Prototypical Implementation of a Decision-supporting System for Operative Breast Cancer Therapy

Michael Dück, Eberhard Beck

2020

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.

Paper Citation

in Harvard Style

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) - Volume 5: HEALTHINF; ISBN 978-989-758-398-8, SciTePress, pages 683-686. DOI: 10.5220/0009164506830686

in Bibtex Style

@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) - Volume 5: HEALTHINF},
year={2020},
pages={683-686},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009164506830686},
isbn={978-989-758-398-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: HEALTHINF
TI - Prototypical Implementation of a Decision-supporting System for Operative Breast Cancer Therapy
SN - 978-989-758-398-8
AU - Dück M.
AU - Beck E.
PY - 2020
SP - 683
EP - 686
DO - 10.5220/0009164506830686
PB - SciTePress