Publicação
Architecture for the application of Process Mining in a hospital setting
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | pt_PT |
| dc.contributor.advisor | Santos, Vítor Manuel Pereira Duarte dos | |
| dc.contributor.author | Carvalho, António Rodrigues | |
| dc.date.accessioned | 2024-10-24T14:27:28Z | |
| dc.date.available | 2024-10-24T14:27:28Z | |
| dc.date.issued | 2024-10-22 | |
| dc.description | Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics | pt_PT |
| dc.description.abstract | The Portuguese population is ageing which puts more pressure on the public healthcare services. Therefore, it is required to improve the efficiency of these services in order to maintain a certain level of care quality to the patients. Nowadays, a hospital generates a significant amount of data patient’s data, from vital signs to appointment scheduling, which offers an opportunity for revealing insights into the different processes. Process Mining, an emerging technology, provides the tools for discovering the different path patterns within the process as well as comparing them to pre-defined process models. This thesis proposes a holistic data architecture that can guide professionals into capitalizing hospitals’ data by utilizing this technology in a hospital context. From the extraction of event data to the various Process Mining techniques, this architecture establishes a standard course of action based on the best practices in the field as well asthe various types of analysis available. The architecture was also evaluated on its effectiveness by two experts of information systems in a healthcare context. | pt_PT |
| dc.identifier.tid | 203776453 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/173986 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Process Mining | pt_PT |
| dc.subject | Healthcare | pt_PT |
| dc.subject | Healthcare Information Systems | pt_PT |
| dc.subject | Data Architecture | pt_PT |
| dc.subject | Health process | pt_PT |
| dc.subject | SDG 1 - No poverty | pt_PT |
| dc.subject | SDG 3 - Good health and well-being | pt_PT |
| dc.title | Architecture for the application of Process Mining in a hospital setting | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Ciência de Dados e Métodos Analíticos Avançados, especialização em Métodos Analíticos para a Gestão | pt_PT |