Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/4332
Title: Understanding the key performance indicators for business intelligence maturity in the healthcare sector
Authors: Silva, João
Gonçalves, Célia Talma
Oliveira, Catarina Félix de
Keywords: Business intelligence
Maturity models
Health care
Issue Date: 24-Jun-2022
Publisher: Springer
Citation: Silva, J., Gonçalves, C. T., & Félix, C. (2022). Understanding the key performance indicators for business intelligence maturity in the healthcare sector. In A. Abreu, D. Liberato, & J. C. Garcia Ojeda (Eds.), Advances in Tourism, Technology and Systems, (Smart Innovation, Systems and Technologies, vol. 293, pp. 435-445). Springer. https://doi.org/10.1007/978-981-19-1040-1_37. Repositório Institucional UPT. http://hdl.handle.net/11328/4332
Series/Report no.: Smart Innovation, Systems and Technologies book series;293
Abstract: The digital transformation associated with the huge volume of data that healthcare organizations deal with today is based on transforming this complex knowledge-driven industry to turn data into knowledge. The healthcare industry requires comprehensive models that help identify priorities to implement business intelligence (BI) solution. Business intelligence can help organizations make better decisions by showing current and historical data within their business context. This paper systematizes and analyzes three business intelligence maturity models into one and also attempts to understand the main key performance indicators in adopting business intelligence maturity model in healthcare organizations. For this purpose, we present a questionnaire that was based on the systemized business intelligence maturity model that was sent to X% of the Portuguese hospitals with the objective of identifying not only the business intelligence maturity stage of the Portuguese hospitals but also to infer the most important key performance indicators that will characterize each stage.
URI: http://hdl.handle.net/11328/4332
ISBN: 978-981-19-1039-5 (Print)
978-981-19-1040-1 (Online)
Appears in Collections:REMIT - Publicações em Livros de Atas Internacionais / Papers in International Proceedings



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