Semantic-sensitive Extraction of EHR data to Support Adverse Drug Event Reporting

The reasons behind adverse drug events (ADE) getting underreported by medical professionals are overlooking complex drug reactions and dealing with cumbersome manual process of reporting ADE based on patient profiles. We present an initial design of SALUS ICSR reporting tool that supports the reporting of ADE to regulatory authorities with services (i) enabling automatic prepopulation of reporting forms by extracting patient data from EHR and (ii) presenting pre-filled reporting forms to medical professionals for further completion and validation. The main objective of this tool is to ease the process of filling ADE reporting forms and increase the quality of reported data. To enable the compatibility of our reporting tool with heterogeneous EHR data models, SALUS interoperability platform supports the patient data extraction process and ensures the reporting of ADE in a standardized format expected by regula-