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Potential of automated configuration control to reduce hospital building deficiencies
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: Procedia Computer Science, Elsevier BV , 2022, Vol. 196, p. 61-68Conference paper, Published paper (Refereed)
Abstract [en]

The configuration of healthcare buildings is complex, especially emergency hospitals that require many functions. In this study, the aim was to explore if automated configuration control can reduce occurrences of hospital deficiencies in construction projects. A bow-tie risk analysis identified the causes and consequences of configuration deficiencies. Measures to prevent and recover from deficiencies were established from configuration management research. Three newly built emergency hospitals were studied to investigate to what extent causes, consequences, preventive and recovery measures were present. The most common causes of deficiencies were deviations from intended configurations, in the literature and the cases. The consequences were cost increase, time delays, insufficient deliveries and corrective rework. None of the examined cases had implemented preventive or recovery measures associated with configuration control. Altogether, these results indicate that automation of configuration control may effectively reduce hospital building deficiencies and subsequent effects.

Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 196, p. 61-68
Series
Procedia Computer Science, ISSN 1877-0509 ; 196
Keywords [en]
Information management, Configuration management, Automation, Digital transformation, Healthcare buildings
National Category
Building Technologies Construction Management
Research subject
Information and Communication Technology; Civil and Architectural Engineering
Identifiers
URN: urn:nbn:se:kth:diva-307069DOI: 10.1016/j.procs.2021.11.073Scopus ID: 2-s2.0-85122875277OAI: oai:DiVA.org:kth-307069DiVA, id: diva2:1626261
Conference
2021 International Conference on ENTERprise Information Systems, CENTERIS 2021 / ProjMAN 2021 - International Conference on Project MANagement / HCist 2021 and International Conference on Health and Social Care Information Systems and Technologies 2021 Braga 13 October 2021 through 15 October 2021
Note

QC 20220204

Available from: 2022-01-11 Created: 2022-01-11 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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