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Supporting future-proof healthcare design by narrowing the design space of solutions using building information modelling

Krystallis, I; Demian, P; Price, A; (2013) Supporting future-proof healthcare design by narrowing the design space of solutions using building information modelling. In: Smith, SD and Ahiaga-Dagbui, DD, (eds.) Proceedings of the 29th Annual ARCOM Conference 2013. Association of Researchers in Construction Management (ARCOM) Green open access

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Abstract

BIM has been characterized by the UK Government’s chief construction adviser as unstoppable regarding its rise in construction and he further positioned BIM as mandatory for public projects in the UK by 2016. Moreover, large scale public projects such as healthcare facilities must be seen as a process, being able to meet the constantly changing demands imposed on healthcare infrastructure. Facilities should be designed as change-ready rather than to meet fixed requirements, therefore, the designer should accommodate as large section of design space potential solutions instead of mistakenly narrowing the response of the project to only one solution. Scenario based design was employed as research and design method for the proposed software modules which would extend the Activity Database (ADB). Two modules are proposed that will enable designers to improve their spatial design decisions for both new and refurbishment projects through partially automated knowledge extraction. Additionally, the integration of flexibility and standardisation concepts has been addressed. The proposed design approach is intended to provide rich knowledge representation at the early stages of the design process in less time and effort.

Type: Proceedings paper
Title: Supporting future-proof healthcare design by narrowing the design space of solutions using building information modelling
Event: 29th Annual ARCOM Conference, 2-4 September 2013, Reading, UK
Location: Reading
Dates: 02 September 2013 - 04 September 2013
ISBN-13: 9780955239076
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.arcom.ac.uk/-docs/proceedings/ar2013-00...
Language: English
Additional information: This is the published version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Decision theory, Healthcare, Information extraction, Information technology, Standardisation
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
URI: https://discovery.ucl.ac.uk/id/eprint/10038321
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