Clinical Automation Strategy

Clinical automation strategy centers on aligning technology performance with clinical risk, not generic industry benchmarks. Rather than accepting standard error rates (like 97–98%), leaders must define success by health risk thresholds that reflect potential patient harm. This approach drives stricter validation, continuous monitoring, and risk-based governance across workflows—from triage and diagnostics to medication management. The surprising insight: automation that looks “good enough” by IT standards can be dangerous in care delivery, so teams prioritize safety metrics, fail-safe design, and clear escalation paths. Adopting risk-driven thresholds helps organizations deploy automation confidently while protecting patients and meeting regulatory expectations.