With the increasing importance of data and artificial intelligence, organizations strive to become more data-driven. However, current data architectures are not necessarily designed to keep up with the scale and scope of data and analytics use cases. In fact, existing architectures often fail to deliver the promised value associated with them. Data mesh is a socio-technical, decentralized, distributed concept for enterprise data management. As the concept of data mesh is still novel, it lacks empirical insights from the field. Specifically, an understanding of the motivational factors for introducing data mesh, the associated challenges, implementation strategies, its business impact, and potential archetypes is missing. To address this gap, we conduct 15 semi-structured interviews with industry experts. Our results show, among other insights, that organizations have difficulties with the transition toward federated governance associated with the data mesh concept, the shift of responsibility for the development, provision, and maintenance of data products, and the comprehension of the overall concept. In our work, we derive multiple implementation strategies and suggest organizations introduce a cross-domain steering unit, observe the data product usage, create quick wins in the early phases, and favor small dedicated teams that prioritize data products. While we acknowledge that organizations need to apply implementation strategies according to their individual needs, we also deduct two archetypes that provide suggestions in more detail. Our findings synthesize insights from industry experts and provide researchers and professionals with preliminary guidelines for the successful adoption of data mesh.

Cost-effective and responsible use of cloud computing resources (CCR) is on the business agenda of many companies. Despite this strategic goal, two geopolitical strategy decisions mainly influence the continuous existence of overcapacity: Europe's General Data Protection Regulation and the US's Cloud Act. Given the circumstances, a typical data center produces approximately 30% overcapacity annually. This overcapacity has severe environmental and economic consequences. Our work addresses this overcapacity by proposing a multi-sided platform for CCR trading. We initiate our research by conducting a literature review to explore the existing body of knowledge which indicates a lack of recent and evaluated platform design knowledge for CCR trading. We address this research gap by deriving design requirements and design principles. We instantiate and evaluate the design knowledge in a respective platform framework. Thus, we contribute to research and practice by deriving and evaluating design knowledge and proposing a platform framework.

Stichwörter Entscheidungsunterstützung Finanzorganisation Kompetenzzentrum für Analytics Kostenprognose Umsatzprognose Die Nutzung von Advanced Analytics ermöglicht Controllern, der wachsenden Komplexität und Dynamik des Geschäftes zu begegnen. Der Beitrag zeigt das Potenzial für den typischen Fall kurzund mittelfristiger Umsatzund Kostenvorhersagen, illustriert die Umsetzung an zwei konkreten Anwendungsszenarien und diskutiert Entwicklungspfade hin zu einer Analytics-orientierten Organisation.

This paper discusses three crucial factors for the adoption of pervasive computing in healthcare: proof of medical benefit, user participation, and financial clarification. This system could also differentiate healthy from unhealthy people by measuring the participants step amplitude and velocity.

Research on services and their appropriate design is still scarce in healthcare and needs to be advanced. The contribution of this work is twofold: First, we derive appropriate metrics for measuring service quality from our interdisciplinary work on the stroke chain of survival. Second, we illustrate how measurements of quality of service should be performed by using IT to collect the required data. This paper provides service quality measures in the context of the stroke chain of survival and performs a proof of concept in a case study.

Due to its long and rich background in product engineering, continental Europe and Germany especially can emerge as a strong force in service engineering. In particular, because much of the methods toolkit currently applied in service design and engineering builds upon traditional engineering methods. SSME only will be successful in the future if both areas are closely intertwined in interdisciplinary institutions, teams, and projects. In this paper, we present the institutions, projects and educational structures in place at our institution, KIT in Karlsruhe, Germany, for services research.

The successful implementation of pervasive computing technologies in healthcare does not only depend on technical issues but also on acceptability and acceptance issues. In this paper we focus on factors that facilitate or inhibit user acceptance of pervasive computing in healthcare. We present selected findings of the research project dasiaPerCoMed - Pervasive Computing in Healthcarepsila. The project is based on two case studies in pre- and post-clinical healthcare. In the first study, the potential of pervasive computing technologies for the treatment of acute cardiovascular diseases is investigated, in the second case study, the potential for the treatment of multiple sclerosis (MS) is evaluated. A qualitative user acceptance analysis of the two case studies shows the following results: the main factor of user acceptance is the perceived medical usefulness. Furthermore, acceptance is strongly inhibited if data privacy or if subjective norms are violated. Usability only presents a decisive factor of acceptance if problems with usability reduce the perceived usefulness.

Die Nutzung von IT-basierter Informations- und Kommunikationstechnik in der vernetzten medizinischen Versorgung des Schlaganfalls durch den Rettungsdienst ist ein neuer Ansatz in der Schlaganfallversorgung. Im Rahmen der deutschen „Stroke-Angel-Initiative“, die Teil des Forschungsprojektes PerCoMed („pervasive computing in medical care“) ist, stand die Untersuchung der Auswirkung mobiler Computing-Systeme in der präklinischen Phase an der Schnittstelle zwischen Rettungsdienst und Krankenhaus im Vordergrund. Hierbei war das wesentliche Ziel, die sektorenübergreifende Prozesse in der Schlaganfallrettungskette zu verbessern.

Fragestellung: Die National Institute of Stroke Scale (NIHSS) ist eine klinisch anerkannte Skala zur Bestimmung der Ausprägung eines Schlaganfalls. Für die korrekte Messung mittels dieser Skala wird eine gewisse Zeit benötigt, so dass diese für die prähospitale Anwendung im Rettungsdienst weniger geeignet ist. Mit der 3-Item Stroke Scale (3I-SS) steht eine kurze Rating-Scale zur Verfügung, die schnell erlernt und angewendet werden kann. Im Rahmen des Stroke Angel Projektes wurden beide Skalen in der Klinik mehrfach erhoben, mit dem Ziel, die Vorhersagekraft der 3I-SS auf die NIHSS zu untersuchen.

Background. Telemedical networks that apply innovative mobile information technologies (IT) are an innovative approach to improve stroke care in community settings. Within the German Stroke Angel initiative and the research project PerCoMed (Pervasive Computing in Medical Care, funded by the Federal Ministry of Education and Research, http://www.percomed.de) the effects of such a solution were assessed by an interdisciplinary research approach. The main goal of the team of researchers and practitioners was to provide clear evidence of improvements in intersectional processes of the stroke chain survival, namely in the acute stroke processes between prehospital rescue services and hospital stroke units.Material and methods. Between October 2005 and October 2007 the paramedical staff of five rescue service transporters in a rural area of northern Bavaria was included in a network with the stroke unit of the Neurological Clinic Bad Neustach. Telemedical support by the Stroke Angel computing system -a software running on a personal digital assistant (PDA) to transmit patient data from the rescue team to the hospital during patient transporting time - was established. As procedural guidance, the Stroke Angel system suggests a predefined path through the necessary emergency procedures according to the structure of the mandatory protocol and the implemented Los Angeles Prehospital Stroke Screen (LAPSS).Results. In the empirical study the authors obtained a complete data set of 226 consecutively admitted patients for analysis in Bad Neustadt and LAPSS data of 217 patients from a second scenario in Dusseldorf. Medical, economic and technical analyses were applied. The technological robustness of the Stroke Angel system could be proven and information entered was transmitted fully and correctly. Concerning medical research questions, for both scenario locations LAPSS with a sensitivity of 68.3% and a specificity of 85.1% has to be deemed insufficient. Hence, alternative algorithms will have to be used in the next steps of evaluation. The system significantly influenced the clinical process of acute stroke management more than the preclinical ones (door-to-CT:32min. before and 16 min. at the end of the project). Lysis treatment rose from 6.12% (2005) to 11.17% (2007) of patients with acute stroke.Conclusions. From the set of perspectives taken, the study illustrates that mobile computing technologies offer new and innovative approaches to improve intersectional acute stroke care. It also teaches the participants that interdisciplinary research can significantly deepen the understanding of such technologies and projects, which can lead to better decision making concerning solution implementation, management and improvements. The approach will be brought into daily practice in Bad Neustadt/Saale within the next months.

Pervasive Computing is developing fast and is presenting new opportunities for medical care. Unfortunately, technology selection and adoption in the healthcare sector and by physicians is typically an intricate process. Exemplified by Multiple Sclerosis (MS) this paper describes the assessment of a dedicated PC technology with respect to medical usefulness in real life applicability. MS is a chronic disease that typically affects the patient’s mobility and quality of life. Tri-axial accelerometers can be used to gain more information about the particular state of the disability. This technology can provide medical staff with objective and more comprehensive information. We present the design of a real life experiment and how the evaluation is designed to analyse the technology’s developmental status, its acceptance, and its medical usefulness.

Einleitung: Derzeit erhalten nur 3–4% aller Schlaganfallpatienten in Deutschland die Lysetherapie, da das Zeitfenster noch viel zu oft überschritten wird. Bei einer verbesserten präklinischen Versorgung von Schlaganfallpatienten wäre bundesweit eine Lysequote von 10% akzeptabel. Die Rettungskette vom Ersthelfer bis zur Notaufnahme in der Klinik muss daher reibungslos ineinander greifen. Dem Rettungsdienst kommt bei der Versorgung von Schlaganfallpatienten eine zunehmende Bedeutung zu, da er durch rasches Erkennen der Symptomatik und durch Bahnung der weiteren Behandlung Zeitverluste vermeiden kann. Im Rahmen des Stroke-Angel-Projektes, eines PDA und Handy gestützten monophasischen Kommunikationssystems zwischen Rettungsdienst und Klinik werden quantitative und qualitative Einsatzdaten der prä- und intraklinischen Schlaganfallversorgung erhoben.

Beside the many technological issues related to Grid infrastructures organisational and regulation related aspects of Grids are becoming increasingly important. The term ‘grid economics’ summarises all research activities devoted to questions of the production, allocation and consumption of grid-based computer resources.