Unlocking efficiency in radiation oncology through
AI-powered scheduling
Empowering admin staff and operations leaders
to do more with less
Standardized radiation oncology care plan templates
Laying the groundwork for automation and safeguarding knowledge.
Automated patient appointment scheduling (planning, treatment, medical visit, nursing, ...) to reduce administrative burden and reduce patient delays.
Operational dashboards and predictive analytics
Live monitoring and prediction of volumes / wait times to proactively right-size your resources (staff, operating hours, ...)
Step 1: Standardize care plans
Key results
+5-10%
Additional patients treated with the same resources
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-80%​
Reduced administrative burden
1000
Days of delay avoided / year
100%
User satisfaction
🚀 Supercharge your EHR / OIS 🚀
How does GrayOS stand out?
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Automated concurrent treatment scheduling and integration with physicians schedules to streamline coordination
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Patient preferences input to improve patient experience
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Prediction of radiation therapy treatment duration to maximize throughput
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Intelligent rescheduling when a machine breaks or cancellations occur to improve management of delays
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User-friendly and fast to reduce administrative burden
How does GrayOS work?
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​Acts as a logistics layer that sits on top of your EHR / OIS
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Live integration with all EHR / OIS​
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Cloud or on-premise deployment
Join a community of innovative leaders in the field
of radiation oncology operations
Anita Vloet,
Radiation therapist,
Princess Margaret Cancer Center UHN
"Working with Gray was a great experience. Their expertise and professionalism helped us to implement GrayOS in our department efficiently and effectively. Their commitment to understanding our needs and providing innovative solutions made the process not only successful but enjoyable."
Caroline Parent,
Administrative coordinator,
CHUM
“ Throughout the journey, Gray has been a partner who has been listening to our needs, here to help solve our challenges, and answer our questions. Their strongest quality is their understanding of our environment and our oncology department. It made things more efficient.”