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...
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Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2015/380497 |
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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 |
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