Understanding the key performance indicators for business intelligence maturity in the healthcare sector
dc.contributor.author | Silva, João | |
dc.contributor.author | Gonçalves, Célia Talma | |
dc.contributor.author | Oliveira, Catarina Félix de | |
dc.date.accessioned | 2022-06-29T15:00:24Z | |
dc.date.available | 2022-06-29T15:00:24Z | |
dc.date.issued | 2022-06-24 | |
dc.description.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. | pt_PT |
dc.identifier.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 | pt_PT |
dc.identifier.doi | https://doi.org/10.1007/978-981-19-1040-1_37 | pt_PT |
dc.identifier.isbn | 978-981-19-1039-5 (Print) | |
dc.identifier.isbn | 978-981-19-1040-1 (Online) | |
dc.identifier.uri | http://hdl.handle.net/11328/4332 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | Springer | pt_PT |
dc.relation.ispartofseries | Smart Innovation, Systems and Technologies book series;293 | |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-981-19-1040-1_37 | pt_PT |
dc.rights | restricted access | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Business intelligence | pt_PT |
dc.subject | Maturity models | pt_PT |
dc.subject | Health care | pt_PT |
dc.title | Understanding the key performance indicators for business intelligence maturity in the healthcare sector | pt_PT |
dc.type | conferenceObject | pt_PT |
degois.publication.firstPage | 435 | pt_PT |
degois.publication.lastPage | 445 | pt_PT |
degois.publication.title | Advances in Tourism, Technology and Systems, (Smart Innovation, Systems and Technologies book series) | pt_PT |
degois.publication.volume | 293 | pt_PT |
dspace.entity.type | Publication | en |
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