Effects of Shared Electronic Health Record Systems on Drug-Drug Interaction and Duplication Warning Detection

Shared electronic health records (EHRs) systems can offer a complete medication overview of the prescriptions of different health care providers. We use health claims data of more than 1 million Austrians in 2006 and 2007 with 27 million prescriptions to estimate the effect of shared EHR systems on...

Full description

Bibliographic Details
Main Authors: Christoph Rinner, Wilfried Grossmann, Simone Katja Sauter, Michael Wolzt, Walter Gall
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2015/380497
id doaj-b368e7ae28fe41fcb293c444346bc166
record_format Article
spelling doaj-b368e7ae28fe41fcb293c444346bc1662020-11-24T21:45:10ZengHindawi LimitedBioMed Research International2314-61332314-61412015-01-01201510.1155/2015/380497380497Effects of Shared Electronic Health Record Systems on Drug-Drug Interaction and Duplication Warning DetectionChristoph Rinner0Wilfried Grossmann1Simone Katja Sauter2Michael Wolzt3Walter Gall4Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, 1090 Vienna, AustriaResearch Group Scientific Computing, University of Vienna, 1090 Vienna, AustriaCenter for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, 1090 Vienna, AustriaDepartment of Clinical Pharmacology, Medical University of Vienna, 1090 Vienna, AustriaCenter for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, 1090 Vienna, AustriaShared electronic health records (EHRs) systems can offer a complete medication overview of the prescriptions of different health care providers. We use health claims data of more than 1 million Austrians in 2006 and 2007 with 27 million prescriptions to estimate the effect of shared EHR systems on drug-drug interaction (DDI) and duplication warnings detection and prevention. The Austria Codex and the ATC/DDD information were used as a knowledge base to detect possible DDIs. DDIs are categorized as severe, moderate, and minor interactions. In comparison to the current situation where only DDIs between drugs issued by a single health care provider can be checked, the number of warnings increases significantly if all drugs of a patient are checked: severe DDI warnings would be detected for 20% more persons, and the number of severe DDI warnings and duplication warnings would increase by 17%. We show that not only do shared EHR systems help to detect more patients with warnings but DDIs are also detected more frequently. Patient safety can be increased using shared EHR systems.http://dx.doi.org/10.1155/2015/380497
collection DOAJ
language English
format Article
sources DOAJ
author Christoph Rinner
Wilfried Grossmann
Simone Katja Sauter
Michael Wolzt
Walter Gall
spellingShingle Christoph Rinner
Wilfried Grossmann
Simone Katja Sauter
Michael Wolzt
Walter Gall
Effects of Shared Electronic Health Record Systems on Drug-Drug Interaction and Duplication Warning Detection
BioMed Research International
author_facet Christoph Rinner
Wilfried Grossmann
Simone Katja Sauter
Michael Wolzt
Walter Gall
author_sort Christoph Rinner
title Effects of Shared Electronic Health Record Systems on Drug-Drug Interaction and Duplication Warning Detection
title_short Effects of Shared Electronic Health Record Systems on Drug-Drug Interaction and Duplication Warning Detection
title_full Effects of Shared Electronic Health Record Systems on Drug-Drug Interaction and Duplication Warning Detection
title_fullStr Effects of Shared Electronic Health Record Systems on Drug-Drug Interaction and Duplication Warning Detection
title_full_unstemmed Effects of Shared Electronic Health Record Systems on Drug-Drug Interaction and Duplication Warning Detection
title_sort effects of shared electronic health record systems on drug-drug interaction and duplication warning detection
publisher Hindawi Limited
series BioMed Research International
issn 2314-6133
2314-6141
publishDate 2015-01-01
description Shared electronic health records (EHRs) systems can offer a complete medication overview of the prescriptions of different health care providers. We use health claims data of more than 1 million Austrians in 2006 and 2007 with 27 million prescriptions to estimate the effect of shared EHR systems on drug-drug interaction (DDI) and duplication warnings detection and prevention. The Austria Codex and the ATC/DDD information were used as a knowledge base to detect possible DDIs. DDIs are categorized as severe, moderate, and minor interactions. In comparison to the current situation where only DDIs between drugs issued by a single health care provider can be checked, the number of warnings increases significantly if all drugs of a patient are checked: severe DDI warnings would be detected for 20% more persons, and the number of severe DDI warnings and duplication warnings would increase by 17%. We show that not only do shared EHR systems help to detect more patients with warnings but DDIs are also detected more frequently. Patient safety can be increased using shared EHR systems.
url http://dx.doi.org/10.1155/2015/380497
work_keys_str_mv AT christophrinner effectsofsharedelectronichealthrecordsystemsondrugdruginteractionandduplicationwarningdetection
AT wilfriedgrossmann effectsofsharedelectronichealthrecordsystemsondrugdruginteractionandduplicationwarningdetection
AT simonekatjasauter effectsofsharedelectronichealthrecordsystemsondrugdruginteractionandduplicationwarningdetection
AT michaelwolzt effectsofsharedelectronichealthrecordsystemsondrugdruginteractionandduplicationwarningdetection
AT waltergall effectsofsharedelectronichealthrecordsystemsondrugdruginteractionandduplicationwarningdetection
_version_ 1725906164064976896