| 1. |
- Schönbeck, Pia, et al.
(författare)
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A Decision Support System for Hospital Configurations in Construction Projects
- 2022
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Ingår i: Buildings. - : MDPI. - 2075-5309. ; 12:10, s. 1-15
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Tidskriftsartikel (refereegranskat)abstract
- 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.
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| 2. |
- Schönbeck, Pia
(författare)
-
Data based configuration decisions in hospital construction projects
- 2022
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- 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.
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| 3. |
- Schönbeck, Pia, et al.
(författare)
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Evidence based configuration of concrete structures to ensure adequate magnetic resonance imaging
- 2022
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Ingår i: Proceedings of XXIVth Symposium on Nordic Concrete Research & Developement.
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Konferensbidrag (refereegranskat)abstract
- Hospitals are complex buildings and design solutions should fulfil functionalities to enable accurate diagnosis, treatment, and care. However, scientific results are seldom the basis for the design solution choices. Magnetic resonance imaging facilities require concrete structures fulfilling high requirements on vibration isolation to ensure diagnostic accuracy. The aim of the studies was to compare evidence from the literature to the chosen solutions in eight newly designed magnetic resonance imaging facilities. The conclusions are that there is insufficient scientific evidence for which structural configurations fulfil vibration requirements of MRI facilities, while those found were only partially implemented in recent designs.
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| 4. |
- Schönbeck, Pia, et al.
(författare)
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Framework for change control in healthcare construction projects compared to current practice
- 2022
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Ingår i: International Journal of Construction Management. - : Taylor & Francis Group. - 1562-3599 .- 2331-2327. ; 22:12, s. 2405-2412
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Tidskriftsartikel (refereegranskat)abstract
- Traditionally, the evaluation of changes in construction projects focuses on implications for cost and time. Analysis of impact on the configuration and subsequent end-user functionality is less analysed. Healthcare constructions have complex configurations and the functionality is imperative for patient care. There are problems with the deliveries in healthcare construction projects not fulfilling end-user functionality. Control of configuration changes reduces the risk for deviations from intended functionality. This study establishes the information required to obtain control and the availability in healthcare construction projects. A framework based on a literature review describes the information that is required to control configuration changes. In a case study of thirteen healthcare reconstruction projects, the available informationabout changes was compared with the framework. Management of changes was deficient in all the cases. In the investigated project logs, the implications of the configuration changes were significantly underestimated. Object models data provided detailed information about the impact of changes on the configuration, but this possibility was not used. There was no available information about requests to change the configuration, consequence analyses or implementation decisions. This study fills a research gap by adding the configuration perspective to change management in construction projects.
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| 5. |
- Schönbeck, Pia, et al.
(författare)
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Potential of automated configuration control to reduce hospital building deficiencies
- 2022
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Ingår i: Procedia Computer Science. - : Elsevier BV. ; , s. 61-68
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Konferensbidrag (refereegranskat)abstract
- 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.
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