Scheduling & Capacity Audit: Wait‑Time Diagnostic Tool (Interactive Audit)

An interactive, evidence-driven audit that guides teams through capturing demand, capacity, arrivals, throughput bottlenecks, and prioritized interventions — and produces a 90-day action plan and KPI checklist.

Interactive Tool

Scheduling & Capacity Audit: Wait‑Time Diagnostic Tool

Purpose

This interactive audit helps operational teams quickly diagnose where scheduling, staffing, room/space, arrival behavior, or throughput mismatches create patient waits. Use it to capture evidence, rank bottlenecks, and produce a focused 90‑day action plan tied to measurable KPIs.

How to use

  • Gather a short analysis window (recommended: last 30–90 days) and the supporting exports from your EHR/scheduling system.
  • Paste summary tables or key SQL/report snippets into the demand and sample-queries fields.
  • Rate bottlenecks and propose 1–3 candidate interventions. Use the impact/ease scales to prioritize work.
  • Save the audit. The stored responses become a durable record you can review, assign owners to, and iterate on.

Quick guidance & sample queries

Useful KPIs: average wait time (arrival-to-provider), door-to-provider time, throughput time (arrival-to-discharge), no-show rate, provider utilization, room utilization, on-time clinic starts, patient satisfaction.

Sample query examples (adapt to your schema):

  • Appointments by hour: SELECT appt_hour, COUNT(*) FROM appointments WHERE clinic_id = X AND date BETWEEN A AND B GROUP BY appt_hour;
  • Average arrival-to-room time: SELECT AVG(room_time - arrival_time) FROM visits WHERE clinic_id = X AND date BETWEEN A AND B;
  • No-show rate by provider: SELECT provider_id, SUM(CASE WHEN status='no-show' THEN 1 ELSE 0 END)/COUNT(*) FROM appointments WHERE ... GROUP BY provider_id;
Name of site or department being audited.
YYYY-MM-DD
Paste CSV or list columns: service, provider, avg_daily, peak_days, slot_duration, min_lead_time. Example row: 'PrimaryCare,Dr. Lee,18,Mon,Tue,20,2d'
Summarize typical daily staffing (FTE by role), room/bed counts, scheduled clinic hours and known planned reductions.
Percent of visits that are walk-ins or unscheduled.
Describe how arrivals cluster by hour, day-of-week, and any known seasonal patterns.
Rate each identified bottleneck 1 (low) — 5 (critical). Example: 'registration:4; waiting_for_room:5'
Paste SQL, EHR query fragments, or describe the reports you exported to produce the numbers above. This helps reproducibility.
Impact on average wait time if implemented
1.0 10.0
1.0 10.0
1.0 10.0
1.0 10.0
1.0 10.0
1.0 10.0
Explain why a specific intervention was prioritized (resources, feasibility, risk).
List each item as: task | owner | due date | success metric (e.g. 'Extend clinic hours | Ops Lead | 2026-11-15 | Reduce avg wait by 15%').
Provide URLs or internal file IDs for exported schedules, reports or spreadsheets.
You can explore this tool now. Sign in or create an account to save your responses and return to them later.
Make this tool part of your work

Save a personal copy, bring it to your team, or tailor the questions and workflow to fit what you are hungry to improve.

Member customization and team collaboration are coming soon.

Discussion

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