Difficulty and Facilitating Factors in the Implementation of 4.0 Technologies in Health Systems

The aim of this study was to understand which factors hinder and facilitate the implementation of 4.0 technologies in health systems.Thus, to answer the core question of this study, we opted for a descriptive exploratory study with a qualitative approach, with semi-structured interviews being carried out with national and international personalities in the health sector and stakeholders in the health sector, in order to have a knowledge of their perception on the subject of the study in question.The results of our study suggested that the implementation of 4.0 technologies in health systems has as hindering factors: lack of funding, lack of qualified human resources, the current structure of health systems and resistance to change by professionals and patients and as facilitating factors: cost reduction and interoperability policies in health systems

BIM-based operational information requirements for asset owners

It is widely recognised in the Architecture, Engineering and Construction (AEC) industry that asset owners do not really understand their information needs for effective BIM-based Asset Management (AM). Hence, they may be unable to develop their operational information requirements to request the right data from the design and construction phases. This paper investigates the operational information requirements of three asset owners through a comparative study. A qualitative multi-case study approach was used to collect and analyse the operational information requirements of three asset owners. A qualitative content analysis was also utilised to identify key asset information requirements and categories. The study revealed that operational information requirements are strongly related to business needs and that it is not possible to develop a rigid list of requirements for asset owners, but rather some templates to help them define their data requirements. Of a total of 172 analysed information requirements, only 7 requirements were common in all cases and 16 were common in 2 cases, which represents 4% and 9% of the total. The research addressed a significant research gap regarding the development of operational information requirements for asset owners. Moreover, the paper provides templates to help guide asset owners when defining their data requirements for asset operations in order to derive BIM business value

Data Infrastructures for Asset Management Viewed as Complex Adaptive Systems

Data infrastructures represent information about physical reality. As reality changes, data infrastructures might also be subject to change. Researchers have increasingly approached physical infrastructures as being complex adaptive systems (CAS). Although physical infrastructures are often approached as CAS, the underlying data infrastructures hardly are. Studying data infrastructures as CAS has significant implications for our understanding of them. A CAS lens will help us to identify and better understand their key elements and coordination mechanisms for their functioning and dealing with change. Accepting data infrastructures as CASs also means we need to understand the consequences for their development. On the basis of state of the art literature, and an explorative case study of Rijkswaterstaat in the Netherlands, an overview of known data infrastructural elements and the coordination mechanisms connecting them will be presented. The results show that successful development of data infrastructures requires consideration of a wide variety of elements that can be coordinated using various coordination mechanisms. We conclude that a more complete picture of what data infrastructures are and how they can be coordinated is needed.Engineering, Systems and ServicesTechnology, Policy and Managemen

Revealing the project and asset management divide:Why infrastructure agencies struggle with IT transformation

Amid aging infrastructures, rapid urbanization, and the impacts of climate change, infrastructure agencies are under pressure to modernize their asset information management to enhance the future provision of infrastructure services. However, transforming the current information technology (IT) landscape presents significant challenges. Drawing from three comprehensive, practice-oriented case studies, this PhD dissertation illuminates what these challenges are and why they arise. It reveals the divide between organizing work in infrastructure projects, on the one hand, and executing asset management, on the other hand. Ultimately, findings from this dissertation can guide infrastructure agencies in designing strategies that fully consider the complexities and magnitude of transforming from project-based organizations to data-driven asset managers