目的:
- 提出一个新的框架,将理论化和持续评估整合到LHS中.
- 在LHS中弥合理论概念和实际应用之间的差距.
- 通过代的理论改进,提高LHS的适应性和有效性.
主要方法:
- 利用理论化的过程来构建中程理论,程序理论和LHS设计,开发和评估.
- 采用价值创造性学习健康系统的概念框架作为最初的中程理论.
- 应用了四个步骤的过程:选择中程理论,创建程序理论,评估性能,并根据发现改进理论.
主要成果:
- 拟议的框架强调使用现实世界的数据不断,多层次的LHS理论改进.
- 该框架连接了四个步骤:理论选择,程序理论创建,性能评估和代改进.
- 这一过程确保了LHS及其理论基础随着新的见解和挑战而不断发展.
结论:
- 该框架提供了一种实际的方法来连接LHS理论和实践.
- 持续的理论化和评估提高了LHS的有效性,适应性和理论发展.
- 解决数据基础设施和质量等挑战对于实现完全适应性的,理论驱动的LHS至关重要.
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