Measurable outcomes — not promises.
Each outcome category includes a claim, the mechanism behind it, the source/evidence status, and how we measure it in production.
Outcome categories we measure
Clinical quality
More consistent screening reads with radiologist oversight.
Mechanism. AI-assisted triage and structured drafting reduce variability across readers and shifts.
Measurement. Override rates, peer-review concordance, recall rates.
Turnaround time
Faster report sign-out for routine and prioritized studies.
Mechanism. Worklist prioritization plus reporting automation shortens the review-to-sign-out path.
Measurement. Time-to-final-report, time-to-prioritized-read.
Radiologist productivity
More studies per shift without sacrificing quality.
Mechanism. Structured handoff, key-image selection, and macro-aware drafts cut clerical overhead.
Measurement. Studies per RVU-hour, average sign-out time.
Patient experience
Faster results, stronger follow-up navigation.
Mechanism. Closed-loop recall and referrer notifications integrated into routine workflow.
Measurement. Recall completion rate, time-to-follow-up, patient satisfaction.
Center profitability
Lower per-study read cost and growth-friendly capacity.
Mechanism. Capacity gains compound with volume; integration avoids disruptive system replacement.
Measurement. Per-study read cost, throughput, gross margin per modality.
Health equity / access
Expanded screening mammography access in underserved regions.
Mechanism. Partner model with independent imaging centers and community organizations.
Measurement. Screening adherence, follow-up completion, geographic coverage.
Quality analytics / compliance
Continuous QA visibility for centers and groups.
Mechanism. Override capture, audit logging, and dashboards feeding peer-review and accreditation.
Measurement. QA dashboard adoption, audit completeness, peer-review participation.