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Autores
Orientador(es)
Resumo(s)
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.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
Palavras-chave
Process Mining Healthcare Healthcare Information Systems Data Architecture Health process SDG 1 - No poverty SDG 3 - Good health and well-being
