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Improving patient flow in the emergency department with an AI solution that predicts hospital admissions

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The client,

St. Antonius Ziekenhuis is a top-clinical hospital that wants to make a difference.

We hear it every day: healthcare needs to change. At St. Antonius Ziekenhuis, they want to help shape what that change looks like. They call it healthy ambition.

They want to learn, improve and innovate. Not by talking about it, but by doing it. That is how they stay at the forefront of healthcare digitalisation and shared decision-making about appropriate care. And how they prepare both healthcare and themselves for the future.

Client St. Antonius
Industry Healthcare
Services AI Solutions

Our solution,

Pressure on the emergency department (ED) is a major challenge, affecting care, workloads and patient satisfaction. This project aims to improve patient flow in the ED by starting the admission process earlier. As part of the AI team at St. Antonius Ziekenhuis, we developed an algorithm to help its doctors decide whether a patient can go home or needs to be admitted. By informing wards about a potential admission in good time, they can prepare sooner and patients can move from the ED to a ward earlier. 

Professional collaboration with dedicated specialists
Marleen Vreeburg Emergency physician - St. Antonius

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