Postmarketing Safety Study Tool: A Web Based, Dynamic, and Interoperable System for Postmarketing Drug Surveillance Studies
Autor: | Suat Gönül, Ali Anil Sinaci, Bharat Thakrar, Mustafa Yuksel, Gokce Banu Laleci Erturkmen, H. Alper Cinar, Paolo Invernizzi, Anil Pacaci, Nihan Kesim Cicekli |
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Rok vydání: | 2015 |
Předmět: |
Article Subject
Computer science Interoperability Metadata registry lcsh:Medicine 02 engineering and technology General Biochemistry Genetics and Molecular Biology 03 medical and health sciences 0302 clinical medicine Product Surveillance Postmarketing 0202 electrical engineering electronic engineering information engineering Electronic Health Records Humans Web application Use case 030212 general & internal medicine Internet Data collection Data element General Immunology and Microbiology business.industry lcsh:R General Medicine Data science Data warehouse 3. Good health Italy Information model 020201 artificial intelligence & image processing business Research Article |
Zdroj: | BioMed Research International, Vol 2015 (2015) BioMed Research International |
ISSN: | 2314-6141 2314-6133 |
Popis: | 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. |
Databáze: | OpenAIRE |
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