Operational Objectives

At the operational level, the concrete, measurable and verifiable objectives of the DebugIT project are as follows:

• Aggregate:

  • Build and implement a generic, scalable interoperability platform as defined in this workplan, utilizing agreed interoperability standards (metric: demonstration of the platform).
  • Logically combine (federate) medical and clinical data, information and images from all of the nominated CIS systems at each DebugIT demonstrator site (metric: system to combine data available and implemented for at least 3 of the major sites).
  • Identify, select and acquire relevant data relating to infectious diseases and to the usage/prescribing of antibiotics (metric: data available to the consortium for at least 500,000 patients spanning on average 5 years per patient).
  • Integrate this range of relevant (and de-identified) hospital and community/GP data into a comprehensive clinical data repository (metric: integration tools ready).
  • Establish an integrated, unified clinical data repository with clearly described, validated data for further research and analysis (metric: integrated, unified repository with data from at least 500.000 patients spanning on average 5 years available).
  • Establish an integrated, unified knowledge repository covering a wide variety of relevant sources of knowledge such as medical, workflow and public health knowledge (metric: repository available)

• Research and analyse:

  • Integrate the information in a way that a comprehensive approach towards informed and well-reasoned multi-modal mining hypotheses will be generated (measure: comprehensive theoretical foundation for mining, containing a list of at least 50 critical factors to be included in the later work)
  • Develop new mining methods and approaches (measure: number of implemented new mining methods and the performances of each of them – precision, specificity, recall)
  • Analyse multi-media clinical databases with a special focus on feature extraction from multi-media items for use in DebugIT decision support system
  • Identify safety relevant events, issues and patterns (metric: well defined list of at least 20 relevant new events, issues and patterns available)

• Innovate, deploy and diffuse:

  • Connect DebugIT with existing CIS to build DebugIT demonstrator. Feed live data from CIS into DebugIT and receive feedback, e.g. alerts. (metric: error-free seamless integration of DebugIT into CIS, including bidirectional, asynchronous data exchange)
  • Deploy and integrate DebugIT into CIS applications of participants. (measure: full integration or interoperability established of DebugIT system with at least 3 different systems of project partners)

• Control and predict:

  • Build new monitoring systems to help hospital infection prevention.This is to enable public health policy makers and industry to provide and foresee adequate answers in the fight against infectious pathogens (metric: exploitation plans finalised, concrete negotiations with ECDC and/or WHO started).

• Evaluate:

  • Undertake medico-economic evaluation using historical data comparing elements such as length of stay, usage of antibiotics, length of treatments and rate of adverse events (metric: comparative evidence analysed and reviewed by Boards).
  • Conduct a usability study on the system, including reliability and credibility evaluation, and acceptance (metric: results from empirical surveys and focus-groups available)
  • Assess the effects on practice, such as penetration, rate of usage adherence to decision support treatment coherent towards antibiograms (metric: evidence collected and available in a report)