Enterprise Imaging AI Platform for an Outpatient Radiology Network
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Problem
Seven disconnected AI tools
A 15-centre outpatient radiology network had accumulated seven AI point tools across different scanner brands, each with its own contract, interface, and integration. Findings from most tools never reached the radiologist worklist, nobody monitored model performance after go-live, and onboarding a new algorithm took around four months of bespoke work.
Solution
One governed AI pipeline
We built a vendor-neutral enterprise AI platform that routes imaging studies from every scanner to the appropriate third-party algorithms and returns results directly into the PACS worklist. A central console handles onboarding, access control, uptime and drift monitoring, and audit logging, giving the network one governed pipeline instead of seven separate silos.
Measurable Impact
What changed after launch
New algorithm onboarding time reduced from roughly 4 months to 3 weeks
AI results now delivered into the radiologist worklist for all 7 tools, up from 2
Overlapping licence and integration spend cut by 23% after consolidation
Drift and uptime monitoring flagged 3 model performance regressions in the first year
Tech & Tools Used
What powered the build
Ready to Build your Diagnostic Imaging Business with Enterprise AI Platforms
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