Stand up a clinical-grade annotation pipeline for chest CT and MRI knee studies — high enough IAA that the hospital's AI team will train production models on the output, with audit trails the compliance team will sign off on.
Three independent annotators per study, model-assisted convergence, escalation to clinical reviewer on disagreement.
Senior radiologists review flagged disagreements and a sampling of consensus cases — IAA tracked weekly.
Faithfulness, agreement, edge-case coverage scored on every batch. Regressions block release to the AI team.
ABDM linkage where applicable, HIPAA for export-facing teams. PHI de-identified end-to-end.
Web-based viewer, multi-rater workflows, escalation queues.
Per-batch IAA, edge-case tracking, throughput, SLA metrics.
PHI de-identification, audit logs, evidence packs.
Versioned datasets, schema docs, sample notebooks.