Data-driven medication safety
What we do
We are dedicated to optimizing medication safety by leveraging information technology. Our primary focus is on patients with multiple chronic conditions and therefore taking multiple medications. Currently, there is limited knowledge available concerning medication safety in these patients. Consequently, these patients have a higher risk of medication-related harm and treatment failure.
Our aims
- Provide reliable digital tools for Adverse Drug Events (ADEs) detection and registration on the individual patient level in hospital settings
- Supplement evidence from RCTs with real-world evidence about medication safety by reusing routinely collected data.
- Develop or optimize existing clinical decision support systems for medication alerts.
- Develop and optimize ADE monitoring via ADE monitoring tools
Contact
More information: Website PharmacoInformatics
Scientific projects
Data-driven medication safety in the ICU
This project focuses on improving medication safety for patients in the Intensive Care Unit. We aim to reduce high-risk medication interactions and medication-related kidney complications by establishing a strong IT-foundation for a learning medication safety system.
KIK staff: Joanna Klopotowska, Anne Langermans, Arthur Wasylewicz, Charlotte Mittendorf
LEAPfROG
LEAPfROG aims to create a medication safety learning system using machine learning tools. The value of the system will be demonstrated via drug-induced kidney diseases (DIKD) in patients with chronic kidney disease. By providing insights on DIKD in these patients, LEAPfROG will contribute to a safer and more effective pharmacotherapy.
KIK Staff: Joanna Klopotowska, Birgit Damoiseaux, Daniel Fernandez Ilaneza, Joris Lieverse, Izak Yasrebi de Kom