BreastAI / InformaticsResearch
Session-level metrics proposed to measure radiologist workload after AI triage in breast screening
Academic radiologyyesterday
AI triage can sharply cut breast screening reading counts, but counts alone miss time savings and shifted work. Proposed metrics: total active human interpretation minutes per 1000 women screened, work shifted elsewhere, and diagnostic outcomes, via matched-session design.
- Reading count alone does not capture time saved or work shifted to arbitration, consensus, or other tasks.
- The proposed standard adds total active human interpretation minutes per 1000 women screened, work shifted elsewhere in the pathway, and diagnostic outcomes.
- A matched-session design would measure these workload effects directly.
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