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A structured hospital discharge management process can lead to a smoother transition to aftercare. In practice, providing continuity of nursing care after a stationary hospital stay is accompanied by numerous challenges. The presented study aims to point out the use cases and requirements for an IT system supporting the diverse tasks of the participating actors. Within the scope of a multi-method research design, the authors conducted and analysed stakeholder interviews, a shadowing, a systematic literature search and statutes in order to gain the presented results. This publication presents 37 requirements, grouped to 14 use cases. A process model in BPMN visualises the discharge management process. Further, the authors derived implications for practice and research. These can be used for the development, classification and assessment of IT systems. Therefore, this publication provides a significant contribution to the development of socio-technical systems within the health care domain.
In this paper, we introduce a framework to identify domain specific use cases for smart glasses in the domain of logistics services. We further present and evaluate our framework through its application in a single case study in a wholesale warehouse. We contribute to theory and practice by presenting an approach to identify, define and describe application scenarios for the adoption of smart glasses in the logistics domain, and by enriching the current body of knowledge on digitalization, service support systems and wearables. Therefore, our research falls into line with the second topic. We directly address current challenges in logistics, one of Germany’s major economic sectors, regarding the implementation of new or advanced services with smart glasses. The presented case study is embedded in the digitalization project Glasshouse. The processes of two logistics services providers are the main research subjects in this project. In contrast to this, we focus on a third logistic service provider in this paper, to evaluate the transferability of our findings.
The development of augmented reality glasses is still ongoing and faces barriers in diffusion and concerns about their impact on users, organizations and society. The study aims to find sufficient solutions for this struggling digital innovation and to provide guidance for the implementation of augmented reality glasses in design-oriented projects. During a 3-year consortium research, acceptance and privacy have been identified as major phenomena that influence the adoption of augmented reality glasses in the logistics domain. To forge ahead digital innovation research, the focus of the presented research lies on the diffusion of this technology with design knowledge for the development of augmented reality glasses-based systems. Evidence and artifacts contribute to the still limited knowledge of system design based on augmented reality glasses from a domain-specific instantiation and an implementation framework.
Smart Glasses haben das Potenzial, die Einarbeitungsphase von Mitarbeitern durch eine kontextsensitive Informationsversorgung und Kommunikation direkt im Blickfeld des Nutzers zu erweitern und zu verbessern. Im Rahmen eines gestaltungsorientierten Ansatzes wird das Einsatzszenario mit Hilfe von Experteninterviews analysiert und durch fachbezogene Literatur strukturiert. Als Resultat liefert dieser Beitrag spezifische Anforderungen an Smart-Glasses-basierte Assistenzsysteme in der Einarbeitungsphase von Mitarbeitern am Beispiel der Logistik-Branche aus Sicht der Praxis. Zusätzlich werden eine entsprechende Konzeption mit anschließender Evaluation eines korrespondierenden Systems sowie die dafür spezifizierten Kollaborationsfunktionen vorgestellt. Die Meta-Anforderungen, die Evaluation des vorgeschlagenen Konzeptes und die identifizierten Kollaborationsfunktionen erweitern die Wissensbasis der Wirtschaftsinformatik hinsichtlich des wenig erforschten Gestaltungswissens für Smart-Glasses-basierte Applikationen. Der Einsatz von Smart Glasses in der Einarbeitung stellt einen nutzenstiftenden Anwendungsfall für diese aktuell noch wenig verbreitete Technologie, sowie eine neue Interaktionsebene und zugehörige Kollaborationsfunktionen in der Einarbeitungsphase von Mitarbeitern dar und ist somit von hoher Relevanz sowohl für die Praxis als auch Wissenschaft.
Niche-based species distribution models (SDMs) have become an essential tool in conservation and restoration planning. Given the current threats to freshwater biodiversity, it is of fundamental importance to address scale effects on the performance of niche-based SDMs of freshwater species’ distributions. The scale effects are addressed here in the context of hierarchical catchment ordering, considered as counterpart to coarsening grain-size by increasing grid-cell size. We combine fish occurrence data from the Danube River Basin, the hierarchical catchment ordering and multiple environmental factors representing topographic, climatic and anthropogenic effects to model fish occurrence probability across multiple scales. We focus on 1st to 5th order catchments. The spatial scale (hierarchical catchment order) only marginally influences the mean performance of SDMs, however the uncertainty of the estimates increases with scale. Key predictors and their relative importance are scale and species dependent. Our findings have useful implications for choosing proper species dependent spatial scales for river rehabilitation measures, and for conservation planning in areas where fine grain species data are unavailable.
Land cover change is a dynamic phenomenon driven by synergetic biophysical and socioeconomic effects. It involves massive transitions from natural to less natural habitats and thereby threatens ecosystems and the services they provide. To retain intact ecosystems and reduce land cover change to a minimum of natural transition processes, a dense network of protected areas has been established across Europe. However, even protected areas and in particular the zones around protected areas have been shown to undergo land cover changes. The aim of our study was to compare land cover changes in protected areas, non-protected areas, and 1 km buffer zones around protected areas and analyse their relationship to climatic and socioeconomic factors across Europe between 2000 and 2012 based on earth observation data. We investigated land cover flows describing major change processes: urbanisation, afforestation, deforestation, intensification of agriculture, extensification of agriculture, and formation of water bodies. Based on boosted regression trees, we modelled correlations between land cover flows and climatic and socioeconomic factors. The results show that land cover changes were most frequent in 1 km buffer zones around protected areas (3.0% of all buffer areas affected). Overall, land cover changes within protected areas were less frequent than outside, although they still amounted to 18,800 km2 (1.5% of all protected areas) from 2000 to 2012. In some parts of Europe, urbanisation and intensification of agriculture still accounted for up to 25% of land cover changes within protected areas. Modelling revealed meaningful relationships between land cover changes and a combination of influencing factors. Demographic factors (accessibility to cities and population density) were most important for coarse-scale patterns of land cover changes, whereas fine-scale patterns were most related to longitude (representing the general east/west economic gradient) and latitude (representing the north/south climatic gradient).