Your no-show rate is visible. It is still costing you money.
Recovering Appointment Capacity Without Adding a New System
“We know our no-show rate. It is on a dashboard. But by the time we see it, the slot is already gone and the patient who needed it is still on a waitlist.”
US health systems know their no-show rate. It is on a dashboard. But by the time leadership sees it, the slot is already gone and the patient who needed it is still on a waitlist. No-show rates commonly run 18 to 30%, and some services above 35%. At $150 per visit contribution, a single 20-provider clinic leaks well over $1M a year through this gap alone.
DATA4AI runs a 90-day pilot on Epic (HIPAA aligned) that scores upcoming appointments for risk using scheduling history, lead time, visit type, and prior attendance, then hands the scheduler worklist a pre-decided outreach action per appointment. Template and overbooking rules are realigned to forecast attendance by clinic, provider, and visit type. Weekly access KPIs are delivered to leadership so the loop closes.
- 15 to 25% of otherwise lost appointment capacity recovered
- 20 to 30% reduction in effective no-show impact in targeted clinics
- Zero new systems purchased or EMR workflows replaced
- Same EMR, same data, a different way in
Download the full case study
Detailed methodology, results, and implementation notes as a PDF.
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