Process modelling of organized screening programs breast cancer

Research output: Contribution to journalMeeting Abstractpeer-review

Abstract

Breast cancer is the most frequent cancer among women and one of the principal causes of cancer related death in women worldwide, being a public health problem. Oncology screenings allow its early detection and reduce its mortality. Business process management (BPM) is a management field that leads an organization into continuously improvement with increase of efficiency. The processes of the healthcare system are complex what makes the application of BPM techniques harder, however their usage has been increasing in this sector.

The main objective of this study is the identification and modelling of BPM processes for the Portuguese breast cancer screening.

The current processes and the entities (actors, systems and documents) involved in the Breast Cancer Organized Screening performed by the Portuguese League Against Cancer were identified through interviews to the employees. With the information retrieved and using Bizagi the related As-Is diagrams were developed.

In this work 5 processes within the Breast Cancer Organized Screening were identified: Process “Patients' invitation”; Process “Screening”; Process “Reading of the exam”; Process “Check-up Consultation” and Process “Sending Results”. Through the analysis of the As-Is diagrams and of the available information, a critical analysis was made. As for example, in the process “Patients' invitation” an invitation letter is sent 15 days earlier to the patient but no telephone contact is done before the screening. An improvement could be sending a message in the day before the screening, remembering the appointment, avoiding forgetfulness absences.

With this work the mainly processes of the breast cancer organized screening were modelled as “As-Is” diagrams and, in a macroscopic way, some of the problems were identified and improvement suggestions were made in order to achieve the main objective of the process, the early detection of breast cancer, while optimizing the process.
Original languageEnglish
Pages (from-to)V537-V537
Number of pages1
JournalEuropean Journal of Public Health
Volume30
Issue numberSupl. 5
DOIs
Publication statusPublished - 30 Sep 2020

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