My research focuses on the development, validation and implementation of clinical prediction models in orthopaedic surgery, with a specific interest in patient-reported outcomes and complications following shoulder interventions. I am particularly committed to improving decision-making processes through robust methodological approaches, reproducible analyses, and collaborative research across disciplines. In parallel, I have largely contributed to the setup and coordination of real-world evidence studies aimed at evaluating the safety and effectiveness of surgical interventions. These projects notably involved protocol development, ethics submissions, and database integration using multiple local real-world data sources as well as automated electronic health records (EHR) extraction.
My work also extends to evidence synthesis and the identification of prognostic factors for surgical outcomes using systematic reviews and expert consensus methods. I also collaborate with national (Schulthess Klinik) and international (Amsterdam UMC, UMC Utrecht, Erasmus MC and Leiden UMC) research institutions to address the methodological challenges related to the interpretation and the prediction of patient-reported and safety outcomes in surgery.
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