Ontology driven meta-modelling of clinical documents
by Shreya Banerjee; Anirban Sarkar
International Journal of Healthcare Technology and Management (IJHTM), Vol. 16, No. 3/4, 2017

Abstract: In recent days, distinct healthcare information systems use and exchange electronic clinical documents enormously. Further, modern technologies, such as connected home monitoring devices, incorporate contextual awareness into clinical documents. Besides this, today's healthcare domain is driven by emergence of new roles played by related stakeholders. Consequently, there is a need in healthcare information systems to achieve common semantic interpretation of clinical documents so that, 1) those can be exchanged among healthcare information systems meaningfully; 2) personalised document view in a specific context can be achieved effectively. To address these issues in this paper, an ontology driven meta-model for clinical documents is proposed. The proposed conceptualisation is implemented in an ontology editorial tool Protégé and illustrated using a case study based on e-prescription. Further, the specification is transformed towards JSON (Java Script Object Notation Schema) schema for demonstration of its practical utility.

Online publication date: Thu, 21-Dec-2017

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