A Survey on the Application of Enterprise Architecture in Healthcare Systems: Challenges, Positive Impacts, and Success Factors

A Survey on the Application of Enterprise Architecture in Healthcare Systems: Challenges, Positive Impacts, and Success Factors

Francisco Petrônio Alencar de Medeiros, Silvano Herculano da Luz Júnior, Francisco Ícaro Cipriano Silva, Gustavo Sousa Galisa Albuquerque, Heremita Brasileiro Lira
Copyright: © 2021 |Pages: 15
DOI: 10.4018/IJEIS.2021070101
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Abstract

Enterprise architecture (EA) has been present in scientific literature since the 1980s and has branched out into several research fields. EA delivers value by presenting business and information technology leaders with recommendations for adjusting policies to achieve business goals. Although there are many works on the EA application in healthcare systems, the literature lacks studies that provide a systematic approach to this topic. This work presents a broad systematic literature review (SLR) to select studies demonstrating current EA practices in healthcare systems. The researchers established an SLR protocol returning 280 primary studies after the first step of the data selection and a consolidated inclusion of 46 articles after the second step. They assessed the level of disagreement during the team's evaluations using Cohen's Kappa. This SLR revealed essential aspects of state-of-the-art EA application in healthcare systems, such as the challenges, positive impacts, and critical success factors described by the studies' authors based on empirical approaches.
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Background

Enterprise Architecture is a management and technology practice that is devoted to improving enterprises' performance. It enables them to see themselves in terms of a holistic and integrated view of their strategic direction, business practices, information flows, and technology resources (Bernard, 2012). EA includes details about an organization's processes, capabilities, data, application systems, and IT infrastructure using various standardized representation techniques (Kaisler et al., 2005; Lankhorst, 2013). An enterprise-wide architecture should serve as an authoritative reference, source of standards for processes/resources, and provider of designs for future operating states. Moreover, the best practices are very resource-intensive, and the scope is not all-inclusive because of the costs of implementation and maintenance methods. The organization faces the challenge of deciding which to adopt, how to do it, and what overlaps, contradictions, and gaps from the resulting collection (Bernard, 2012).

Processes based on ontological structures are predictable and produce repetitive results; on the other hand, those not based rely exclusively on their practitioners (Zachman, 2016). EA's analysis is not limited to IT systems, but also covers the relationship and support of business entities. Thus, EA research focuses on the "strategic" implications of EA's efforts in the Mission, Vision, Strategy, Objectives, Actions, and Operations of the analyzed business systems (Aier, 2014; Boh & Yellin, 2007; Ross et al., 2006).

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