Healthcare

Patient demographics

Patient identity. Emits FHIR Patient.

medium riskFHIR · Patientpatient_demographics_v1

Schema

Fields

7 canonical fields with multilingual hints and field-level validators. Any source column that resolves to one of these is mapped automatically by the cascade.

ColumnTypeRequiredHints / validators
first_namestringyesvorname · prenom · prénom · given name · nombre
last_namestringyesnachname · nom · cognome · family name · apellido
date_of_birthdateyesgeburtsdatum · gebdatum · date de naissance · data di nascita · fecha de nacimiento · dob · birthday · birth date · date_range (min 1900-01-01, max today)
genderenumgeschlecht · sexe · sesso · sexo
ahv_numberstringahv · avs · nss · ssn · regex (^756\.\d{4}\.\d{4}\.\d{2}$)
phonephonetelefon · téléphone · telefono · phone · mobile · phone
emailemailemail · e-mail · mail · correo · email

Sample

Example data

15 rows, multilingual headers (DE/FR/IT), synthetic AHV. 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.

patient_demographics_sample.csv
template
patient_demographics_v1

Try 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.

REST

POST the file with template=patient_demographics_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
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"
Model Context Protocol

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.

mcp
adaptivmapr.match_headers({
  template: "patient_demographics_v1",
  headers: ["first_name", "last_name", /* ... */]
})
MCP install instructions →

Compliance

Full-data on this template

This is a medium-risk template. Full-data mode routes the metered layer-5 call under a BAA and spends a few tokens per map from your prepaid wallet. Schema-only mode (headers + ≤3 sample rows, each clamped to 80 characters) is a data-minimization mode — only column names and a few samples ever leave your tenant. See pricing →

Ready when you are

Put patient demographics 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.

Schema-only is a data-minimization mode · a few tokens per map