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Journal of Medical Systems
Published in: Journal of Medical Systems 12/2017

01-12-2017 | Systems-Level Quality Improvement

Combining Ontologies and Open Standards to Derive a Middle Layer Information Model for Interoperability of Personal and Electronic Health Records

Authors: Panagiotis Plastiras, Dympna M. O’Sullivan

Published in: Journal of Medical Systems | Issue 12/2017

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Abstract

The aim of our study was to enable better interoperability between Personal Health Record (PHR) and Electronic Health Record (EHR) systems and vice versa. A multi-layer architectural model that resides between a PHR and EHR system has been developed. The model consists of an ontology-driven information model and a set of transformation rules that work in conjunction to process data exported from a PHR or EHR system and prepare it accordingly for the receiving system. The model was evaluated by executing a set of case study scenarios containing data from both a PHR and an EHR system. This allowed various challenges to emerge and revealed gaps in current standards in use. The proposed information model offers a number of advantages. Altering only the information model can incorporate modifications to either a PHR or EHR system. The model uses classes and attributes to define how data is captured which allows greater flexibility in how data can be manipulated by receiving systems.
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Metadata
Title
Combining Ontologies and Open Standards to Derive a Middle Layer Information Model for Interoperability of Personal and Electronic Health Records
Authors
Panagiotis Plastiras
Dympna M. O’Sullivan
Publication date
01-12-2017
Publisher
Springer US
Published in
Journal of Medical Systems / Issue 12/2017
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-017-0838-9

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