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Postmarketing Safety Study Tool: A Web Based, Dynamic, and Interoperable System for Postmarketing Drug Surveillance Studies
Postmarketing drug surveillance is a crucial aspect of the clinical research activities in pharmacovigilance and pharmacoepidemiology. Successful utilization of available Electronic Health Record (EHR) data can complement and strengthen postmarketing safety studies. In terms of the secondary use of...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4620247/ https://www.ncbi.nlm.nih.gov/pubmed/26543873 http://dx.doi.org/10.1155/2015/976272 |
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author | Sinaci, A. Anil Laleci Erturkmen, Gokce B. Gonul, Suat Yuksel, Mustafa Invernizzi, Paolo Thakrar, Bharat Pacaci, Anil Cinar, H. Alper Cicekli, Nihan Kesim |
author_facet | Sinaci, A. Anil Laleci Erturkmen, Gokce B. Gonul, Suat Yuksel, Mustafa Invernizzi, Paolo Thakrar, Bharat Pacaci, Anil Cinar, H. Alper Cicekli, Nihan Kesim |
author_sort | Sinaci, A. Anil |
collection | PubMed |
description | Postmarketing drug surveillance is a crucial aspect of the clinical research activities in pharmacovigilance and pharmacoepidemiology. Successful utilization of available Electronic Health Record (EHR) data can complement and strengthen postmarketing safety studies. In terms of the secondary use of EHRs, access and analysis of patient data across different domains are a critical factor; we address this data interoperability problem between EHR systems and clinical research systems in this paper. We demonstrate that this problem can be solved in an upper level with the use of common data elements in a standardized fashion so that clinical researchers can work with different EHR systems independently of the underlying information model. Postmarketing Safety Study Tool lets the clinical researchers extract data from different EHR systems by designing data collection set schemas through common data elements. The tool interacts with a semantic metadata registry through IHE data element exchange profile. Postmarketing Safety Study Tool and its supporting components have been implemented and deployed on the central data warehouse of the Lombardy region, Italy, which contains anonymized records of about 16 million patients with over 10-year longitudinal data on average. Clinical researchers in Roche validate the tool with real life use cases. |
format | Online Article Text |
id | pubmed-4620247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-46202472015-11-05 Postmarketing Safety Study Tool: A Web Based, Dynamic, and Interoperable System for Postmarketing Drug Surveillance Studies Sinaci, A. Anil Laleci Erturkmen, Gokce B. Gonul, Suat Yuksel, Mustafa Invernizzi, Paolo Thakrar, Bharat Pacaci, Anil Cinar, H. Alper Cicekli, Nihan Kesim Biomed Res Int Research Article Postmarketing drug surveillance is a crucial aspect of the clinical research activities in pharmacovigilance and pharmacoepidemiology. Successful utilization of available Electronic Health Record (EHR) data can complement and strengthen postmarketing safety studies. In terms of the secondary use of EHRs, access and analysis of patient data across different domains are a critical factor; we address this data interoperability problem between EHR systems and clinical research systems in this paper. We demonstrate that this problem can be solved in an upper level with the use of common data elements in a standardized fashion so that clinical researchers can work with different EHR systems independently of the underlying information model. Postmarketing Safety Study Tool lets the clinical researchers extract data from different EHR systems by designing data collection set schemas through common data elements. The tool interacts with a semantic metadata registry through IHE data element exchange profile. Postmarketing Safety Study Tool and its supporting components have been implemented and deployed on the central data warehouse of the Lombardy region, Italy, which contains anonymized records of about 16 million patients with over 10-year longitudinal data on average. Clinical researchers in Roche validate the tool with real life use cases. Hindawi Publishing Corporation 2015 2015-10-12 /pmc/articles/PMC4620247/ /pubmed/26543873 http://dx.doi.org/10.1155/2015/976272 Text en Copyright © 2015 A. Anil Sinaci et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Sinaci, A. Anil Laleci Erturkmen, Gokce B. Gonul, Suat Yuksel, Mustafa Invernizzi, Paolo Thakrar, Bharat Pacaci, Anil Cinar, H. Alper Cicekli, Nihan Kesim Postmarketing Safety Study Tool: A Web Based, Dynamic, and Interoperable System for Postmarketing Drug Surveillance Studies |
title | Postmarketing Safety Study Tool: A Web Based, Dynamic, and Interoperable System for Postmarketing Drug Surveillance Studies |
title_full | Postmarketing Safety Study Tool: A Web Based, Dynamic, and Interoperable System for Postmarketing Drug Surveillance Studies |
title_fullStr | Postmarketing Safety Study Tool: A Web Based, Dynamic, and Interoperable System for Postmarketing Drug Surveillance Studies |
title_full_unstemmed | Postmarketing Safety Study Tool: A Web Based, Dynamic, and Interoperable System for Postmarketing Drug Surveillance Studies |
title_short | Postmarketing Safety Study Tool: A Web Based, Dynamic, and Interoperable System for Postmarketing Drug Surveillance Studies |
title_sort | postmarketing safety study tool: a web based, dynamic, and interoperable system for postmarketing drug surveillance studies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4620247/ https://www.ncbi.nlm.nih.gov/pubmed/26543873 http://dx.doi.org/10.1155/2015/976272 |
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