DDI of the Month Podcast
Presented by Global DDI Solutions in collaboration with Academic Medical Education, the DDI of the Month podcast brings you the latest updates on drug-drug interactions.
Each month, a new paper will be selected and the author invited to discuss their findings and explore how this can optimize DDI management and patient care going forward.
Host: Dr. David Burger - Professor of Clinical Pharmacy at the Radboud University in Nijmegen, the Netherlands.
He is an Executive Editor of BJCP and serves on the editorial boards of TDM, JAIDS, JAC, and Antiviral Therapy. Since 1997 he has been leading a research group focussing on clinical pharmacology of antimicrobial agents with emphasis on HIV, TB, fungal infections, and hepatitis.
DDI of the Month Podcast
Episode 4: AI’s potential for improving CDSS | Jetske Graafsma & Patricia van den Bemt
The fourth episode will delve into the use of artificial intelligence (AI) to optimize medication alerts generated by clinical decision support systems (CDSSs). David Burger will discuss the review findings and future opportunities with Jetske Graafsma and Dr. Patricia van den Bemt.
Medication safety is crucial, and preventing adverse drug events (ADEs) is a key aspect. Clinical decision support systems (CDSSs) in electronic health records help reduce the risk of ADEs by generating alerts for dosages, DDIs, contraindications, duplicate therapies, drug allergies, and intolerances. However, the high volume of alerts can lead to alert fatigue, potentially causing important alerts to be missed.
In a recent scoping review, Graafsma et al. provided an overview of 10 studies on the application of AI to optimize medication alerts from CDSSs in hospital settings. AI is a promising yet relatively new healthcare tool, and thorough external validation is often needed before its implementation.
The upcoming podcast will discuss the review findings, AI’s potential for improving CDSS, and its practical implementation. We’ll also hear Jetske and Patricia’s insights on alert fatigue and future research opportunities.