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The "Sleep-Well" project explored the problem and solution spaces relevant to design of sleepwellbeing products, services and systems. It was set as an 8-week concept design project within the scope of a 15-week graduate course. In the first half the course, students were given formal input on design for health and wellbeing and in the second half of the course the project ran in collaboration with an industrial partner specialized in the healthcare domain. Students worked in pairs to generate final concept design proposals, ranging from innovative solutions to problems/opportunities that they identified; new approaches to existing products/systems; or unforeseen problems to solve. The 'Sleep-Well' project also had the pedagogical goals of successfully directing students: i) to learn how digital technologies can be best integrated to track and respond to people's health data and environmental conditions; and ii) to intrinsically motivate users by relating three principal factors from selfdetermination theory (i.e., autonomy, competence, relatedness) to their design proposals. Student learning was demonstrated through the diversity in outcomes and successful integration of the abovementioned goals, as well as formal student feedback received at the end of the course.

Abstract-This paper proposes an infrastructure with a global workflow management algorithm in order to interconnect facilities and reporting units on a single access interface, decrease the access time of medical images and increase the efficiency of the reporting process. The inspection and radiologist attributes extracted by Grid Agent are modelled using a hierarchical ontology structure based on Digital Imaging and Communications in Medicine (DICOM) Conformance and DICOM Content Mapping Resource and World Health Organization (WHO) definitions. Attribute preferences rated by radiologists and technical experts or inferred by references are formed into reciprocal matrixes. Weights for entities are calculated utilizing Analytic Hierarchy Process (AHP). The assignment alternatives are processed by relation-based semantic matching (RBSM) and Integer Linear Programming (ILP). The results are evaluated based on turnaround time, workload and report quality and compared with the outcomes obtained by applying Round Robin, Shortest Queue and Random distribution policies.