AI predicting patient discharge times could manage hospital overcrowding, researchers say | CBC News

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New Brunswick·New

A predictive AI program being developed at the Université de Moncton aims to forecast how long a patient will need care, based on historic data. The province’s francophone health network says it could help staff improve the flow of patients and manage overcrowding.

Hospitals operating at 95% occupancy rate, according to Vitalité Health Network

Katelin Belliveau · CBC News

· Posted: May 28, 2026 5:00 AM EDT | Last Updated: 27 minutes ago

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A large sign says The province’s francophone health network said overcrowding in hospitals across the network remains a problem and that AI could help staff to plan ahead and manage resources. (Shane Magee/CBC)

Researchers at the Université de Moncton believe artificial intelligence is the answer to improve the way patients are processed in and out of hospitals which would reduce overcrowding in acute care beds.

“We know that the hospitals need some tools to improve the process, to optimize the flow of patients,” said Moulay Akhloufi, a computer science professor at the university.

It’s why Vitalité Health Network is working with Akhloufi, whose team has developed a predictive AI program that can forecast how long a patient will need hospital care.

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