Javixor Labs helped modernize a regional healthcare network's diagnostic imaging AI platform, reducing radiologist review times without compromising HIPAA-compliance once the project kicked off.
Our Clients
Each second spent on AI-aided diagnostics becomes a minute longer in the queue for radiologists and, more importantly, one minute that may affect the outcome for patients in urgent cases such as stroke detection. The provider was also facing compliance risks associated with the lack of audit of its IT infrastructure.
Migrated the inference pipeline to cloud-native auto-scaling infrastructure within a HIPAA-compliant VPC, removing the bottleneck.
Weeks 1-8Redesigned the model inference layer for batching and hardware acceleration, boosting inference throughput by 3x without retraining the entire model.
Weeks 6-14Introduced end-to-end audit logs, encryption, and role-based access control for all inference operations.
OngoingAfter six months, the platform had become able to process scans in record speed while having a 100% compliance that the client's auditor had no problems with.
Time required to go from scan uploaded to results assisted with AI decreased from an average 20 minutes to less than 12.
Pipeline can now handle three times more scan requests than ever before without a queue.
The system passed the very first compliance audit with no issues discovered.
We required a team that would be quick, but also able to pass a HIPAA audit without one single issue found. Javixor Labs did both. The radiologists in our company receive their results many times faster than previously.
VP of Clinical Technology
Regional Healthcare Network
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