A short paper on the whats and the hows of learning technology standardization
Data is widely recognized as a potent catalyst for advancing healthcare effectiveness, increasing worker satisfaction, and mitigating healthcare costs. The ongoing digital transformation within the healthcare sector promises to usher in a new era of flexible patient care, seamless inter-provider communication, and data-informed healthcare practices through the application of data science. However, more often than not data lacks interoperability across different healthcare institutions and are not readily available for analysis. This inability to share data leads to a higher administrative burden for healthcare providers and introduces risks when data is missing or when delays occur. Moreover, medical researchers face similar challenges in accessing medical data due to thedifficulty of extracting data from applications, a lack of standardization, and the required data transformations before it can be used for analysis. To address these complexities, a paradigm shift towards a data-centric application landscape is essential, where data serves as the bedrock of the healthcare infrastructure and is application agnostic. In short, a modern way to think about data in general is to go from an application driven landscape to a data driven landscape, which will allow for better interoperability and innovative healthcare solutions.In the current project the research group Digital Transformation at Hanze University of Applied Sciences works together with industry partners to build an openEHR implementation for a Groningen-based mental healthcare provider.
This paper reports about preparatory work for future standardization that is carried out through an EU coordination and support action titled IM-SAFE. It focuses on applied digital technologies for monitoring and safety, including predictive maintenance of bridges and tunnels. Amidst the improved affordability of digitalization technologies and techniques, the biggest challenge in monitoring and maintenance of bridges and tunnels is no longer about collecting data as much as possible, but about obtaining and exploiting meaningful data throughout the lifecycle of the built assets. An effective and efficient data-driven approach is important to al-low both human experts and computers to make accurate diagnostics, predictions, and decisions. Further standardization is seen as an important part to reach that goal. The work in IM-SAFE related to ICT standardization focuses on the following topics: (1) the general requirements and preconditions for high quality and cost-effective acquisition, transmission, storage and processing of monitoring datasets to ensure the data is fully accessible and machine-interpretable; (2) the relations between the future standards in structural engineering with the open ICT standards for interoperability, especially on Internet of Things (IoT), Building Information Model (BIM), Geographical Information System (GIS), and Semantic Linked Data (LD); (3) a common design of IT platforms to manage monitoring and asset management data of transport infrastructures; (4) the ways to facilitate data analytics technologies, including AI, to be applied for monitoring and asset management of transport infrastructures, and to assess the added value of data-driven approach next to physics-based modelling. With regard to these topics, this paper reports the outcomes from the expert and stakeholder consultations that recently took place within the IM-SAFE pan-European Community of Practice.
Colours are an essential component of human lives since they can influence the final appearance of many products. A large variety of choices can be affected by the colours which are presented to us, for example in the food industry, product design, textiles etc. (Rao et al. 2017). Synthetic colours are dominating nowadays landscape, due to their ease of production, low manufacturing costs and resistance (UV, temperature) in use. However, many of these are also considered hazardous to both human and environmental wellbeing. In the effort of achieving a more sustainable society and limit environmental footprint, natural pigments are arising more and more interest (Velmurugan et al, 2009). As a consequence, the demand of natural pigments is expected to undergo a sharp rise in the future market (Venil et al. 2013). Further research is needed in order to render natural colours both more economically viable and better employable in industry (i.e. process standardization, pigments stability). Biobased pigments can derive from a variety of sources, such as plants, bacteria, algae and fungi (Venkatachalam et al. 2018). The present project is a feasibility study on producing novel biobased pigments with fungi. In order to understand the most optimal production requirements, the biological conditions and novel extraction techniques will be considered. The initial characterisation of the produced pigments will be carried out both regarding the chemical composition and the properties, such as UV- and thermal stability. The SME companies, BioscienZ and Phytonext and the Avans Centre of Expertise BioBased Economy (CoEBBE) will combine their expertise and collaborate with a goal to make a step change in production of biobased colourants.
The program is structured in five tasks, of which three are technical by nature and two are on integration and enabling aspects. The technical tasks are infrastructure, offshore and large-scale storage of hydrogen. The enabling task is safety, standardization and regulation, which is a key boundary condition for the successful development of a hydrogen infrastructure. As overarching task the aspect of upscaling and system integration is analysed. Both the enabling and overarching tasks are strongly linked to the technical tasks and require active interaction between those tasks to be successful. Our consortium enables productive interactions by facilitating knowledge sharing, joint research projects, technology transfer, policy advocacy, public engagement, and standardization efforts. These interactions not only enhance the research and development outcomes within the consortium but also contribute to the broader societal and economic benefits of a hydrogen-based energy transition.
