Transform unstructured text records into compliant FHIR JSON profiles automatically. Prepared for instant interoperability.
Our compiler maps clinical entities into discrete standard FHIR resources, referencing schemas and adding standard profile tags.
Classify extracted parameters into corresponding HL7 FHIR categories (e.g. Patient, Observation, Practitioner).
Inject US Core Implementation Guide profiles, adding standard structure definitions and metadata tags.
Generate fully structured FHIR JSON payloads, grouping observations and medication requests into reference tables.
FHIR Resource: Patient | Status: Validated
ID: pat-123 | Name: Jane Doe | DOB: 1984-11-12
FHIR Resource: Observation | Status: Validated
ID: obs-Na | Lab: Serum Sodium | Value: 138 mmol/L
Integrate this platform module with standard code requests. Receive clean, validated, and normalized payloads that fit into EHR databases or server hooks.
{
"resourceType": "MedicationRequest",
"id": "med-rx-102",
"status": "active",
"intent": "order",
"medicationCodeableConcept": {
"coding": [
{
"system": "http://www.nlm.nih.gov/research/umls/rxnorm",
"code": "198440",
"display": "Acetaminophen 325 MG Oral Tablet"
}
]
},
"subject": {
"reference": "Patient/pat-123"
}
}Request a custom data extraction assessment. Our healthcare integration architects will evaluate your email attachments, faxes, scanned files, and EHR configurations.