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Downtown Medical Center · Trailing 28 days of synthetic operations (2026-09-24 → 2026-10-22)
Recoverable capacity (28 days)
$1.7M (annualized $21.5M)
~6,944 recoverable visits in the last 28 days · $250/visit
Utilization vs target
67.8%
-12.2 pts vs 80% target
Overall Utilization
67.8%
-12.2 pts vs 80% target
Total Exam Rooms
112
Across all clinics
Idle Time
1,432 hrs
Unused gaps between and aftervisits
Turnover Time
4,256 hrs
Room readiness gap after visits
Schedule Attainment
90.1%
Completed as planned
No-Show Rate
8.0%
2,417 no-shows
Reconciliation Score
91.9%
EHR vs Finance
Data Freshness
All feeds fresh
Data quality 95.6%
Visits vs budget
27,621completed visits-1,229 (-4.3%) vs budget
Budget 28,850 · last 28 days (2026-09-24 → 2026-10-22)
Next week: ~6,571 projected · budget 6,869 (below budget)
Tighten scheduling templates, backfill cancellations, and review whether room supply exceeds demand for this specialty.
Pre-stage rooms, parallelise cleaning with documentation, and right-size turnover buffers by appointment type.
Resolve time/room mismatches starting with the highest-volume clinics.
Deterministic model: weekday seasonality × recent trend, with a confidence band. Demo estimate, not ML.
Predicted vs each clinic's target. Drill in to act before it happens.
Explore utilization by clinic, room, provider, day and time block.
Understand the likely drivers behind underutilization.
Data freshness, pipelines, reconciliation and alerts.
Run what-if plans and see the projected impact.
Ask grounded questions about utilization and trust.
Configure the hospital system and regenerate demo data.
| KPI | Green | Amber | Red |
|---|---|---|---|
| Utilization | 80% target or above | 70%–80% | Below 70% |
| Schedule attainment | 85% or more | Below 85% | — |
| No-show rate | 8% or less | — | Above 8% |
| Reconciliation | 95% or more | Below 95% | — |
| Data freshness | All feeds fresh | — | Any feed stale |
Opportunity badges: High = red, Medium = amber, Low = grey. “Clinics at risk” badges show points below target.