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 findings of a review 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 tool in healthcare, and before its implementation, thorough external validation is often needed.

In the upcoming podcast, we 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.

Don’t miss the fourth episode, available now!