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
We presented about the SIMPLIFY and RESCUE study at the NICE Discussion day 2023.
Our study “Acute kidney injury associated with nephrotoxic drugs in critically ill patients: a multicenter cohort study using electronic health record data.” has been published in Clinical Kidney Journal
Our study “Adverse drug events caused by three high-risk drug-drug interactions in patients admitted to intensive care units: a multicentre retrospective observational study.” published in British Journal of Clinical Pharmacology
The early findings from our project on the diagnosis of vancomycin-induced acute kidney injury were accepted for publication in the findings track and lighting round presentation at the prestigious machine learning conference ML4H.
The early findings paper is now published here: [2311.09137] Causal prediction models for medication safety monitoring: The diagnosis of vancomycin-induced acute kidney injury (arxiv.org)
PhD Defense: Potential drug-drug interactions in the intensive care
A fantastic day for Tinka Bakker! She defended her PhD thesis pertaining to the SIMPLIFY study on the 7th December.
Her thesis showed that 40% of the assessed potential drug-drug interactions (pDDIs) in the intensive care (ICU) were considered not clinically relevant. The use of computerized decision support systems can support clinicians to enhance medication safely, by showing pDDI alerts to warn about pDDIs. Tailoring pDDI alerts to the ICU setting reduced exposure to clinically relevant pDDIs for ICU patients, improved patient monitoring, and decreased ICU length of stay.
Very excited and proud, that our stepped-wedge cluster randomised trial on the effect of tailoring CDSS pDDI alerts to the ICU environment was published in The Lancet. Click on the link to read the whole manuscript.