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Dr Dirk Colaert, MD - Prof Christian Lovis, MD MPH

Dr Dirk Colaert, MD - Prof Christian Lovis, MD MPH. D etecting and E liminating B acteria U sin G I nformation T echnology. The Project in short. FP7 funded project (Framework Program 7) This is a research initiative from the European Union The DebugIT project proposal was ranked first

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Dr Dirk Colaert, MD - Prof Christian Lovis, MD MPH

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  1. Dr Dirk Colaert, MD - Prof Christian Lovis, MD MPH

  2. Detecting and Eliminating Bacteria UsinGInformation Technology

  3. The Project in short FP7 funded project (Framework Program 7) This is a research initiative from the European Union The DebugIT project proposal was ranked first Start date: Jan 1st, 2008 End date: December 31st, 2011 11 Partners 11 Work packages Total EU funding of the project 7M€

  4. The Partners 1 Agfa Agfa HealthCare N.V. 2 HUG Les Hôpitaux universitaires de Genève 3 UNIGE Université De Genève 4 LIU LINKÖPINGS UNIVERSITET 5 EMP Empirica 6 UCL University College London 7 INSERM Institut National de la Santé et de la Recherche Médicale 8 UKLFR Universitätsklinikum Freiburg 9 TEILAM TECHNOLOGIKO EKPEDEFTIKO IDRIMA LAMIAS 10 IZIP IZIP A.S. 11 GAMA Gama/Sofia Ltd.

  5. clinical context Antibiotic resistance is a consequence of evolution via natural selection antibiotic action is an environmental pressure patterns of antibiotic usage greatly affect the number of resistant organisms which develop. overuse of broad-spectrum antibiotics incorrect diagnosis unnecessary prescriptions improper use of antibiotics use of antibiotics as livestock food additives for growth promotion counterfeited drugs

  6. clinical context antibiotic resistance in Salmonella typhimurium DT104, England and Wales, 1984-1995 WHO Weekly Epidemiological Record, Vol 71, No 18, 1996

  7. clinical context

  8. clinical context http://www.rivm.nl/earss

  9. … a race against evolution can only be lost new solutions must be found This has become a new war ! New Antibiotics can not keep up with the bacterial resistance If this is a war: we need a new weapon ITbiotics to help the Antibiotics

  10. Clinical Care Medical research Repositories 1-Collect Data Clinical Data Repository (aggregated, distributed) clinical data clinical data Activities Clinical Activity Reasoning engine Analysis 4-Apply 2-Learn Knowledge Repositories (aggregated, distributed) Knowledge Knowledge 3-Store Knowledge The DebugIT project

  11. The Translational Framework Clinical Care Medical research Repositories 1-Collect Data Clinical Data Repository (aggregated, distributed) clinical data clinical data Activities Clinical Activity Reasoning engine Analysis 4-Apply 2-Learn Knowledge Repositories (aggregated, distributed) Knowledge Knowledge 3-Store Knowledge

  12. Focus points, challenges • Technological • Interoperability • Clinical Data Repository Formalism • Federated Data Mining • Collect everything and mine afterwards or mine on distributed data ? • Multimodal Data Mining • Structured, unstructured, images, … • Data Mining steered by knowledge/reasoning • Federated Knowledge Repository • Multi format, multi source • Reasoning • Statistical + logical • Performance • Formalism and decidability

  13. Focus points, challenges • Functional • Representation of Knowledge • Integration in Clinical Systems • Usability • Proof of concept and example of translational medicine • Clinical Care • Decision support • Patient safety + Efficiency • Medical Research • Pharmaco-vigilance • Strict clinical trials versus ‘real data’ mining • a “nice picture of a dirty world” • applicability and usefulness of results • the “context” problem

  14. Conclusion DebugIT will make a proof of concept of a generic translational framework focused on a specific clinical problem By it’s very nature the system will be scalable and fractal, such that it can be used from very low local levels to high strategic global levels

  15. …

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