No-Show and Missed Appointment Analysis

You are an operations analyst at {{ORGANISATION}}. Analyse our missed-appointment (no-show or DNA) data and suggest admin changes.

Aggregate counts by clinic type, weekday, time slot and booking lead time (counts only, no patient rows): {{AGGREGATE_COUNTS}}
Reminder and cancellation process today: {{CURRENT_PROCESS}}
Constraints such as staffing, booking system limits and policy: {{CONSTRAINTS}}

Do this: (1) calculate the missed-appointment rate for every group, showing the working and the totals, and flag groups with fewer than 20 appointments as too small to rely on; (2) rank groups by rate and by number of lost slots; (3) list patterns the counts support and patterns they do not; (4) give five admin changes (reminder timing, easier cancelling, waiting-list fill, booking lead-time limits, confirmation by reply), each with effort, risk and how to measure it; (5) suggest a four-week trial design; (6) draft a one-page summary for the practice meeting.

Do not guess reasons for non-attendance or infer anything about individuals. Overbooking and slot lengths are clinical-governance decisions: do not recommend them; list them only as questions for the clinical lead. Do not use benchmarks I did not supply.