Service and model-driven dynamic integration of health data

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.