26-03-2022: SIMPLIFY Study featured in ZonMW GGG magazine
SIMPLIFY Study has been selected to be featured in the ZonMW magazine about 10 years of Goed Gebruik Geneesmiddelen (GGG) programme. For this magazine ZonMW funded studies perceived as most interesting, successful and/or promising have been selected. The results of the SIMPLIFY Study will be presented at the GGG Conference on 31st of March 2022.
9-3-2022: Our abstract selected for oral presentation at ERA Congress
Our abstract on “Acute Kidney Injury and exposure to nephrotoxic drugs in critically ill patients – a report from the multicenter RESCUE project in the Netherlands” has been selected for oral presentation at the 59th European Renal Association (ERA) Congress in Paris from 19-22 March 2022.
7-3-2022: Positive advice on our pre-proposal for SIMPLIFY implementation
Our pre-proposal on “Standardised and efficient configuration of computerised decision support systems for drug-drug interactions” has been invited as 1 of 5 from 13 submitted pre-proposals to submit a full-proposal within the ZonMW Round “Implementation and scaling-up of knowledge from Goed Gebruik Geneesmiddelen programma”. In this proposal we aim for a broader and more sustainable implementation of the results of the SIMPLIFY Study; Especially our list of clinically relevant potential drug-drug interactions and performance feedback.
26-04-2022: The LEAPfROG project has been granted funding by NWO
We are very excited to share that “LEveraging real-world dAta to optimize PharmacotheRapy outcomes in multimOrbid patients by using machine learning and knowledGe representation methods” – the LEAPfROG project, has been granted funding by the Dutch Research Council (NWO).
All preparation to start the LEAPfROG project have been finalized and we started the project on the 1st of November 2022!
Our scoping review “Adverse drug event detection using natural language processing: A scoping review of supervised learning methods” has been published in PLOS One.
Our paper “Drug-related causes attributed to acute kidney injury and their documentation in intensive care patients” has been published in Journal of Critical Care.
Our systematic review “Electronic health record-based prediction models for in-hospital adverse drug event diagnosis or prognosis” has been published in JAMIA