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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Through a correspondence between two scholars, this paper explores and critiques various ways in which scholars working in ethnography and cultural analysis frame and construct their methodology and object of study. Through the close reading of theoretical accounts of methodology in ethnography and cultural analysis, we examine how these accounts construct the relationship between the scholar and her object of study.We read these scholarly practices as protocols, referring to the ways in which accounts of methodology may be understood as rules/guidelines by which scholars in these fields conduct research. Protocol etymologically refers to protos (first) and kolla (glue). Through the figure of the protocol, we delineate how scholars in ethnography and cultural analysis themselves become implicated in giving accounts of their research methodologies. Somatechnics presents a thoroughly multi-disciplinary scholarship on the body, providing a space for research that critically engages with the ethico-political implications of a wide range of practices and techniques. The term ‘somatechnics’ indicates an approach to corporeality which considers it as always already bound up with a variety of technologies, techniques and technics, thus enabling an examination of the lived experiences engendered within a given context, and the effects that technologies, technés and techniques have on embodiment, subjectivity and sociality.
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Objectives Most complex healthcare interventions target a network of healthcare professionals. Social network analysis (SNA) is a powerful technique to study how social relationships within a network are established and evolve. We identified in which phases of complex healthcare intervention research SNA is used and the value of SNA for developing and evaluating complex healthcare interventions. Methods A scoping review was conducted using the Arksey and O’Malley methodological framework. We included complex healthcare intervention studies using SNA to identify the study characteristics,level of complexity of the healthcare interventions, reported strengths and limitations, and reported implications of SNA. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews 2018 was used to guide the reporting. Results Among 2466 identified studies, 40 studies were selected for analysis. At first, the results showed that SNA seems underused in evaluating complex intervention research. Second, SNA was not used in the development phase of the included studies. Third, the reported implications in the evaluation and implementation phase reflect the value of SNA in addressing the implementation and population complexity. Fourth, pathway complexity and contextual complexity of the included interventions were unclear or unable to access. Fifth, the use of a mixed methods approach was reported as a strength, as the combination and integration of a quantitative and qualitative method clearly establishes the results. Conclusion SNA is a widely applicable method that can be used in different phases of complex intervention research. SNA can be of value to disentangle and address the level of complexity of complex healthcare interventions. Furthermore, the routine use of SNA within a mixed method approach could yield actionable insights that would be useful in the transactional context of complex interventions.
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Abstract Review Article: Introduction: Registered nurses and students of the Bachelor of Nursing are improving the quality of healthcare by working together in a Learning and Innovation Network (LIN). A LIN is a powerful learning environment, where employees and students work together towards a common goal. Methods: In the Netherlands, Amsterdam UMC, location VUmc and Inholland University of Applied Sciences have set up a LIN on the internal medicine traumatology, oncology, cardiology and urology departments. On the LIN departments, the number of students has increased significantly. Because the students are supernumerary, space and time are created to optimize the learning process of the RNs without compromising the care to be provided. Within the LIN, students learn from the practical experience of RNs, which gives them tools to apply knowledge practically. On the other hand, students can contribute to the adaptation of long established practices, based on recently acquired knowledge. A bridge is built between acting according to recent scientific insights and experiences from practice. It is also important to take the patient’s wishes into account. This guarantees nursing action based on evidence based practice and best practice. Several projects aimed at increasing the quality of care have already been carried out within the LIN such as projects focused on removing a catheter and bandaging. Conclusion: The LIN is taking more and more shape within the VUmc. There is a broad support base between educational and healthcare institutions, both on management and executive level. In order to make the LIN activities even more attuned to the authentic development needs of the department, interprofessional learning and working should be encouraged by also enthusing other care disciplines and researchers to participate in the LIN. An EBP working group consisting of permanent team members can contribute to the safeguarding of the outcomes of the LIN projects.
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This review offers a detailed examination of the current landscape of radio frequency (RF) electromagnetic field (EMF) assessment tools, ranging from spectrum analyzers and broadband field meters to area monitors and custom-built devices. The discussion encompasses both standardized and non-standardized measurement protocols, shedding light on the various methods employed in this domain. Furthermore, the review highlights the prevalent use of mobile apps for characterizing 5G NR radio network data. A growing need for low-cost measurement devices is observed, commonly referred to as “sensors” or “sensor nodes”, that are capable of enduring diverse environmental conditions. These sensors play a crucial role in both microenvironmental surveys and individual exposures, enabling stationary, mobile, and personal exposure assessments based on body-worn sensors, across wider geographical areas. This review revealed a notable need for cost-effective and long-lasting sensors, whether for individual exposure assessments, mobile (vehicle-integrated) measurements, or incorporation into distributed sensor networks. However, there is a lack of comprehensive information on existing custom-developed RF-EMF measurement tools, especially in terms of measuring uncertainty. Additionally, there is a need for real-time, fast-sampling solutions to understand the highly irregular temporal variations EMF distribution in next-generation networks. Given the diversity of tools and methods, a comprehensive comparison is crucial to determine the necessary statistical tools for aggregating the available measurement data.
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The purpose of the research we undertook for this Conference Paper was to investigate whether marketing campaigns for specific types of drinks could be directed towards age cohorts rather than towards intercultural differences between countries. We developed consumer profiles based on drinking motives and drinking behavior by age cohorts. We hypothesized that differences between countries in the youngest age groups are smaller than in the older age groups, where country specific tradition and culture still plays a more prominent role. We, therefore tested, from the data obtained by the COnsumer BEhaviouR Erasmus Network (COBEREN), the hypothesis that the extent to which the age specific profiles differ between countries increases with age. The results confirm our hypothesis that the extent to which drinking motives differ between countries increases with age. Our results suggest that marketing campaigns which are directed towards drinking motives, could best be tailored by age cohort, in particular when it concerns age group 18-37 and more particular for beer, spirits and especially premix drinks. Marketing campaigns for non-alcoholic beverages should be made specific for the British countries and the Western countries, but even more effectively be made specific for the age cohort 18-37.
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This paper reveals how the automatising of protocols ignited a public conflict between Dutch banks and their Small and Medium-sized Enterprise (SME) clients in the years after the Global Financial Crisis. The bank’s “infirmary departments” for Financial Restructuring and Recovery (FR&R) were accused of (mal)treating SMEs. The conflict resulted in no formal regulatory or legal change despite public support. Instead, the banks created self-regulation to improve communication with SMEs, leading to shifts in governing FR&R for SMEs. This way, the banks mitigated significant negative symptoms of automation and solved the conflict with the SMEs while keeping FR&R and ongoing automation intact. The research uses an interdisciplinary analytical framework to understand national financial conflicts in a digitalised (business) world. It contributes to the theory of institutionalising values in discursive contests between action fields. The paper highlights the material and causes of normative conflicts of interest among critical actors in established public-private networks through discourse analysis and process tracing.
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Smart charging protocols for electric vehicles can help avoid overload and instability in the electrical distribution network and can increase the proportion of locally generated solar energy used for charging. Our results show that the impact of smart charging depends heavily on the technical charging characteristics of the target vehicle.
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In case of a major cyber incident, organizations usually rely on external providers of Cyber Incident Response (CIR) services. CIR consultants operate in a dynamic and constantly changing environment in which they must actively engage in information management and problem solving while adapting to complex circumstances. In this challenging environment CIR consultants need to make critical decisions about what to advise clients that are impacted by a major cyber incident. Despite its relevance, CIR decision making is an understudied topic. The objective of this preliminary investigation is therefore to understand what decision-making strategies experienced CIR consultants use during challenging incidents and to offer suggestions for training and decision-aiding. A general understanding of operational decision making under pressure, uncertainty, and high stakes was established by reviewing the body of knowledge known as Naturalistic Decision Making (NDM). The general conclusion of NDM research is that experts usually make adequate decisions based on (fast) recognition of the situation and applying the most obvious (default) response pattern that has worked in similar situations in the past. In exceptional situations, however, this way of recognition-primed decision-making results in suboptimal decisions as experts are likely to miss conflicting cues once the situation is quickly recognized under pressure. Understanding the default response pattern and the rare occasions in which this response pattern could be ineffective is therefore key for improving and aiding cyber incident response decision making. Therefore, we interviewed six experienced CIR consultants and used the critical decision method (CDM) to learn how they made decisions under challenging conditions. The main conclusion is that the default response pattern for CIR consultants during cyber breaches is to reduce uncertainty as much as possible by gathering and investigating data and thus delay decision making about eradication until the investigation is completed. According to the respondents, this strategy usually works well and provides the most assurance that the threat actor can be completely removed from the network. However, the majority of respondents could recall at least one case in which this strategy (in hindsight) resulted in unnecessary theft of data or damage. Interestingly, this finding is strikingly different from other operational decision-making domains such as the military, police and fire service in which there is a general tendency to act rapidly instead of searching for more information. The main advice is that training and decision aiding of (novice) cyber incident responders should be aimed at the following: (a) make cyber incident responders aware of how recognition-primed decision making works; (b) discuss the default response strategy that typically works well in several scenarios; (c) explain the exception and how the exception can be recognized; (d) provide alternative response strategies that work better in exceptional situations.
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