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1.
Biomed Res Int ; 2016: 6741418, 2016.
Article in English | MEDLINE | ID: mdl-27123451

ABSTRACT

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.


Subject(s)
Electronic Health Records , Patient Safety/statistics & numerical data , Pharmacovigilance , Delivery of Health Care , Humans
2.
Article in English | MEDLINE | ID: mdl-24303234

ABSTRACT

EHRs can now be adapted to integrate seamlessly with existing research platforms. However, key challenges need to be overcome in order to provide a platform that functions across many EHR systems. The IHE Quality, Research and Public Health (QRPH) domain addresses the information exchange standards necessary to share information relevant to quality improvement in patient care and clinical research. In collaboration with CDISC's Healthcare Link initiative, IHE QRPH has developed a set of integration profiles that specifically address EHR-enabled research. The panel participants from three European projects will present how subsets of existing IHE QRPH profiles can be pulled together (and extended when necessary) to form a super profile which will standardize and automate the clinical trial process flow. The EHR4CR project is providing adaptable, reusable and scalable tools and services for reusing data from hospital EHRs for Clinical Research. TRANSFoRm is developing an informatics infrastructure to support the learning healthcare system in European Primary Care. SALUS project is providing scalable, standard based interoperability framework for sustainable proactive post market safety studies. Overall, the panel will discuss the key steps towards realizing a joint EHR4CR/TRANSFoRm/SALUS European projectathon demonstrating EHR-enabled clinical research across Europe using standard-based integration and content profiles.

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