Healthcare
Appointment log
Past appointments. Emits FHIR Appointment.
Schema
Fields
4 canonical fields with multilingual hints and field-level validators. Any source column that resolves to one of these is mapped automatically by the cascade.
| Column | Type | Required | Hints / validators |
|---|---|---|---|
patient_id | string | yes | patient · patient_id · pid |
start_at | date | yes | termin · rendez-vous · cita |
duration_min | number | — | dauer · durée · duración |
status | enum | — | — |
Sample
Example data
8 rows, appointment status enum. Fully synthetic — safe to share, commit, and run in CI.
Download the fixture and drop it into the Workbench, or POST it straight to the API to watch the cascade resolve a real, deliberately-messy header row.
appointment_log_sample.csvappointment_log_v1Try it
Use it
Map a file to this template with one call. The cascade resolves most columns for free on the deterministic layers; only the leftovers reach the metered LLM.
POST the file with template=appointment_log_v1 to /v1/uploads. Schema-only mode sends only headers plus a few clamped sample rows; full-data mode runs row-level AI in-region under a BAA and spends a few tokens per map from your prepaid wallet.
curl -X POST https://api.adaptivmapr.com/v1/uploads \
-H "Authorization: Bearer $ADAPTIVMAPR_API_KEY" \
-F "file=@appointment_log_sample.csv" \
-F "template=appointment_log_v1"Drop AdaptivMapr into Cursor or Claude Desktop and call the same cascade as an MCP tool. Schema-only calls leave only column names and a few clamped samples — a data-minimization mode by design.
adaptivmapr.match_headers({
template: "appointment_log_v1",
headers: ["first_name", "last_name", /* ... */]
})Ready when you are
Put appointment log in production — without shipping raw records.
Spin up a key in minutes. Schema-only mapping runs on the free deterministic cascade; a $10 prepaid wallet covers the metered layer when you need it.