An Interoperability Platform Enabling Reuse of Electronic Health Records for Signal Verification Studies.
Depending mostly on voluntarily sent spontaneous reports, pharmacovigilance studies are hampered by low quantity and quality of patient data. Our objective is to improve postmarket safety studies by enabling safety analysts to seamlessly access a wide range of EHR sources for collecting deidentified...
| Publicado en: | BioMed Research International Vol. 2016; pp. 1 - 19 |
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| Autores principales: | , , , , , , , , , |
| Formato: | computer program research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
3/31/2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=114142329&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 114142329 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 3/31/2016 vid: 2016 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 114142329 114142329 114142329 10.1155/2016/6741418 114142329 ppf: 1 ppct: 18 formats: fmt: @attributes: type: P tig: atl: An Interoperability Platform Enabling Reuse of Electronic Health Records for Signal Verification Studies. aug: au: Yuksel, Mustafa Gonul, Suat Laleci Erturkmen, Gokce Banu Sinaci, Ali Anil Invernizzi, Paolo Facchinetti, Sara Migliavacca, Andrea Bergvall, Tomas Depraetere, Kristof De Roo, Jos affil: SRDC Software Research & Development and Consultancy Ltd., 06800 Ankara, Turkey sug: subj: Electronic Health Records Pharmacovigilance Adverse Drug Event Safety Validity Software Design Myocardial Infarction Chemically Induced Nifedipine Administration and Dosage Pancreatitis Chemically Induced Ramipril Administration and Dosage Men's Health Amiodarone Administration and Dosage Ramipril Adverse Effects Amiodarone Adverse Effects Antiarrhythmia Agents Administration and Dosage Pancreatitis Risk Factors Nomenclature Hemorrhage Classification International Classification of Diseases Comparative Studies Descriptive Statistics Funding Source ab: Depending mostly on voluntarily sent spontaneous reports, pharmacovigilance studies are hampered by low quantity and quality of patient data. Our objective is to improve postmarket safety studies by enabling safety analysts to seamlessly access a wide range of EHR sources for collecting deidentified medical data sets of selected patient populations and tracing the reported incidents back to original EHRs. We have developed an ontological framework where EHR sources and target clinical research systems can continue using their own local data models, interfaces, and terminology systems, while structural interoperability and Semantic Interoperability are handled through rule-based reasoning on formal representations of different models and terminology systems maintained in the SALUS Semantic Resource Set. SALUS Common Information Model at the core of this set acts as the common mediator. We demonstrate the capabilities of our framework through one of the SALUS safety analysis tools, namely, the Case Series Characterization Tool, which have been deployed on top of regional EHR Data Warehouse of the Lombardy Region containing about 1 billion records from 16 million patients and validated by several pharmacovigilance researchers with real-life cases. The results confirm significant improvements in signal detection and evaluation compared to traditional methods with the missing background information. pubtype: Academic Journal doctype: computer program research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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