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Implementing the model-based systems engineering (MBSE) approach to develop an assessment framework for healthcare facility design

Published online by Cambridge University Press:  16 May 2024

Tahere Golgolnia ,
Timoleon Kipouros ,
P. John Clarkson ,
Gesine Marquardt  and
Maja Kevdzija
Tahere Golgolnia*
Affiliation:
University of Cambridge, United Kingdom Technische Universität Dresden, Germany
Timoleon Kipouros
Affiliation:
University of Cambridge, United Kingdom
P. John Clarkson
Affiliation:
University of Cambridge, United Kingdom
Gesine Marquardt
Affiliation:
Technische Universität Dresden, Germany
Maja Kevdzija
Affiliation:
TU Wien, Austria
*
tahere.golgolnia@tu-dresden.de

Abstract

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The global elderly population rises, increasing dementia cases. Built environment impact on dementia health outcomes is known, forming the basis for evidence-based design studies. There's a need for a comprehensive assessment framework due to the complexity of interactions among Architectural Variables (AVs) and Health and Care Outcomes (HCOs). This paper proposes using Model-Based Systems Engineering (MBSE) to create such a framework. It collects data from 105 studies on 40 AVs, 36 HCOs, and 396 interactions. MBSE offers a holistic understanding, aiding healthcare facility design decisions.

Keywords

model-based systems engineering (MBSE)design evaluationdesign toolsdementia-friendly designARCADIA
Type
Design for Healthcare
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 1577 - 1586
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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