Solution · Healthcare
Clinical & claims data mapped to FHIR.
Hospitals, labs and payers receive patient, lab and claims data in every possible shape. AdaptivMapr maps it to FHIR R4 with medical-code validators — without shipping raw records to an LLM.
The problem
Why this is hard
Hospitals, labs and payers receive patient demographics, lab results and claims in every possible CSV, Excel and HL7-adjacent shape — one export per source system, none of them alike. Mapping each to a canonical model like FHIR R4 is slow, error-prone and manual, and it is exactly the data you least want to hand to a generic AI. The AdaptivMapr healthcare pack ships 10 FHIR-mapped templates (patient_demographics, lab_results, claims_line_items, drug_formulary and more) with medical-code validators and direct FHIR R4 emit. Schema-only mapping never lets a record leave your system; when you need full-data routing, it runs in-region under a BAA.
How it works
The pipeline, end to end
- 1
Upload a clinical or claims file
Send a CSV or Excel export from your EHR, LIS or claims system. In schema-only mode only the headers and up to 3 short sample rows leave your infrastructure — no patient record is transmitted.
Schema-onlyCSV / ExcelNo PHI leaves - 2
The cascade maps headers to a FHIR template
Five deterministic-first layers (statistics, heuristic, fuzzy, semantic, LLM) resolve each column against the healthcare pack template. Multilingual DE/FR/IT/EN/ES hints catch vocabulary drift; most columns never reach the metered LLM layer.
Cascade engineDE/FR/IT hintspatient_demographics - 3
Validators check the medical codes
Field-level validators verify LOINC (lab codes), ICD-10 (diagnoses), ATC (drugs), CPT (procedures) and NPI (providers) before anything is accepted — so a mismapped or malformed code is caught at map time, not downstream.
LOINCICD-10ATCCPTNPI - 4
Emit FHIR R4 or deliver to your warehouse
Confirmed mappings emit FHIR R4 resources (Patient, Observation, Claim) or write straight to your warehouse or webhook. Medium/high-risk templates auto-flag for human review before commit.
FHIR R4Patient / Observation / ClaimHITL flag
Why AdaptivMapr
What makes it fit
Medical-code validators
PHI via BAA
Multilingual hints
In code
A representative call
Map a lab-results export to the FHIR lab_results template and commit — schema-only, so only headers and a few sample rows leave your system.
# 1. upload (schema-only: headers + <=3 short sample rows)
curl https://api.adaptivmapr.com/v1/uploads \
-H "Authorization: Bearer $MAPR_KEY" \
-F file=@lab_results.csv
# 2. map headers to the FHIR healthcare template
curl https://api.adaptivmapr.com/v1/uploads/$ID/mappings \
-H "Authorization: Bearer $MAPR_KEY" \
-X PATCH -d '{"template":"lab_results"}'
# 3. commit the confirmed mapping (emits FHIR R4)
curl https://api.adaptivmapr.com/v1/uploads/$ID/commit \
-H "Authorization: Bearer $MAPR_KEY" -X POST{
"template": "lab_results",
"risk": "medium",
"requires_hitl": true,
"hitl_status": "pending_review",
"fields": {
"test_code": { "source": "LOINC", "validator": "loinc", "ok": true },
"value": { "source": "Result", "ok": true },
"patient_id": { "source": "MRN", "fhir_resource": "Patient" }
}
}FAQ
Common questions
Ready when you are
Map healthcare data without shipping raw records.
Test on schema-only for a few tokens per map. Full-data routing under a BAA when you go live.