Healthcare
Patient demographics
Patient identity. Emits FHIR Patient.
Schema
The canonical field set, printed as it ships.
7 fields with multilingual hints (DE / FR / IT / EN / ES) and field-level validators. Any source column that resolves to one of these is mapped by the cascade — most of them on the deterministic layers, with no LLM call.
patient_demographics_v1FHIR · Patient- fields
- 7
- required
- 3
- validated
- 4
- hints
- 35
| Canonical column | Type | Required | Validators | Header hints the cascade matches |
|---|---|---|---|---|
first_name | string | yes | — | vornameprenomprénomgiven namenombre |
last_name | string | yes | — | nachnamenomcognomefamily nameapellido |
date_of_birth | date | yes | date_range | geburtsdatumgebdatumdate de naissancedata di nascitafecha de nacimientodobbirthdaybirth date |
gender | enummalefemaleotherunknown | — | — | geschlechtsexesessosexo |
ahv_number | string | — | regex | ahvavsnssssn |
phone | phone | — | phone | telefontéléphonetelefonophonemobile |
email | — | email | emaile-mailmailcorreo |
Read the same definition as JSON at GET /v1/templates/patient_demographics_v1. A hint match resolves on layer 2 — no LLM call, no token spend, just the flat per-map fee. Hover a validator id to see what it checks.
- 7 canonical fields
- 3 required
- 4 validated
- 35 header hints
- Healthcare pack
Try it
A real file, a real call, one template id.
15 rows, multilingual headers (DE/FR/IT), synthetic AHV. Fully synthetic — safe to share, commit, and run in CI.
curl -X POST https://api.adaptivmapr.com/v1/uploads \
-H "Authorization: Bearer $ADAPTIVMAPR_API_KEY" \
-F "file=@patient_demographics_sample.csv" \
-F "template=patient_demographics_v1"requires_hitl: true so you can gate your own commit. Schema-only mode — headers plus at most three sample rows, each clamped to 80 characters — is a data-minimization mode. Full-data routes the metered layer-5 call in-region under a BAA at a 20% uplift, and stays locked until the workspace accepts the BAA/NDA in-app.adaptivmapr.match_headers({
template_id: "patient_demographics_v1",
headers: ["first_name", "last_name", "date_of_birth", "gender"]
})Committed rows can be emitted as FHIR Patient resources — a healthcare-vertical feature on a vertical-agnostic engine.
Ready when you are
Put patient demographics in production — without shipping raw records.
Schema-only mapping leaves only headers and a handful of clamped samples. Add full-data when you need row-level AI, routed in-region under a BAA.