Learning health system, positive deviance analysis, and electronic health records: Synergy for a learning health system

IF 2.6 Q2 HEALTH POLICY & SERVICES
Kristen M.J. Azar, Mark J. Pletcher, Sarah M. Greene, Alice R. Pressman
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引用次数: 0

Abstract

Introduction

Over the past decade, numerous efforts have encouraged the realization of the learning health system (LHS) in the United States. Despite these efforts, and promising aims of the LHS, the full potential and value of research conducted within LHSs have yet to be realized. New technology coupled with a catalyzing global pandemic have spurred momentum. In addition, the LHS has lacked a consistent framework within which “best evidence” can be identified. Positive deviance analysis, itself reinvigorated by recent advances in health information technology (IT) and ubiquitous adoption of electronic health records (EHRs), may finally provide a framework through which LHSs can be operationalized and optimized.

Methods

We describe the synergy between positive deviance and the LHS and how they may be integrated to achieve a continuous cycle of health system improvement.

Results

As we describe below, the positive deviance approach focuses on learning from high-performing teams and organizations.

Conclusion

Such learning can be enabled by EHRs and health IT, providing a lens into how digital clinical interventions are successfully developed and deployed.

Abstract Image

学习型健康系统,积极偏差分析和电子健康记录:学习型健康系统的协同作用
在过去的十年中,许多努力鼓励了美国学习型医疗系统(LHS)的实现。尽管做出了这些努力,LHS的目标也很有希望,但在LHS内进行的研究的全部潜力和价值尚未实现。新技术加上催化性的全球大流行推动了这一势头。此外,LHS缺乏一个可以确定“最佳证据”的一致框架。积极偏差分析本身因最近卫生信息技术(IT)的进步和电子健康记录(EHRs)的普遍采用而重新焕发活力,最终可能提供一个框架,通过该框架,lhs可以运作和优化。方法我们描述了积极偏差和LHS之间的协同作用,以及如何将它们整合起来以实现卫生系统改进的连续循环。正如我们下面所描述的,积极偏差方法侧重于向高绩效团队和组织学习。这样的学习可以通过电子病历和医疗信息技术来实现,为数字化临床干预的成功开发和部署提供了一个视角。
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来源期刊
Learning Health Systems
Learning Health Systems HEALTH POLICY & SERVICES-
CiteScore
5.60
自引率
22.60%
发文量
55
审稿时长
20 weeks
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