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健康研究与分析数据基础设施的可持续性考量

Sustainability considerations for health research and analytic data infrastructures.

作者信息

Wilcox Adam, Randhawa Gurvaneet, Embi Peter, Cao Hui, Kuperman Gilad J

机构信息

Intermountain Healthcare.

Agency for Healthcare Research & Quality.

出版信息

EGEMS (Wash DC). 2014 Sep 17;2(2):1113. doi: 10.13063/2327-9214.1113. eCollection 2014.

Abstract

INTRODUCTION

The United States has made recent large investments in creating data infrastructures to support the important goals of patient-centered outcomes research (PCOR) and comparative effectiveness research (CER), with still more investment planned. These initial investments, while critical to the creation of the infrastructures, are not expected to sustain them much beyond the initial development. To provide the maximum benefit, the infrastructures need to be sustained through innovative financing models while providing value to PCOR and CER researchers.

SUSTAINABILITY FACTORS

Based on our experience with creating flexible sustainability strategies (i.e., strategies that are adaptive to the different characteristics and opportunities of a resource or infrastructure), we define specific factors that are important considerations in developing a sustainability strategy. These factors include assets, expansion, complexity, and stakeholders. Each factor is described, with examples of how it is applied. These factors are dimensions of variation in different resources, to which a sustainability strategy should adapt.

SUMMARY OBSERVATIONS

We also identify specific important considerations for maintaining an infrastructure, so that the long-term intended benefits can be realized. These observations are presented as lessons learned, to be applied to other sustainability efforts. We define the lessons learned, relating them to the defined sustainability factors as interactions between factors.

CONCLUSION AND NEXT STEPS

Using perspectives and experiences from a diverse group of experts, we define broad characteristics of sustainability strategies and important observations, which can vary for different projects. Other descriptions of adaptive, flexible, and successful models of collaboration between stakeholders and data infrastructures can expand this framework by identifying other factors for sustainability, and give more concrete directions on how sustainability can be best achieved.

摘要

引言

美国近期投入了大量资金创建数据基础设施,以支持以患者为中心的结局研究(PCOR)和比较效果研究(CER)的重要目标,并且还计划进行更多投资。这些初始投资虽然对基础设施的创建至关重要,但预计在初始开发之后无法维持太久。为了实现最大效益,需要通过创新融资模式维持这些基础设施,同时为PCOR和CER研究人员提供价值。

可持续性因素

基于我们制定灵活可持续性战略(即适应资源或基础设施的不同特征和机遇的战略)的经验,我们定义了在制定可持续性战略时需要重点考虑的特定因素。这些因素包括资产、扩展、复杂性和利益相关者。每个因素都有描述,并举例说明其应用方式。这些因素是不同资源中变化的维度,可持续性战略应与之相适应。

总结观察

我们还确定了维护基础设施的具体重要考量因素,以便能够实现长期预期效益。这些观察结果作为经验教训呈现,可应用于其他可持续性工作。我们定义了这些经验教训,并将它们与已定义的可持续性因素联系起来,作为因素之间的相互作用。

结论与下一步措施

利用来自不同专家群体的观点和经验,我们定义了可持续性战略的广泛特征和重要观察结果,不同项目可能会有所不同。其他关于利益相关者与数据基础设施之间适应性、灵活性和成功合作模式的描述,可以通过识别其他可持续性因素来扩展这个框架,并就如何最好地实现可持续性给出更具体的指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d11/4371522/c3de3bed4985/egems1113f1.jpg

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