DebugIT

In about half a century of antibiotic use, unexpected new challenges have come to light: fast emergence of resistances among pathogens, misuse and overuse of antibiotics; direct and indirect related 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 DebugIT project will (1) detect patient safety issues, (2) learn how to prevent them and (3) actually prevent them in clinical cases. Harmful patterns and trends using clinical and operational information from Clinical Information Systems (CIS) will be detect. This will be done through the 'view' of a virtualised 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 virtualisation 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.

For further information, please visit:
http://www.debugit.eu

Project co-ordinator:
Agfa HealthCare (Belgium)

Partners:

  • empirica
  • Gama Sofia Ltd.
  • Institut National de la Santé et de Recherche Medicale
  • Internetový Pristup Ke Zdravotním Informacím Pacienta
  • Linköping University
  • Technological Educational Institute of Lamia
  • University College London
  • University Hospital of Geneva
  • University Medical Center Freiburg
  • University of Geneva

Timetable: from 01/2008 – to 12/2011

Total cost: €8.364.796

EC funding: €6.414.915

Programme Acronym: FP7-ICT

Subprogramme Area: Advanced ICT for risk assessment and patient safety

Contract type: Collaborative project (generic)


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