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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 |Volume: 17 |Issue: 3 |Pages: 15
ISSN: 1548-1115|EISSN: 1548-1123|EISBN13: 9781799859543|DOI: 10.4018/IJEIS.2021070101
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MLA

Alencar de Medeiros, Francisco Petrônio, et al. "A Survey on the Application of Enterprise Architecture in Healthcare Systems: Challenges, Positive Impacts, and Success Factors." IJEIS vol.17, no.3 2021: pp.1-15. http://doi.org/10.4018/IJEIS.2021070101

APA

Alencar de Medeiros, F. P., Júnior, S. H., Silva, F. Í., Albuquerque, G. S., & Lira, H. B. (2021). A Survey on the Application of Enterprise Architecture in Healthcare Systems: Challenges, Positive Impacts, and Success Factors. International Journal of Enterprise Information Systems (IJEIS), 17(3), 1-15. http://doi.org/10.4018/IJEIS.2021070101

Chicago

Alencar de Medeiros, Francisco Petrônio, et al. "A Survey on the Application of Enterprise Architecture in Healthcare Systems: Challenges, Positive Impacts, and Success Factors," International Journal of Enterprise Information Systems (IJEIS) 17, no.3: 1-15. http://doi.org/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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