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A decision support model 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
(English)Manuscript (preprint) (Other academic)
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 model by 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, which determined the entities and composite attributes for the proposed database model. The possibility to extract data from building models to a database was studied by establishing relevant exchange schemas. A case study compared the IFC schemas from three construction projects of Magnetic Resonance Imaging rooms to the database model. The results show that using building model data for decision support is feasible. In the cases studied, there were operational gaps compared to the model regarding data availability about object relationships, processes and resources. This shows a need for change in current data collection and management. The contribution of this study is filling a research gap regarding end-to-end information management to support hospital configuration decisions in construction projects.

Keywords [en]
Decision model, Data driven processes, Configuration information, Building model data, Digitalisation, Hospital building
National Category
Other Civil Engineering Construction Management
Research subject
Civil and Architectural Engineering, Concrete Structures; Civil and Architectural Engineering; Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-309924OAI: oai:DiVA.org:kth-309924DiVA, id: diva2:1644609
Funder
Region Stockholm, LDR6262
Note

QC 20220325

Available from: 2022-03-15 Created: 2022-03-15 Last updated: 2022-06-25Bibliographically approved
In thesis
1. Data based configuration decisions in hospital construction projects
Open this publication in new window or tab >>Data based configuration decisions in hospital construction projects
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The purpose of hospital buildings is to enable the diagnosis, treatment and caring of patients. Hospital configurations are therefore complex and deficient functionality at the final delivery of construction projects are a known issue. Configuration management is essential to ensure that all required functions are fulfilled. Digital building model data can provide the necessary information to support management of hospital configurations. Data based decisions are dependent on a baseline that contains all required functions. Thereafter, connections between data regarding functions, solutions and production methods should be established. This knowledge provides opportunities for automated data analyses giving real time accurate configuration information, enabling the prevention of deviations from the client’s intent and streamlining processes. The studies in this compilation thesis investigate this subject from different perspectives. Literature reviews, case studies and quantitative analyses of digital building data were the methods used. The results show that the systematic management of data and information can ensure hospital configurations that fulfil required functions at handover. These studies provide a conceptual model showing how configuration information applies to the construction project processes. The proposed detailed decision model shows how data from building models can support hospital configuration decisions in construction projects. Studies show that hospital construction projects management of configuration changes information is deficient. Manually managed logs contained insufficient information about the changes, while the building model data unused by the investigated projects was significantly more reliable. A risk analysis shows that data based configuration decisions in construction projects can prevent hospital building deficiencies, or facilitate recovery if they have already occurred. Digital technologies can improve the accuracy of configuration information, on which automated and industrial production equipment are dependent. However, construction project research seldom addresses the potential synergy and sustainability effects of different technologies. All case studies performed show that the current configuration information management in hospital projects is incomplete. Consequences found were cost increase, delays, reduced client value and corrective rework. The overall conclusion is that data based decisions can improve the control over hospital configurations, ensuring healthcare functions, construction project outcomes and sustainability. This thesis identifies a new research field by showing the potential of data based configuration decisions.

Abstract [sv]

Syftet med sjukhusbyggnader är att möjliggöra diagnostisering, behandling och vård av patienter. Komplexiteten i utformningen av sjukhus gör att bristande funktionalitet är ett känt problem vid slutleveransen i byggprojekt. Därför är styrningen av utformningen viktig för att säkerställa att alla erforderliga sjukvårdsfunktioner uppfylls. Digitala byggnadsmodeller kan tillhandahålla data som ger information som stödjer styrningen av sjukhusutformningar. Databaserade beslut kräver en tydligt definierad basutformning innehållande alla funktionskrav. Därefter behöver datasamband mellan funktioner, projekteringslösningar och produktionsmetoder fastställas. Denna kunskap ger möjlighet till automatiserade analyser som ger information om utformningen i realtid, vilket förebygger avvikelser från kundens intentioner och effektiviserar processer. Studierna i denna sammanläggnings-avhandling undersöker detta ämne med olika perspektiv. Litteratursammanställningar, fallstudier och kvantitativa analyser var metoderna som användes. Resultaten visar att systematisk hantering av data och information gällande sjukhusutformningar möjliggör säkerställande av att funktionskrav uppfylls. Studierna tillhandahåller en konceptuell modell som visar hur utformningsinformation kan användas i byggprojektprocesserna. En detaljerad beslutsmodell visar hur byggnadsdata kan förse sjukhusprojekt med utformningsbeslutsstöd. Undersökningar av hur information gällande utformnings-ändringar hanterades i sjukhusbyggprojekt visade på brister. Manuellt hanterade loggar innehöll bristfällig information gällande ändringar, medan de av projekten oanvända byggnadsmodelldata signifikant hade förbättrat tillförlitligheten. En riskanalys visar att databaserade beslut kan förebygga utformningsbrister i sjukhusprojekt och underlätta en återställning om de uppkommit. Automatiserande industriella produktionstekniker är beroende av tillgång till tillförlitlig av utformningsinformation. Resultaten visar att potentiella synergi- och hållbarhetseffekter av olika teknologier sällan adresseras inom byggprojektforskning. Alla fallstudier som gjorts visar att nuvarande hantering av utformningsinformation är ofullständig. De konsekvenserna som hittats är kostnadsökningar, förseningar, minskat kundvärde och korrigerande omarbetningar. Den övergripande slutsatsen är att databaserade beslut kan öka kontrollen över sjukhusutformningar, vilket säkerställer sjukvårdsfunktioner, byggprojektutfall och hållbarhet. Denna avhandling identifierar ett nytt forskningsområde genom att påvisa potentialen i databaserade utformningsbeslut.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2022. p. 79
Series
TRITA-ABE-DLT ; 224
Keywords
Information management, Configuration management, Decision support, Hospital buildings
National Category
Construction Management Construction Management
Research subject
Civil and Architectural Engineering, Concrete Structures
Identifiers
urn:nbn:se:kth:diva-309925 (URN)978-91-8040-177-7 (ISBN)
Public defence
2022-04-26, https://kth-se.zoom.us/j/68954393092, F3, Lindstedtsvägen 26, KTH Campus, Stockholm, 10:00 (English)
Opponent
Supervisors
Funder
Region Stockholm, LDR6262
Note

QC 20220328

Available from: 2022-03-28 Created: 2022-03-25 Last updated: 2025-02-14Bibliographically approved

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Schönbeck, PiaLöfsjögård, MalinAnsell, Anders

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