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Guiding the Design of Evaluations of Innovations in Health Informatics: a Framework and a Case Study of the SMArt SHARP Evaluation

机译:指导健康信息学创新评估设计:SMArt SHARP评估的框架和案例研究

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摘要

Development of health information systems innovations is necessary to create a better future for health and health care, but evaluating them is challenging. This paper examines the problem of evaluating health IT projects in which innovation is agile, adaptive, and emergent, and in which innovation diffusion and production are interlinked. We introduce a typology of mindsets for evaluation design that are typically used in health informatics: optimality, contingency, and usefulness, and make the case for a modularity mindset. We propose a model that shifts the unit of analysis from an evaluation as a whole, to specific modules of an evaluation, such as purpose, target, and methods. We then use retrospective participant observation to illustrate the approach using a case study: the ONC SHARP Harvard project developing the SMArt platform (). We find that the proposed modular approach to evaluation design provides a balanced alternative to standard archetypical designs on the one hand, and fully custom-made designs, on the other hand.
机译:开发健康信息系统创新对于创造健康和医疗保健的美好未来是必不可少的,但对其进行评估却具有挑战性。本文探讨了评估健康IT项目的问题,在这些项目中,创新是敏捷,适应性和新兴的,创新扩散与生产是相互联系的。我们介绍了通常用于健康信息学的评估设计思维方式的类型:最优性,偶然性和实用性,并为模块化思维方式提供了理由。我们提出了一个模型,该模型将分析的单位从整体评估转移到评估的特定模块,例如目的,目标和方法。然后,我们使用案例研究进行回顾性参与者观察来说明该方法:ONC SHARP Harvard项目正在开发SMArt平台。我们发现,提出的评估设计模块化方法一方面可以为标准原型设计提供平衡的选择,另一方面可以为完全定制的设计提供平衡的选择。

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