Título: | DATA AUTOMATION AND DOCUMENT MANAGEMENT OPTIMIZATION: A CASE STUDY IN THE PUBLIC SECTOR | ||||||||||||
Autor(es): |
BRUNO PORTO BRITO |
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Colaborador(es): |
MARCOS LOPEZ REGO - Orientador |
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Catalogação: | 10/JUN/2025 | Língua(s): | PORTUGUESE - BRAZIL |
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Tipo: | TEXT | Subtipo: | SENIOR PROJECT | ||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=70901@1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=70901@2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.70901 | ||||||||||||
Resumo: | |||||||||||||
This work analyzed the impact of data automation and document
management in the public sector, with a case study at Hospital Municipal Miguel
Couto. Using the CRISP-DM methodology, it was possible to implement an
interactive Dashboard based on the Kanban system, which organized the
document flow, brought visibility to the stages and facilitated the monitoring of
activities. The results showed that automation promoted greater efficiency and
clarity in the document processing process, although challenges such as network
security and limited infrastructure still represent barriers to innovation. Interviews
with employees highlighted management benefits and suggested improvements,
such as the addition of performance indicators to deepen the analysis of document
flows. For new studies, it is recommended to explore digital transformation in other
areas of the municipal public sector, such as Education and Infrastructure, aiming
to create a more modern and data-driven public administration.
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