Project description
Advanced ICT for Risk Assessment and Patient Safety
For infectious diseases DebugIT detects patient safety related patterns and trends, acquires knowledge and uses this for better quality healthcare
In about half a century of antibiotic use, unexpected new challenges have come to light: fast emer-gence of resistances among pathogens, misuse and overuse of antibiotics; direct and indirect re-lated costs. Antimicrobial resistance results in escalating healthcare costs, increased morbidity and mortality and the emergence or reemergence of potentially untreatable pathogens. In this context of infectious diseases we will (1) detect patient safety issues, (2) learn how to prevent them and (3) actually prevent them in clinical cases. We will detect harmful patterns and trends using clinical and operational information from Clinical Information Systems (CIS). This will be
done through the ‘view’ of a virtualized Clinical Data Re-pository (CDR), featuring, transparent access to the original CIS and/or collection and aggregation of data in a local store. Text, image and structured data mining on individual patients as well as on populations will learn us informational and temporal patterns of patient harm. This knowledge will be fed into a Medical Knowledge Repository and mixed with knowledge coming from external sources (for example guidelines and evidences). After editing and validating, this knowledge will be used by a decision support and monitoring tool in the clinical environment to prevent patient safety issues and report on it.
Outcomes and benefits, both clinical and economical will be measured and reported on. Innovation within this project lays in the virtualization of Clinical Data Repository through ontology mediation, the advanced mining techniques, the reasoning engine and the consolidation of all these techniques in a comprehensive but open framework. This framework will be implemented, focused on infectious diseases, but will be applicable for all sorts of clinical cases in the future.
In about half a century of antibiotic use, unexpected new challenges have come to light: fast emer-gence of resistances among pathogens, misuse and overuse of antibiotics; direct and indirect re-lated costs. Antimicrobial resistance results in escalating healthcare costs, increased morbidity and mortality and the emergence or reemergence of potentially untreatable pathogens. In this context of infectious diseases we will (1) detect patient safety issues, (2) learn how to prevent them and (3) actually prevent them in clinical cases. We will detect harmful patterns and trends using clinical and operational information from Clinical Information Systems (CIS). This will bedone through the 'view' of a virtualized Clinical Data Re-pository (CDR), featuring, transparent access to the original CIS and/or collection and aggregation of data in a local store. Text, image and structured data mining on individual patients as well as on populations will learn us informational and temporal patterns of patient harm. This knowledge will be fed into a Medical Knowledge Repository and mixed with knowledge coming from external sources (for example guidelines and evidences). After editing and validating, this knowledge will be used by adecision support and monitoring tool in the clinical environment to prevent patient safety issues and report on it.Outcomes and benefits, both clinical and economical will be measured and reported on. Innovation within this project lays in the virtualization of Clinical Data Repository through ontology mediation, the advanced mining techniques, the reasoning engine and the consolidation of all these techniques in a comprehensive but open framework. This framework will be implemented, focused on infectious diseases, but will be applicable for all sorts of clinical cases in the future.
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.
- natural sciences computer and information sciences knowledge engineering ontology
- medical and health sciences health sciences infectious diseases
- natural sciences computer and information sciences data science data mining
- medical and health sciences basic medicine pharmacology and pharmacy pharmaceutical drugs antibiotics
- medical and health sciences basic medicine pharmacology and pharmacy drug resistance antibiotic resistance
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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-ICT-2007-1
See other projects for this call
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
2640 MORTSEL
Belgium
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.