AI Trace
Productivity AutomationVerified

Reviewed and published by trentmaziarz, July 7, 2026. Discovered and drafted by our automated research pipeline.

Mass General Brigham integrated a co-developed AI algorithm into its radiology scheduling operations, via the Radiology Operations Module (ROM) built with GE HealthCare, which predicts missed appointments and late arrivals to help optimize scheduling and reduce administrative burden.

Details

ROM was the first product to emerge from a 10-year AI collaboration between GE HealthCare and Mass General Brigham announced in 2017. Announced in September 2023, it uses machine learning to predict 'missed care opportunities' — instances where a patient is late, misses an appointment, or fails to schedule a follow-up imaging exam — with up to 96% accuracy in preliminary tests. The tool is also commercially available to other healthcare institutions. ROM is part of GE HealthCare's digital imaging product suite and is integrated into radiology administrative workflows.

Products affected

Radiology Operations Module (ROM)GE HealthCare digital imaging platform

Sources & Evidence

Cite this record

Trace Foundation. (2026). Mass General Brigham: Mass General Brigham integrated a co-developed AI algorithm into its radiology scheduling operations, via the Radiology Operations Module (ROM) built with GE HealthCare, which predicts missed appointments and late arrivals to help optimize scheduling and reduce administrative burden (data as of 2026-07-07) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/edb9c93f-92ee-4539-8197-2c4d817cff9e. Accessed October 5, 2026.

Stable link
https://www.aitrace.org/r/practice/edb9c93f-92ee-4539-8197-2c4d817cff9e
Data as of
July 7, 2026
Last verified
August 4, 2026

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