Develop and implement reliable digital tools for the detection and registration of Adverse Drug Events (ADEs) at the individual patient level in hospital settings. We aim to building a comprehensive ADE knowledge base that supports the development and validation of prognostic models to predict the risk of ADEs.

Complement evidence from RCTs with evidence about medication safety through reusing routinely collected data from electronic health records. Particular attention is given to patients underrepresented in RCTs, such as individuals with multimorbidity. We we aim to generate new insights into medication safety at the population level in routine clinical practice.

Develop and optimize Clinical Decision Support Systems (CDSS), whether rule-based or data-driven, to deliver medication alerts that adhere to the five rights of CDSS: the right information, to the right person, in the right format, through the right channel, at the right time in the workflow. We aim to support medication-related decision-making at the individual patient level.

Develop and optimize ward- and hospital-level ADE surveillance tools, including audit-and-feedback dashboards, to monitor medication safety and identify opportunities for improvement. We aim to support medication safety improvement initiatives at the population level, such as within jospital wards or across hospitals.