This ENACT use case aims to improve the clinical management of chronic cardiovascular disease by incorporating environmental exposure data into diagnostic and therapeutic decision-making. Conducted in Sofia, Bulgaria, the study will proceed in two phases: a retrospective data analysis (2025–2026), followed by a non-interventional prospective pilot study (2026–2027) involving approximately 300 adult patients diagnosed with chronic CVD, along with 20 clinicians across 5 hospitals and engagement with 5 policymakers.
The objective is to assess how environmental exposures—particularly air and water pollution and other local hazards—affect long-term cardiovascular health. By integrating data from environmental monitoring systems (e.g., air and water quality databases) into clinical workflows, the project seeks to help healthcare providers better understand patients’ environmental risk factors and make more informed diagnostic and treatment decisions.
ENACT will develop and validate a clinical decision support system (CDSS) powered by AI and machine learning. This system will analyze real-time environmental data alongside patient health records to guide clinicians in adjusting care strategies based on exposure risks. The project also aims to demonstrate how environmental data can be effectively operationalized in clinical settings.
This use case represents a practical step toward personalized, environmentally informed healthcare, supporting clinicians in addressing environmental determinants of chronic disease and improving long-term cardiovascular outcomes.