Appointment No-Show Risk Estimator
Predict appointment no-show probability based on lead time, reminders, and history. Enter values for instant results with step-by-step formulas.
Worked Examples
Example 1: Medical Practice Assessment
Problem: Primary care practice analyzing appointment risk. New patient booking 10 days out, no prior history. Morning Monday slot. Only 1 reminder planned. Appointment value $200.
Solution: Base Risk Factors:\nAppointment type: Medical = 20% base rate\nLead time: 10 days (>7 days = 1.1x modifier)\nReminders: 1 (15% reduction)\nPrior history: New patient (neutral)\nTime: Morning (0.9x)\nDay: Monday (1.1x)\n\nCalculation:\nBase: 0.20\nAfter lead time: 0.20 × 1.1 = 0.22\nAfter reminders: 0.22 × (1 - 0.15) = 0.187\nAfter time: 0.187 × 0.9 = 0.168\nAfter day: 0.168 × 1.1 = 0.185\n\nFinal Risk: 18.5%\nRisk Level: Moderate\n\nExpected Loss:\n$200 × 18.5% = $37 expected value at risk\n\nRecommendations:\n1. Add second reminder (could reduce to ~12%)\n2. Monday morning is a risk factor\n3. New patient = no history signal\n4. Consider confirmation call for new patients\n\nWith 2 Reminders:\nBase after lead: 0.22\nAfter 2 reminders: 0.22 × (1 - 0.30) = 0.154\nAfter time/day: 0.154 × 0.9
Result: 18.5% risk (Moderate) | $37 expected loss | Add 2nd reminder to reduce to ~15%
Example 2: Dental Practice High-Risk Patient
Problem: Patient has 3 no-shows in 8 previous appointments. Booking 14 days out for Friday afternoon cleaning. $120 appointment. Currently send 2 reminders.
Solution: Historical Analysis:\nNo-shows: 3\nTotal appointments: 8\nHistorical rate: 37.5% (HIGH)\n\nRisk Calculation:\nBase (dental): 15%\nLead time (14 days): × 1.3 = 19.5%\nReminders (2): × 0.70 = 13.7%\nHistory (>30%): × 1.5 = 20.5%\nTime (afternoon): × 1.0 = 20.5%\nDay (Friday): × 1.15 = 23.6%\n\nFinal Risk: 23.6%\nRisk Level: Moderate-High\n\nExpected Loss:\n$120 × 23.6% = $28.32\n\nThis Patient's Risk Factors:\n- Historical 37.5% no-show rate is major red flag\n- Friday afternoon compounds the risk\n- Long lead time adds uncertainty\n\nRecommendations:\n1. Require confirmation 48hrs before (reschedule if no response)\n2. Consider deposit requirement ($25-50)\n3. Call personally in addition to automated reminders\n4. Offer earlier in week slot (lower inherent risk)\n5. Add to overbooking eligi
Result: 23.6% risk (Moderate-High) | History major factor | Require confirmation or deposit
Example 3: Restaurant Reservation Analysis
Problem: Fine dining restaurant. Saturday evening 8-top reservation made 5 days ahead. First-time guest via OpenTable. $150/person expected. No deposits currently.
Solution: Reservation Details:\nParty size: 8 people\nLead time: 5 days\nDay/Time: Saturday evening\nGuest type: First-time, online booking\nPer-person value: $150\nTotal value: $1,200\n\nRisk Assessment:\nBase (restaurant): 12%\nLead time (5 days): neutral = 12%\nNo reminders assumed: × 1.4 = 16.8%\nNo history: neutral = 16.8%\nEvening: × 1.15 = 19.3%\nSaturday: × 1.05 = 20.3%\n\nLarge Party Adjustment:\nLarger parties have higher no-show rates (coordination issues)\n8-top: × 1.3 additional modifier\nFinal: 20.3% × 1.3 = 26.4%\n\nExpected Loss:\n$1,200 × 26.4% = $317 expected value at risk\n\nFinancial Impact:\n- Empty 8-top on Saturday = massive opportunity cost\n- Could have seated 2-3 smaller parties\n- Staff scheduled for large party\n\nMitigation Strategies:\n1. Credit card hold (industry stan
Result: 26.4% risk | $317 expected loss | 8-top Saturday = require credit card hold
Frequently Asked Questions
What is a typical no-show rate?
No-show rates vary by industry: medical 15-30%, dental 10-20%, restaurants 10-20%, salons 15-25%, professional services 5-15%. These rates have significant financial impact—a 20% no-show rate means 1 in 5 appointments generate no revenue.
What factors most influence no-show risk?
Key factors include: lead time (longer = higher risk), reminder frequency (more reminders = lower risk), patient/client history, appointment time (evenings higher risk), day of week (Mondays and Fridays higher), weather, and whether prepayment is required.
What's the cost of a no-show?
Direct costs: lost revenue for that slot, staff time waiting. Indirect costs: opportunity cost (someone else could have booked), scheduling inefficiency, potential patient/client dissatisfaction for others if delays result.
How does lead time affect no-show risk?
Longer lead times correlate with higher no-shows: 1-2 days: ~10%, 1 week: ~15%, 2 weeks: ~20%, 1 month+: 25-30%. People forget, circumstances change, urgency fades. Same-day appointments have lowest no-show rates.
Should I charge no-show fees?
No-show fees (typically $25-100) deter some no-shows but have drawbacks: difficult to collect, may alienate customers, require clear policy communication. More effective: easy cancellation (encouraging cancellation over no-show) and confirmation requirements.
How do I identify high-risk patients/clients?
Track history: anyone with 2+ previous no-shows is high risk. Other signals: last-minute bookings, unclear reason for appointment, no confirmation response, distant address (transportation barriers). Flag these for extra reminders or confirmation calls.