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Authors: Michael Dück and Eberhard Beck

Affiliation: Department of Computer Science and Media, University of Applied Science Brandenburg, Magdeburger Street 50, Brandenburg, Germany

Keyword(s): Decision Support, Breast Cancer, e-Health, BPMN.

Abstract: Based on the current edition of the German guideline on Screening, Diagnosis, Treatment and Follow-up of breast cancer, we created a patient journey modelled in BPMN (Business Process Model and Notation V2) serving as template for the development of a patient centered decision support system. This approach resulted in two prototypical devices represented by a web-based information platform and a mobile application, intended to support the decision support at the point of care. These early prototypes were discussed with a clinical expert and the members of a regional breast cancer self-help group. The information gained by this approach will be integrated in the further user centered design of the devices.

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Paper citation in several formats:
Dück, M. and Beck, E. (2020). Prototypical Implementation of a Decision-supporting System for Operative Breast Cancer Therapy. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - HEALTHINF; ISBN 978-989-758-398-8; ISSN 2184-4305, SciTePress, pages 683-686. DOI: 10.5220/0009164506830686

@conference{healthinf20,
author={Michael Dück. and Eberhard Beck.},
title={Prototypical Implementation of a Decision-supporting System for Operative Breast Cancer Therapy},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - HEALTHINF},
year={2020},
pages={683-686},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009164506830686},
isbn={978-989-758-398-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - HEALTHINF
TI - Prototypical Implementation of a Decision-supporting System for Operative Breast Cancer Therapy
SN - 978-989-758-398-8
IS - 2184-4305
AU - Dück, M.
AU - Beck, E.
PY - 2020
SP - 683
EP - 686
DO - 10.5220/0009164506830686
PB - SciTePress