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In the homecare domain, workflows are in the mainstream for supporting the coordination and monitoring of care processes which involve managing a sequence of care workflow (careflow) activities, transmitting the information required for providing care and supporting the invocation of appropriate human and/or IT resources. However, the design of these careflows for later enactment by a Workflow Management System remains a complex task, heavily dependent on patients' profiles and accordingly requiring to be distinctly personalised. This paper proposes an ontology-driven design approach for careflows, to facilitate the construction of personalized careflows. Following an approach grounded in Model-Driven Engineering (MDE), our methodology is based on the matching of ontologies between conceptual models of homecare and a semantic representation of Business Process Modeling Notation (BPMN) which is associated with both Actor and Case Profile ontological models.

Recent advances in informatics and computing are increasingly becoming essential factors for realising major improvement in healthcare. The delivery of the right information about the right patient at the point of care is central to a well-integrated healthcare process. However, the high sensitivity of the clinical domain and the vast differences in health data and systems pose a great interoperability challenge for solutions that do not employ strong semantic principles as core to the interoperation process to sufficiently scale. This paper presents a model-based approach that utilises domain ontologies combined with extensible problem models, driven by rich domain terminology and knowledge services at the centre of the process to enable autonomous data governance and semantic interoperability. The paper addresses the resulting requirements and proposes a solution outlining the results from the prototype of the approach.

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