Title: Ontology driven meta-modelling of clinical documents

Authors: Shreya Banerjee; Anirban Sarkar

Addresses: Department of Computer Science and Engineering, National Institute of Technology, Durgapur, West Bengal, India ' Department of Computer Science and Engineering, National Institute of Technology, Durgapur, West Bengal, India

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.

Keywords: clinical document; ontology driven; semantic interoperability; uniform interpretation; meta-modelling; middle level ontology.

DOI: 10.1504/IJHTM.2017.10009750

International Journal of Healthcare Technology and Management, 2017 Vol.16 No.3/4, pp.271 - 302

Received: 17 Oct 2016
Accepted: 20 Aug 2017

Published online: 21 Dec 2017 *

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