A big round applause for Rachel O'Sullivan-Murphy, who defended her PhD thesis on the 27th of January!
Medication-related harm accounts for 32% of all healthcare-related harm in Dutch hospitals, with adverse drug events (ADEs) being a major contributor.
Despite their significant impact, ADEs are often poorly documented, hindering targeted interventions and effective monitoring.
This thesis explores the automation of ADE detection in Dutch electronic health records (EHRs) using natural language processing (NLP), focusing on drug-related acute kidney injury (DAKI) in intensive care unit (ICU) patients, a group with a particularly high burden of ADEs.
Curious? Click here for more information.
Rachel O'Sullivan-Murphy. Adverse drug event detection in intensive care unit electronic health record data