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.
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The workshop aims to understand how a living lab network structures contribute to system innovation. Living labs as system innovation initiatives can substantially alter established network structures. Moreover, structures can undergo alterations through subtle interventions, with impact on the overall outcomes of living labs. To understand how such change occurs, we develop a multilevel network perspective to study collaborations toward system innovation. We take this perspective to help understand living lab dynamics, drawing on innovative examples and taking into consideration the multilayered structures that the collaboration comprises.
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Abstract: The typical structure of the healthcare sector involves (specialist) intertwined practices co-occurring in formal or informal networks. These practices must answer to the concerns and needs of all related stakeholders. Multimorbidity and the need to share knowledge for scientific development are among the driving factors for collaboration in healthcare. To establish and keep up a permanent collaborative link, it takes effort and understanding of the network characteristics that must be governed. It is not hard to find practices of Network Governance (NG) in a variety of industries. Still, there is a lack of insight in this subject, including knowledge on how to establish and maintain an effective healthcare network. Consequently, this study's research question is: How is network governance organized in the healthcare sector? A systematic literature study was performed to select 80 NG articles. Based on these publications the characteristics of NG are made explicit. The findings demonstrate that combinations of governance style (relational versus contractual governance) and governance structure (lead versus shared governance) lead to different network dynamics. Furthermore, the results show that in order to comprehend how networks in the healthcare sector emerge and can be regulated, it is vital to understand the current network type. Additionally, it informs us of the governing factors. Zie https://www.hbo-kennisbank.nl/details/sharekit_han:oai:surfsharekit.nl:e4f8fa3a-4af8-42ef-b2dd-c86d77b4cec6
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A major challenge for disaster scholars and policymakers is to understand the power dimension in response networks, particularly relating to collaboration and coordination. We propose a conceptual framework to study interests and negotiations in and between various civic and professional, response networks drawing on the concepts of “programming” and “switching” proposed by Manuel Castells in his work on the network society. Programming in disaster response refers to the ability to constitute response networks and to program/reprogram them in terms of the goals assigned to the network. Switching is the ability to connect different net-works by sharing common goals and combining resources. We employ these concepts to understand how the US Federal Emergency Management Agency organized its response in the aftermath of Hurricanes Katrina and Sandy. Our conceptual framework can be used both by disaster scholars and policymakers to understand how networked power is constructed and utilized.
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From the article: Abstract: An overview of neural network architectures is presented. Some of these architectures have been created in recent years, whereas others originate from many decades ago. Apart from providing a practical tool for comparing deep learning models, the Neural Network Zoo also uncovers a taxonomy of network architectures, their chronology, and traces back lineages and inspirations for these neural information processing systems.
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Symbiotic Urban Agriculture Networks (SUANs) are a specific class of symbiotic networks that intend to close material and energy loops from cities and urban agriculture. Private and public stakeholders in SUANs face difficulties in the implementation of technological and organisational design interventions due to the complex nature of the agricultural and urban environment. Current research on the dynamics of symbiotic networks, especially Industrial Symbiosis (IS), is based on historical data from practice, and provides only partly for an understanding of symbiotic networks as a sociotechnical complex adaptive system. By adding theory and methodology from Design Science, participatory methods, and by using agent-based modelling as a tool, prescriptive knowledge is developed in the form of grounded and tested design rules for SUANs. In this paper, we propose a conceptual Design Science method with the aim to develop an empirically validated participatory agent-based modelling strategy that guides sociotechnical design interventions in SUANs. In addition, we present a research agenda for further strategy, design intervention, and model development through case studies regarding SUANs. The research agenda complements the existing analytical work by adding a necessary Design Science approach, which contributes to bridging the gap between IS dynamics theory and practical complex design issues.
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Background: Due to multimorbidity and geriatric problems, older people often require both psychosocial and medical care. Collaboration between medical and social professionals is a prerequisite to deliver high-quality care for community-living older people. Effective, safe, and person-centered care relies on skilled interprofessional collaboration and practice. Little is known about interprofessional education to increase interprofessional collaboration in practice (IPCP) in the context of community care for older people. This study examines the feasibility of the implementation of an IPCP program in three community districts and determines its potential to increase interprofessional collaboration between primary healthcare professionals caring for older people. Method: A feasibility study was conducted to determine the acceptability and feasibility of data collection and analysis regarding interprofessional collaboration in network development. A questionnaire was used to measure the learning experience and the acquisition of knowledge and skills regarding the program. Network development was assessed by distributing a social network survey among professionals attending the program as well as professionals not attending the program at baseline and 5.5 months after. Network development was determined by calculating the number, reciprocity, value, and diversity of contacts between professionals using social network analysis. Results: The IPCP program was found to be instructive and the knowledge and skills gained were applicable in practice. Social network analysis was feasible to conduct and revealed a spill-over effect regarding network development. Program participants, as well as non-program participants, had larger, more reciprocal, and more diverse interprofessional networks than they did before the program. Conclusions: This study showed the feasibility of implementing an IPCP program in terms of acceptability, feasibility of data collection, and social network analysis to measure network development, and indicated potential to increase interprofessional collaboration between primary healthcare professionals. Both program participants and non-program participants developed a larger, more collaborative, and diverse interprofessional network.
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Professional and academic education increasingly use realistic, rich, safe and interactive tools such as serious gaming. In our case we have used a serious game to teach students how socio-economic and technological opportunities and challenges could shape sustainable businesses in a circular economy. In this paper, we specifically show how local symbiotic networks in a city can be created through a serious game called ReOrganise. Symbiotic networks consist of a heterogeneous set of socio-economic and technological elements. Both types of elements bring forth and undergo multiple complex and dynamic interactions. These involve social interactions among actors and physical exchanges regarding materials and energy products. Economic motivations for actors engaging in symbiosis can be selling waste as by-product or avoiding waste disposal costs. In addition, symbiotic networks often create broader environmental and social benefits, such as resource recycling, or job creation. Every specific case, however, leads to subtle differences in behaviour and outcomes. It is therefore difficult to teach students about the intricacies of network emergence in a strictly theoretical fashion. Serious gaming can be a powerful method to comprehend such intricate dynamics of forming and operating symbiotic networks. Re-Organise, a serious game that we have developed for this purpose, is based on practice-oriented action research, and developed with symbiotic network participants. By adding a case description, Re-Organise can now be used for educational purposes. Re-Organise players represent the actors in an urban agriculture area, such as farmers, restaurants, gardeners, allotment garden communities, etc. The goal of the players is to find as much local use for their waste as possible, while maximizing the fulfilment of their own needs and motivations. We have played Re-Organise multiple times in different education activities at Amsterdam University of Applied Sciences and at the Delft University of Technology. The learning goals of the game play were comprehension of specific technological solutions and boundary conditions, comprehension of different perspectives and goals of the various actors, and application of the aforementioned sociotechnical insights to develop network concepts. In order to examine whether the gameplay would indeed meet our learning goals, we have set up a pretest-posttest experiment. In the experiment, a group of students that played Re-Organise, and a control group that did not play the game, but only learned about theoretical notions of symbiosis, were exposed to questions regarding the learning goals. We found that, by playing the game, the student’s comprehension about the relevant technologies had increased. They learned hands-on about different motivations of stakeholders to engage in symbiosis. In addition, students applied technological knowledge, and behavioural and motivational aspects to co-create new local supply networks. The experience accelerated the learning process, and gave more intricate knowledge and insight into shaping and sustaining symbiotic networks. This paper provides evidence about the positive effect of interactive learning through serious gaming on learning goals in sustainable education. Re-Organise provides a safe and rich learning experience for students, and enables students, and practitioners alike, to display creativity around the shaping of circular networks.
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Background: Adverse outcome pathway (AOP) networks are versatile tools in toxicology and risk assessment that capture and visualize mechanisms driving toxicity originating from various data sources. They share a common structure consisting of a set of molecular initiating events and key events, connected by key event relationships, leading to the actual adverse outcome. AOP networks are to be considered living documents that should be frequently updated by feeding in new data. Such iterative optimization exercises are typically done manually, which not only is a time-consuming effort, but also bears the risk of overlooking critical data. The present study introduces a novel approach for AOP network optimization of a previously published AOP network on chemical-induced cholestasis using artificial intelligence to facilitate automated data collection followed by subsequent quantitative confidence assessment of molecular initiating events, key events, and key event relationships. Methods: Artificial intelligence-assisted data collection was performed by means of the free web platform Sysrev. Confidence levels of the tailored Bradford-Hill criteria were quantified for the purpose of weight-of-evidence assessment of the optimized AOP network. Scores were calculated for biological plausibility, empirical evidence, and essentiality, and were integrated into a total key event relationship confidence value. The optimized AOP network was visualized using Cytoscape with the node size representing the incidence of the key event and the edge size indicating the total confidence in the key event relationship. Results: This resulted in the identification of 38 and 135 unique key events and key event relationships, respectively. Transporter changes was the key event with the highest incidence, and formed the most confident key event relationship with the adverse outcome, cholestasis. Other important key events present in the AOP network include: nuclear receptor changes, intracellular bile acid accumulation, bile acid synthesis changes, oxidative stress, inflammation and apoptosis. Conclusions: This process led to the creation of an extensively informative AOP network focused on chemical-induced cholestasis. This optimized AOP network may serve as a mechanistic compass for the development of a battery of in vitro assays to reliably predict chemical-induced cholestatic injury.
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This paper analyses co-creation in urban living labs through a multi-level network perspective on system innovation. We draw on the case House of Skills, a large, multi-stakeholder living lab aimed at developing a ‘skills-based’ approach towards labour market innovation within the Amsterdam Metropolitan Region. Ouranalysis helps understand stakeholder dynamics towards system innovation, drawing on an innovative living lab example and taking into consideration the multi-layered structures that comprise the collaboration. Our conceptual framework provides an important theoretical contribution to innovation studies and offers a practical repertoire that can help practitioners improve co-creation of shared value in living labs, towards orchestrating flexible structures that strengthen the impact of their initiatives.
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