questionnaire based evaluation of patients´ attitudes across scenarios

Due to demographic changes and increasing user expectations, the European healthcare systems are not able to serve the population’s future needs, so innovative technology-based solutions must be taken into consideration. However, the efficacy of every technical solution depends on the end-user; therefore, it is key to understand the patients’ digital preferences. For this reason, the objective of this study is to investigate the mindset determining technology acceptance. Distinctive contextual factors reflected in a range of health scenarios as well as a variety of patient characteristics were included in the analysis. The impact of perceived usefulness and incentives in form of information and financial rewards were tested

Technology acceptance in the healthcare sector "questionnaire based evaluation of patients´ attitudes across scenarios"

Due to demographic changes and increasing user expectations, the European healthcare systems are not able to serve the population’s future needs, so innovative technology-based solutions must be taken into consideration. However, the efficacy of every technical solution depends on the end-user; therefore, it is key to understand the patients’ digital preferences. For this reason, the objective of this study is to investigate the mindset determining technology acceptance. Distinctive contextual factors reflected in a range of health scenarios as well as a variety of patient characteristics were included in the analysis. The impact of perceived usefulness and incentives in form of information and financial rewards were tested

Formal Identification of Right-Grained Services for Service-Oriented Modeling

Abstract. Identifying the right-grained services is important to lead the successful service orientation because it has a direct impact on two major goals: the composability of loosely-coupled services, and the reusability of individual services in different contexts. Although the concept of service orientation has been intensively debated in recent years, a unified methodic approach for identifying services has not yet been reached. In this paper, we suggest a formal approach to identify services at the right level of granularity from the business process model. Our approach uses the concept of graph clustering and provides a systematical approach by defining the cost metric as a measure of the interaction costs. To effectively extract service information from the business model, we take activities as the smallest units in service identification and cluster activities with high interaction cost into a task through hierarchical clustering algorithm, so as to reduce the coupling of remote tasks and to increase local task cohesion