A regional healthcare network modernized its diagnostic imaging AI platform with a dedicated Javixor team, cutting radiologist review time without ever leaving HIPAA-compliant infrastructure.
Every minute of delay in AI-assisted diagnosis is a minute added to a radiologist's queue and, in time-sensitive cases like stroke imaging, a minute that can affect patient outcomes. The provider was also carrying compliance risk from an infrastructure setup that had never been formally audited end to end.
Migrated the inference pipeline to auto-scaling cloud infrastructure inside a HIPAA-compliant VPC, eliminating the fixed-capacity bottleneck.
Weeks 1-8Rebuilt the model serving layer with batching and hardware acceleration, tripling inference throughput without a full model retrain.
Weeks 6-14Implemented end-to-end audit logging, encryption at rest and in transit, and role-based access controls covering every inference request.
OngoingSix months after kickoff, the platform was processing scans faster than it ever had, with a compliance posture the provider's auditors signed off on without a single exception.
Average time from scan upload to AI-assisted result dropped from roughly 20 minutes to under 12.
The re-architected pipeline handles three times the peak scan volume without queuing.
The new infrastructure passed its first full compliance audit with zero findings.
We needed a team that could move fast and still pass a HIPAA audit without a single finding. Javixor did both. Our radiologists get results in a fraction of the time they used to wait.
VP of Clinical Technology
Regional Healthcare Network
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