Appointment No-Show Tracker.
See where no-shows cluster by provider, weekday, and visit type, and fix the schedule.
About this template
Front desks know no-shows cost real money but rarely know where they cluster. This dashboard breaks down show, cancel, and no-show rates by provider, weekday, visit type, and whether a reminder went out, so you can change the schedule instead of guessing. A trend chart and filterable appointment table make it easy to spot the slots going the wrong way.
The live demo ships with sample data: Twelve weeks of anonymized appointments, about 1,400 rows across six providers, with visit type, booking lead time, reminder flag, and final status. Coded patient IDs only, no PHI.
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This is the exact description the Prized agent built it from. Yours can be one sentence: the agent fills in the rest, and you refine from there.
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Build a no-show analytics dashboard for Maple Grove Health, a six provider family practice, used by the practice manager to decide where to change the schedule and the reminder policy instead of guessing. Layout. A KPI row across the top: appointments in the last 12 weeks (1,418), show rate 84 percent, no-show rate 9 percent, cancel rate 7 percent, and estimated revenue lost to no-shows (about 18,500 dollars at 145 dollars per visit). Below it, an area chart of weekly no-show rate over the last 12 weeks with two series, reminder sent versus no reminder. Then a two by two breakdown grid of bar charts: no-show rate by provider, by weekday, by visit type, and a two bar reminder comparison. The bottom section is a filterable table of recent appointments: date, coded patient ID like PT-1042, provider, weekday, visit type, booking lead time in days, reminder yes or no, and a status badge (completed green, canceled amber, no-show red), with filters for provider, status, visit type, and reminder. Data. The charts summarize about 1,400 visits over the last 12 weeks, so seed aggregate counts rather than every visit: one record per provider per weekday holding completed, canceled, and no-show counts split by whether a reminder went out (30 records across six providers); 12 weekly totals with the same splits feeding the trend chart and KPIs; and 5 visit type totals covering annual physical, follow-up, new patient consult, sick visit, and procedure. Also seed about 110 recent individual appointments for the table, consistent with the aggregate story. Coded patient IDs only, no names, no PHI. Plant the story: Dr. Whitfield's Fridays run a 19 percent no-show rate against a practice average of 9, appointments without a reminder no-show at 14 percent versus 6 percent with one, new patient consults are the worst visit type, and the weekly trend creeps upward over the last three weeks. Behavior. Every rate and dollar figure is computed from the seeded counts, table filters combine, default table sort is date descending, and all time ranges are relative to today. Visual identity. Use a forest green accent for primary actions and the healthy show rate series on a clean light neutral base, keeping red strictly for no-shows so the problem spots pop.
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