Objective
Adverse drug effects endanger patients’ safety and cause considerable extra healthcare costs. The procedures of drug surveillance and drug harm prevention are studied by pharmacovigilance. Several Information Technology (IT) methods are currently employed for conducting research as regards identification of pharmacovigilance signals. The current project (SAFER) will elaborate on exploiting and complementing evidence obtained from various types of existing pharmacovigilance signal sources through: (a) the semantic harmonization and mediation among the respective signal detection methods, and (b) the development of signal aggregation and reasoning mechanisms that will enable knowledge fusion of the obtained outcomes, introducing overall an integrated, semantic approach for obtaining and managing knowledge on pharmacovigilance signals. The proposed approach is particularly applicable, since signal generation is characterized by incomplete knowledge and uncertainty in the results obtained from all types of signal detection methods, thus, a synthesis of all possible signal sources is necessary. SAFER aims to properly detect true associations and minimize false positive findings, which are the major drawbacks of most signal detectors currently available, so as to reinforce the reliability and completeness of pharmacovigilance signals. Major expected results of SAFER constitute: (a) a generic knowledge model that will address the heterogeneity of the available signal detectors via their semantic harmonization, (b) an advanced decision support service for medication error prevention based on the introduced reasoning scheme, and (c) a semantically-enriched IT framework for integrated pharmacovigilance research. SAFER will be conducted in the INSERM - U872, Eq20 - group, a centre of excellence in the field of knowledge engineering and semantic technologies in e-health with major application domain pharmacovigilance.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences health sciences health care services eHealth
- medical and health sciences basic medicine pharmacology and pharmacy pharmaceutical drugs
- natural sciences computer and information sciences knowledge engineering
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2012-IEF
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
75654 PARIS
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.