"Improved patient flow in the emergency department through our AI solution that predicts whether a patient needs to be admitted"

Introduction

St. Antonius Hospital is a top clinical hospital that strives to make a difference.

We hear it every day: healthcare needs to change. At St. Antonius Hospital, they are eager to shape what that ‘change’ looks like. They call it healthy ambition.

They want to learn, improve, and innovate—not by just talking about it, but by actually doing it. In this way, they lead the way in healthcare digitization and shared decision-making for appropriate care, preparing both healthcare and themselves for the future.

Customer

St. Antonius

Tools/Techniques

Services

Data Science & AI

Industry

Healthcare

The goal-driven data solution

The busy nature of the emergency department (ED) is a significant challenge that affects care, workload, and patient satisfaction. The goal of this project is to improve patient flow in the ED by initiating the admission process earlier. To achieve this, we, as part of the AI team at St. Antonius Hospital, have developed an algorithm that can assist doctors in deciding whether a patient can be discharged or needs to be admitted. By informing departments in advance about a potential new admission, they can prepare earlier, allowing for a smoother transition of the patient from the ED to the ward.

‘Professional collaboration with passionate professionals’

Marleen Vreeburg
ED doctor - St. Antonius
Cases

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