Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/142268
Title: Process modelling (bpm) in healthcare
Author: Terras Marques, Inês
Santos, Carolina
Santos, Vítor
Keywords: Business process management
Frameworks
Oncology
Theoretical Computer Science
Computer Science(all)
SDG 3 - Good Health and Well-being
Issue Date: 10-Jul-2020
Publisher: Springer
Abstract: Breast cancer is a malignant epithelial neoplasm and it is a public health problem that has high incidence and mortality in women. Focusing the clinical performance on processes is proving to be the way to improve morbidity and mortality statistics. Business process management (BPM) is a management field that improves and analyzes business processes according to organizations’ strategies. The early diagnosis of breast cancer is of great importance since it will enable more conservative treatments and a longer disease-free survival. Organized oncology screening programs, with all elements properly prepared, revealed to be more efficient than the opportunistic screenings. BPM usage will enable optimize and manage all processes from the screening until the diagnosis and treatment. The aim of this study is identification and modelling of BPM processes for the healthcare sector, namely, for Portuguese organized breast cancer screening. To achieve this goal, it was required the identification of the main processes by an interview to the employees and the development of “As-Is” diagrams. Some of the problems in a macroscopic way were detected and improvement suggestions were made.
Description: Terras Marques, I., Santos, C., & Santos, V. (2020). Process modelling (bpm) in healthcare : breast cancer screening. In M. Antona, & C. Stephanidis (Eds.), Universal Access in Human-Computer Interaction: Design Approaches and Supporting Technologies. 14th International Conference, UAHCI 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I (pp. 98-109). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12188 LNCS). Springer. https://doi.org/10.1007/978-3-030-49282-3_7
Peer review: yes
URI: http://hdl.handle.net/10362/142268
DOI: https://doi.org/10.1007/978-3-030-49282-3_7
ISBN: 9783030492816
ISSN: 0302-9743
Appears in Collections:NIMS: MagIC - Documentos de conferências internacionais

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