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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: 978-989-758-068-0

Keyword(s): Electronic Health Record, HL7 RIM, CCD Standard, Medication List.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Data Engineering ; e-Business ; Electronic Health Records and Standards ; Enterprise Information Systems ; Health Information Systems ; Integration/Interoperability ; Interoperability ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Semantic Interoperability ; Sensor Networks ; Simulation and Modeling ; Software Agents and Internet Computing ; Software and Architectures ; Symbolic Systems

Abstract: An electronic health record (EHR) is a systematic collection of health information about an individual patient. It includes a variety of types of observations entered over time by health care professionals, recording observations and administrations of drugs and therapies, orders for the administration of drugs and therapies, and test results. A well known problem is the consistency of EHR’s medication list: often some of the prescribed drugs are missing, or some information is no more valid, e.g., some prescribed drugs may be replaced by new drugs, or the dosage may be changed. In this paper we have focused on this problem. We have restricted on EHRs and on prescriptions that are applications of the HL7 Reference Information Model (RIM). Further, we have used the Refined Message Information Model (RMIM) to specify the components that are extracted from prescriptions and transmitted into EHR. We have also specified the criteria for medication list’s consistency, and the way it can be maintained. In addition, we have studied the ways the RIM can be used in linking patient’s prescriptions among themselves such that the name of the link indicates its semantics. By viewing patient’s prescriptions as a linked data structure we can improve the effectiveness of prescriptions’ retrieval as well as provide expressive queries on patient’s health documentation. (More)

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Paper citation in several formats:
Puustjärvi, J. and Puustjärvi, L. (2015). Maintaining the Consistency of Electronic Health Record’s Medication List.In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015) ISBN 978-989-758-068-0, pages 330-335. DOI: 10.5220/0005199203300335

@conference{healthinf15,
author={Juha Puustjärvi. and Leena Puustjärvi.},
title={Maintaining the Consistency of Electronic Health Record’s Medication List},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)},
year={2015},
pages={330-335},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005199203300335},
isbn={978-989-758-068-0},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)
TI - Maintaining the Consistency of Electronic Health Record’s Medication List
SN - 978-989-758-068-0
AU - Puustjärvi, J.
AU - Puustjärvi, L.
PY - 2015
SP - 330
EP - 335
DO - 10.5220/0005199203300335

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