Provenance refers to the details about the entities, activities, and individuals involved in the creation of a piece of data or an object, which can help assess its quality, reliability or trustworthiness. This paper describes an ontology that can be used to represent provenance and contextual information about Patient Generated Health Data (PGHD) shared with an Electronic Health Record (EHR). We created the ontology leveraging existing standard ontologies. Further, we chose and modeled important concepts based on literature that captures contextual information relevant to clinical decision making. We illustrated our ontology using a use case from literature and evaluated the ontology using competence questions. In the future, it will be useful to employ this ontology in translating the PGHD collected for clinical decision making.

In the aftermath of COVID-19, remote working has become the norm, and graduates now need an even wider range of skills, which traditional classrooms and internships do not always provide. Working in multiple time zones, within global multi-cultural teams, and only ever meeting colleagues through online technology are just some of the challenges, which require a new type of global graduate. Transversal skills including leadership, collaboration, innovation, digital, green, organization and communication skills are critical. The disruption from COVID-19 also presents unprecedented opportunities to develop more inclusive approaches to internships and international experiences, to level the playing field for students with special needs, from underrepresented groups or with caring commitments. In this position paper, we present a new Global Innovation internship model that has the aim of allowing students to complete technology internships and projects by working together virtually on real world challenges, guided by experienced industry and academic mentors. The model is being developed as part of an Erasmus+ funded project, and the partnership includes seven Higher Education Institutions from six different countries around the world. This position paper describes the design and development of a pilot programme of the Global Innovations internship model.

Operationalizing care delivery through an interdisciplinary healthcare team (IHT) requires knowledge about the overall structure of an IHT and the behavioral rules that "control" the dynamics of this structure interpreted as team and clinical leadership maintenance and task allocation. While progress has been made in understanding IHT structure, there is less work on the behavioral aspects of an IHT associated with its dynamics. In this paper we fill this void by extending our Team and Workflow Management Framework (TWMF) with a set of rules to operationalize IHT behavior in terms of clinical leadership, coordination of workflow execution over multiple days as part of continuity of care, and management of tasks, including urgent ones that prevent planned workflow execution. We briefly describe a proof-of-concept implementation of extended TWMF in the form of a computer system for supporting cooperative execution of clinical workflows by an IHT. The system is built on top of an existing business workflow execution engine and employs behavioral rules to control the IHT behavior. We also illustrate the operations of TWMF in a case study where an IHT is executing a workflow for the management of post-operative inpatient recovery after radical prostatectomy.

Ongoing advances in technology are increasing the scope for enhancing and supporting older adults' daily living. The digital divide between older and younger adults raises concerns, however, about the suitability of technological solutions for older adults, especially for those with impairments. Taking older adults with Age-Related Macular Degeneration (AMD) as a case study, we used user-centred and participatory design approaches to develop an assistive mobile app for self-monitoring their intake of food [12,13]. In this paper we report on findings of a longitudinal field evaluation of our app that was conducted to investigate how it was received and adopted by older adults with AMD and its impact on their lives. Demonstrating the benefit of applying inclusive design methods for technology for older adults, our findings reveal how the use of the app raises participants' awareness and facilitates self-monitoring of diet, encourages positive (diet) behaviour change, and encourages learning.

Geo-spatial image databases are employed in a wide range of applications, such as intelligence operations, recreational and professional mapping, urban and industrial planning, and tourism systems. Effective retrieval of relevant images from such digital libraries can employ knowledge about what an image contains, why image contents are important in a particular domain, and how specific images have been used for particular domain tasks. Approaches to annotation for multimedia information retrieval have typically focused on the first two types of knowledge; however, managing the knowledge implicit in using geo-spatial imagery to address particular tasks can be crucial for capturing and making the most effective use of organisational knowledge assets. We are developing case-based knowledge-management support for large geo-spatial image repositories that scaffolds task-based knowledge capture about a content-based sketch query mechanism. This paper describes our task-centric approach to image annotation and retrieval, and it presents our initial implementation of the approach.