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Information Systems and Healthcare XXIV: Factors Affecting the EAI Adoption in the Healthcare Sector

机译：信息系统和医疗保健二十四：影响医疗保健行业采用EAI的因素

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摘要

Recent developments in the field of integration technologies like Enterprise Application Integration (EAI) have emerged to support organizations towards improving the quality of services and reducing integration costs. Despite the importance of EAI, there is limited empirical research reported on its adoption in the healthcare sector. Khoumbati et al. [2006] developed a model for the evaluation of EAI in healthcare organizations. In doing so, the causal interrelationship of EAI adoption factors was identified by using fuzzy cognitive mapping. This paper is a progression of previous work in the area and seeks to contribute by validating the model through a different case environment. Thus, this paper contributes by deriving and proposing the MAESTRO model for EAI adoption. MAESTRO identifies a set of factors that influence EAI adoption and it is evaluated through a real-life case study. It provides an understanding of the EAI adoption process through its grounding on empirical data. In doing so, the MAESTRO model supports the management of healthcare organizations during the decision-making process for EAI adoption.
机译：诸如企业应用程序集成（EAI）之类的集成技术领域的最新发展已经出现，以支持组织提高服务质量并降低集成成本。尽管EAI的重要性，但有关在医疗行业采用EAI的实证研究却很少。 Khoumbati等。 [2006]开发了一种用于评估医疗机构中EAI的模型。这样做，通过使用模糊认知映射来识别EAI采用因子的因果关系。本文是该领域先前工作的进展，力图通过在不同案例环境中验证模型来做出贡献。因此，本文通过推导和提出采用EAI的MAESTRO模型做出了贡献。 MAESTRO确定了影响EAI采用的一系列因素，并通过实际案例研究对其进行了评估。通过其基于经验数据的理解，可以了解EAI的采用过程。这样，MAESTRO模型在采用EAI的决策过程中支持医疗机构的管理。

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