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Authors: Juha Puustjärvi 1 and Leena Puustjärvi 2

Affiliations: 1 University of Helsinki, Finland ; 2 The Pharmacy of Kaivopuisto, Finland

ISBN: 978-989-758-010-9

Keyword(s): IHE XDS, SPARQL, Hl7 CDA, Electronic Health Record, Ontologies.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Cloud Computing ; e-Health ; Electronic Health Records and Standards ; Health Information Systems ; Platforms and Applications ; Software Systems in Medicine

Abstract: As a patient may live in many places and use many healthcare specialities, patient’s clinical documents are often stored in several systems and locations. In order to alleviate this problem, an industry initiative IHE XDS allows health care documents to be shared over a wide area network, between hospitals, primary care providers, and social services. Its main innovation is the logical and physically separation of the indexing information used to retrieve documents from the actual content. Technically the XDS document registry is a subset of the ebXML Registry standard, and documents are exchanged using SOAP and HTTP, while SQL is used for information retrieval. Although IHE XDS has proven to be useful and workable innovation, we have investigated whether the technologies behind the IHE XDS could be replaced by new technologies such as by OWL-based registries and SPARQL engines. It turned out that these technologies enable the introducing simpler policies in document exchanges. For e xample, contrary to the IHE XDS, we do not have to expect patients’ records to follow then when they move from one affinity domain to another. Instead one SPARQL query processed by a SPARQL engine is able to composing the links to patient’s original clinical documents. (More)

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Paper citation in several formats:
Puustjärvi J. and Puustjärvi L. (2014). Using Ontology-based Registry and SPARQL Engine in Searching Patient’s Clinical Documents.In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, pages 151-158. DOI: 10.5220/0004716501510158

@conference{healthinf14,
author={Juha Puustjärvi and Leena Puustjärvi},
title={Using Ontology-based Registry and SPARQL Engine in Searching Patient’s Clinical Documents},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},
year={2014},
pages={151-158},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004716501510158},
isbn={978-989-758-010-9},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - Using Ontology-based Registry and SPARQL Engine in Searching Patient’s Clinical Documents
SN - 978-989-758-010-9
AU - Puustjärvi J.
AU - Puustjärvi L.
PY - 2014
SP - 151
EP - 158
DO - 10.5220/0004716501510158

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