Towards a learning medication safety system in a national network of Intensive Care Units – timely detection of adverse drug events (RESCUE study)

Project Details

Description

At present a routine identification of Adverse Drug Events (ADEs) is not available for Dutch Intensive Care Units (ICU). This hampers timely ADE detection. Especially drug-induced acute kidney injury (DAKI) presents serious concerns for ICU patients. Algorithms obtained by advanced machine learning (ML) techniques may offer real-time DAKI detection, allowing timely corrective actions and promoting a continuous learning cycle.

Therefore, the goal of the RESCUE study is to provide and assess automated DAKI causal algorithms for ICU patients by utilizing advanced ML techniques. Furthermore, patterns in potential nephrotoxic drug use in the ICU will be investigated and proof-of-concept interface of data-driven clinical decision support system will be developed.

The RESCUE Study (2020-2024) is conducted together with 15 Dutch Intensive Care Units (ICUs), the National Intensive Care Evaluation Foundation, IteMedical, Z-Index, KNMP Geneesmiddelen Informatie Centrum, and IC Connect. For the purpose of this study a database created during the SIMPLIFY Study was enriched with additional structured data from electronic health records.
Short titleRESCUE
StatusFinished
Effective start/end date1/11/201931/12/2023