Abstract Healthcare organizations operate within a network of governments, insurers, inspection services and other healthcare organizations to provide clients with the best possible care. The parties involved must collaborate and are accountable to each other for the care provided. This has led to a diversity of administrative processes that are supported by a multi-system landscape, resulting in administrative burdens among healthcare professionals. Management methods, such as Enterprise Architecture (EA), should help to develop and manage such landscapes, but they are systematic, while the network of healthcare parties is dynamic. The aim of this research is therefore to develop an EA framework that fits the dynamics of network organizations (such as long-term healthcare). This research proposal outlines the practical and scientific relevance of this research and the proposed method. The current status and next steps are also described.
Despite all improvement initiatives such as the national action plan [De-]Regulate Healthcare by the Dutch Ministry of Health, Welfare and Sport in 2018 to create more time for care within the Netherlands, the administrative burden for care workers is still increasing. Managers of healthcare institutes struggle with efficiently implementing government legislations in day-to-day operations. They indicate that the time spent on administrative tasks demanded by municipalities and national authorities is too much. In addition, they also indicate that there is a lack of consistency and uniformity when it comes to the way care workers handle administrative tasks. This way of working causes additional, and often ad hoc, work in the run-up to an audit. It seems that before laws and regulations are effectively implemented, new laws or regulations again demand attention. This looks like a vicious circle, but research to confirm this is not found yet. Therefore, the following research question is formulated: "What is the impact of laws and regulations on the administrative burden with regard to the primary and supportive processes of Dutch long-term care?" An explanatory multiple case study was conducted to answer the research question. Three case studies were carried out during September 2019 to January 2020. Based on these studies, we have concluded that between 29% and 62% of the total perceived administrative burden by long-term care professionals can be related to legislation.
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This paper explores whether constitutional litigation contributes to sustaining the equity element of the right to health. Equity entails a fair distribution of the burden of healthcare financing across the different socio-economic groups of the population. A shift towards uncontrolled private healthcare provision and financing raises equity challenges by disproportionately benefitting those who are able to afford such services. The extent to which equity is enforced is an indicator of the strength of the right to health. However, do domestic constitutional courts second-guess, based on equity, policy decisions that impact on healthcare financing? Is it the task of constitutional courts to scrutinize such policy decisions? Under what conditions are courts more likely to do so? The paper addresses these questions by focusing on the case of Hungary, where the right to health has been present in the Fundamental Law adopted in 2010 and the Constitutions preceding it. While the Hungarian Constitutional Court has been traditionally cautious to review policy decisions pertaining to healthcare financing, the system has been struggling with equity issues and successive government coalitions have had limited success in tackling these. The paper discusses the role of constitutional litigation in addressing such equity concerns. In doing so, it contributes to the discussion on the role of domestic constitutional courts in the protection of social and economic rights.
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Developing a framework that integrates Advanced Language Models into the qualitative research process.Qualitative research, vital for understanding complex phenomena, is often limited by labour-intensive data collection, transcription, and analysis processes. This hinders scalability, accessibility, and efficiency in both academic and industry contexts. As a result, insights are often delayed or incomplete, impacting decision-making, policy development, and innovation. The lack of tools to enhance accuracy and reduce human error exacerbates these challenges, particularly for projects requiring large datasets or quick iterations. Addressing these inefficiencies through AI-driven solutions like AIDA can empower researchers, enhance outcomes, and make qualitative research more inclusive, impactful, and efficient.The AIDA project enhances qualitative research by integrating AI technologies to streamline transcription, coding, and analysis processes. This innovation enables researchers to analyse larger datasets with greater efficiency and accuracy, providing faster and more comprehensive insights. By reducing manual effort and human error, AIDA empowers organisations to make informed decisions and implement evidence-based policies more effectively. Its scalability supports diverse societal and industry applications, from healthcare to market research, fostering innovation and addressing complex challenges. Ultimately, AIDA contributes to improving research quality, accessibility, and societal relevance, driving advancements across multiple sectors.
Lymphedema is one of the most poorly understood, relatively underestimated and least researched complications of cancer, or its treatment. Lymphedema is a chronic condition that causes abnormal build up of fluid under the skin resulting in painful swelling, commonly in the arms and legs. Limpressive Compression Garments have designed and conceptualised an active and smart compression sleeve that integrates pioneering smart materials and sensor technology to be used to treat and evaluate lymphedema. The Limpressive garments can be used as a research tool while replacing existing compression sleeves and pneumatic compression apparatus. There is currently no product on the market that is integrating both the actuator and sensor technology to treat, let alone quantify lymphedema. It is thus imperative that the Limpressive Compression Garments team are allowed the opportunity through funding to investigate the feasibility of the technology and its integration into healthcare, the business structures and processes needed to enter and be successful in the marketplace and the value to both the consumer and to the organisations dedicated to developing a greater understanding of the disease. Limpressive will complete an extensive and detailed business plan and a complete product design by the end of the Take-off Phase. The business plan and complete product design will be complemented by a proof of function prototype.
The COVID19 pandemic highlighted the vulnerability in supply chain networks in the healthcare sector and the tremendous waste problem of disposable healthcare products, such as isolation gowns. Single-use disposable isolation gowns cause great ecological impact. Reusable gowns can potentially reduce climate impacts and improve the resilience of healthcare systems by ensuring a steady supply in times of high demand. However, scaling reusable, circular isolation gowns in healthcare organizations is not straightforward. It is impeded by economic barriers – such as servicing costs for each use – and logistic and hygiene barriers, as processes for transport, storage and safety need to be (re)designed. Healthcare professionals (e.g. purchasing managers) lack complete information about social, economic and ecological costs, the true cost of products, to make informed circular purchasing decisions. Additionally, the residual value of materials recovered from circular products is overlooked and should be factored into purchasing decisions. To facilitate the transition to circular procurement in healthcare, purchasing managers need more fine-grained, dynamic information on true costs. Our RAAK Publiek proposal (MODLI) addresses a problem that purchasing managers face – making purchasing decisions that factor in social, economic and ecological costs and future benefits from recovered materials. Building on an existing consortium that developed a reusable and recyclable isolation gown, we design and develop an open-source decision-support tool to inform circular procurement in healthcare organizations and simulate various purchasing options of non-circular and circular products, including products from circular cascades. Circular procurement is considered a key driver in the transition to a circular economy as it contributes to closing energy and material loops and minimizes negative impacts and waste throughout entire product lifecycles. MODLI aims to support circular procurement policies in healthcare organizations by providing dynamic information for circular procurement decision making.
