Project description
Advanced ICT for Risk Assessment and Patient Safety
Adverse Drug Events (ADE) due to product safety problems, and medication errors due to human factors (HF) are a major Public Health issue. They endanger the patients' safety and originate considerable extra hospital costs.Healthcare ICT applications should help reducing the prevalence of preventable ADE, by providing healthcare professionals and patients with relevant knowledge (guidelines, recommendations, etc.). But their efficiency is impeded by two major drawbacks:- lack of reliable knowledge about ADE- poor ability of ICT solutions to deliver contextualised knowledge focused on the problem at hand, aggravated by a poor consideration of causative HF.The objective of the project Patient Safety through Intelligent Procedures in Medication (PSIP) is (1) to facilitate the systematic production of epidemiological knowledge on ADE and (2) to ameliorate the entire medication cycle in a hospital environment.The first sub-objective, SO, is to innovatively produce knowledge on ADE: to know, as exactly as possible, per hospital, their number, type, consequences and causes, including HF. Data Mining of the structured hospital data bases, and Semantic Mining of Data Collections of free-texts (letters, reports), will give a list of observed ADEs, with frequencies and probabilities, thus giving a better understanding of potential risks.The second SO is to develop a set of innovative knowledge based on the mining results and to deliver a contextualised knowledge fitting the local risk parameters, in the form of alerts and decision support functions. This knowledge will be implemented in a PSIP-platform independently of existing ICT applications. These applications will connect to the platform to access and integrate the knowledge in their local system. The design and development cycle of the PSIP solution will be HF oriented.Dissemination plans will be developed taking into account other uses (medical devices, primary and tertiary Healthcare).
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- medical and health sciences health sciences public health
- medical and health sciences basic medicine pharmacology and pharmacy pharmaceutical drugs
- medical and health sciences basic medicine pharmacology and pharmacy adverse drug reactions
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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)
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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
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-ICT-2007-1
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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
59037 Lille
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.