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A Decision Support System for Hospital Configurations in Construction Projects
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Concrete Structures.ORCID iD: 0000-0002-2117-3168
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Concrete Structures.
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Concrete Structures.ORCID iD: 0000-0001-8336-1247
2022 (English)In: Buildings, E-ISSN 2075-5309, Vol. 12, no 10, p. 1-15, article id 1569Article in journal (Refereed) Published
Abstract [en]

Hospitals are complex buildings and their functionality is essential for patient healthcare. Definition, verification and implementation of accurate configuration information during construction projects are therefore essential. The purpose of this study was to develop a decision support systemby establishing a value chain of configuration information with an end-to-end perspective. The approach of this study was explorative, investigating how building data can support construction projects in making hospital configuration decisions. A literature review provided a knowledge base about the configuration decision process flow, which determined the prerequisites for the proposed data and model management. Exchange and relationships of required building data were ensured by using Industry Foundation Classes (IFC) and a database model, respectively. The results show that using building model data for configuration decision support is feasible. A case study compared data exchanged in three construction projects of Magnetic Resonance Imaging rooms to those identified in the decision support system. Operational gaps regarding data exchange in the studied cases indicate what changes are required in current data collection and management. The contribution of this study is filling a research gap regarding end-to-end information management to support hospitalconfiguration decisions in construction projects.

Place, publisher, year, edition, pages
MDPI, 2022. Vol. 12, no 10, p. 1-15, article id 1569
Keywords [en]
decision support system, data driven processes, configuration information, building model data, digitalisation, hospital buildings
National Category
Building Technologies
Research subject
Civil and Architectural Engineering, Concrete Structures
Identifiers
URN: urn:nbn:se:kth:diva-319519DOI: 10.3390/buildings12101569ISI: 000872641200001Scopus ID: 2-s2.0-85140837208OAI: oai:DiVA.org:kth-319519DiVA, id: diva2:1700370
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Region Stockholm, LDR626
Note

QC 20221003

Available from: 2022-09-30 Created: 2022-09-30 Last updated: 2024-01-17Bibliographically approved

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Schönbeck, PiaLöfsjögård, MalinAnsell, Anders

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