Challenge
Antibiotics have transformed the treatment of infectious diseases, but their misuse and overuse have accelerated the emergence of resistant bacteria. As treatments become less effective, patients face longer illnesses, greater risks of complications and potentially untreatable infections, while hospitals and healthcare systems carry rising costs. Hospitals already held valuable evidence about infections, prescriptions and treatment outcomes. However, these data were often incomplete or stored as free text, images and structured records across incompatible systems, making large-scale analysis and knowledge-sharing difficult.
Solutions
DebugIT brought together clinical expertise and advanced ICT to uncover patterns hidden within data from approximately three million patients across several hospitals. Its technology extracted and harmonised clinical and laboratory information, allowing researchers to monitor how bacteria responded to different antibiotics and identify emerging resistance trends. The project created a virtual clinical data repository, a shared terminology framework and data-mining tools that transformed hospital information into practical knowledge. This knowledge powered clinical monitoring and decision-support tools, helping doctors compare resistance levels, consider contradictions and select more appropriate antibiotics for individual patients.
Results
DebugIT demonstrated that complex information from different hospital systems could be analysed together without building a single central database. Its proof of concept-platform enabled clinicians to search for bacterial infections, examine resistance patterns and receive evidence-based support when choosing treatment. The technology was validated in participating hospitals, with Geneva University Hospitals considering its permanent integration into their information system. Wider use of the approach could support safer prescribing, reduce ineffective treatments and slow antimicrobial resistance, while lowering healthcare costs and accelerating patient recovery.