FUNGal Infection Surveillance by an artificial-intellingence ENhanced Surveillance program FUNGISENS

Invasive and chronic pulmonary aspergillosis (PA) are severe and potentially fatal fungal infections occurring predominantly in people with an impaired immune system and/or chronic lung disease. New treatments for leukemia, viral respiratory infections, and changes in climate and environment may cause PA to occur more frequently and/or in new risk groups. However, an adequate surveillance system for this type of infections is currently lacking. Collecting data for such a system in the conventional way is error-prone and labor intensive.

Approach/working method

By applying new software using artificial intelligence (AI), hospital information systems can be searched efficiently and anonymously.  

This project investigates if such a method can be used to create a reliable monitoring system for fungal infections, and what the barriers and facilitators for implementation consist of.

(Expected) results

If the method works well, the system can be implemented nationally and expanded to include other invasive fungal infections.