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Gray’s users include some of the largest hospitals in Canada, recognized globally as leaders in healthcare innovation and care delivery.

Case study
Optimizing and orchestrating patient scheduling at the CHUM's integrated cancer center

The CHUM's clinical teams explain how GrayOS improved cancer care,

The problem
The Centre hospitalier de l'Université de Montréal (CHUM), a supra-regional hospital, is one of the largest providers in Canada and sees nearly 500,000 patients a year. The cancer center has 45 infusion chairs and 8 radiation treatment machines.

Like many cancer centers, the CHUM is facing major challenges:
- labor shortage

- growing treatments complexity,

- increasing patient volumes

- administrative burden

- inefficient coordination of care trajectories

- maxed out capacity and increasing patient delays

The solution
GrayOS is deployed across the radiation oncology and the medical oncology departments in order to optimize, automate, and orchestrate the operations.

The results



administrative burden


of additional capacity

unlocked per day


saved each


time required to
train new staff


1000 days of patient delay avoided per year

Clinical knowledge safeguarded :

mitigation of staffing disruptions

The time savings have been enormous. When you can reinvest this much time in caring for patients, it’s a big deal.

Kathy Malas,
Chief innovation and AI, CHUM

We would have never made it through this staff shortage period without GrayOS

Jessica Bédard,
head nurse, CHUM

Improved staff satisfaction

Want to hear it from the CHUM?

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