CRIS work to support the KConnect H2020 project
The aim is to apply an electronic ‘knowledge base’ in CRIS which will identify physical symptoms and health conditions in text fields (e.g. case notes and correspondence). The system will then use existing CRIS data on medications and information from medical literature on known side-effects, and will then ultimately support an early warning system for clinical staff which will identify whether a particular symptom might be a side-effect of current treatment.