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Submitted on 29 Jun 2011
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Comparing the DebugIT dashboards to national
surveillance systems
Christel Daniel, Rémy Choquet, Ariane Assele, Frank Enders, Philipp
Daumke, Marie-Christine Jaulent
To cite this version:
Christel Daniel, Rémy Choquet, Ariane Assele, Frank Enders, Philipp Daumke, et al.. Comparing
the DebugIT dashboards to national surveillance systems. BMC Proceedings, BioMed Central, 2011,
5 (Suppl 6), pp.O1. �10.1186/1753-6561-5-S6-O1�. �inserm-00604614�
O R A L P R E S E N T A T I O N
Open Access
Comparing the DebugIT dashboards to national
surveillance systems
C Daniel
1*, R Choquet
2, A Assele
2, F Enders
3, P Daumke
3, M-C Jaulent
2From International Conference on Prevention & Infection Control (ICPIC 2011)
Geneva, Switzerland. 29 June
– 2 July 2011
Introduction / objectives
An important limitation of existing large-scale surveil-lance systems of infectious diseases is that they use mostly manual data collection processes and therefore usually deliver trends on an annual basis. The DebugIT project, funded by the 7thEU Framework Programme, provides an access to heterogeneous clinical data sets of different European hospitals. We compared the DebugIT control capabilities to the process and results provided by the French surveillance system of infectious disease (Institut de Veille Sanitaire (InVS)) and the antimicro-bial resistance surveillance study of the Paul-Ehrlich-Society (PEG).
Methods
InVS currently controls every year multidrug resistant bacteria in 930 French healthcare facilities and Nosoco-mial Infection in 176 Intensive Care Units. PEG collects 240 isolates from each of 20-30 microbiology labora-tories every three years. The DebugIT platform provides a scalable solution for executing real-time clinical queries over European data repositories about antibiotic resistance and antibiotic consumption.
Results
Despite different methods for aggregating data and cal-culate incidence rates and antibiotic consumption (e.g. per 1,000 patient-days), the trends observed by national surveillance programs are similar to those reported ret-rospectively by the DebugIt platform. The detailed com-parison is still ongoing.
Conclusion
The use by European surveillance networks of platforms such as DebugIT platform is likely to enhance their
ability for real-time identification of new trends in anti-biotic resistance and/or antianti-biotic consumption. An interesting perspective is to connect DebugIT endpoints to general practitioner electronic medical records or pri-vate laboratory information systems in order to extend the surveillance to the community.
Disclosure of interest
None declared.
Author details
1INSERM-AP-HP-Paris Descartes University, Paris, France.2UMRS 872 eq 20,
INSERM, Paris, France.3Averbis, Freiburg, Germany.
Published: 29 June 2011
doi:10.1186/1753-6561-5-S6-O1
Cite this article as: Daniel et al.: Comparing the DebugIT dashboards to national surveillance systems. BMC Proceedings 2011 5(Suppl 6):O1.
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1INSERM-AP-HP-Paris Descartes University, Paris, France
Full list of author information is available at the end of the article Daniel et al. BMC Proceedings 2011, 5(Suppl 6):O1 http://www.biomedcentral.com/1753-6561/5/S6/O1
© 2011 Daniel et al; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
