Clinic Delay Pareto Chart
This Pareto chart organizes appointment-delay records from one outpatient clinic. Late arrivals, unavailable rooms and provider overruns account for the greatest share of delayed visits, making them natural subjects for process review. The cumulative line shows the proportion of delays covered by the leading causes. This is an operational improvement view and should be interpreted with the clinic's detailed scheduling and privacy practices in mind.
Open it in the AI editor with a prompt pre-filled — keep what works, change what doesn't.
Scenario
An outpatient clinic identifies the most frequent recorded reasons for appointment delays.
Key decisions
- Arrival process: Late arrivals are the largest category.
- Capacity: Room availability is a major operational cause.
- Scheduling: Provider overruns require a separate review.
When to reuse this
Use for operational review of categorized delays, not for patient-level decisions.
Frequently asked questions
What can a clinic learn from a Pareto chart?
Is this a clinical decision tool?
How should delay reasons be collected?
Tweak it with chat, export PNG/SVG, or fork it for your own use case.