Extract multiple FHIR resources from a document

Extracts text from a document (PDF or image) and converts it into multiple FHIR resources, returned as a transaction Bundle. Combines document text extraction with multi-resource detection. Automatically detects Patient, Condition, MedicationRequest, Observation, and other resource types. Resources are linked with proper references (e.g., Conditions reference the Patient).

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Body Params
string
required

FHIR version to use

string
required

Base64 encoded file content. Supported file types: PDF (application/pdf), PNG (image/png), JPEG (image/jpeg). File type is auto-detected from content magic bytes.

string

Optional FHIR provider name for provider-specific profiles

string

Custom Implementation Guide name. When specified, profiles from this IG are included alongside US Core profiles during resource detection. US Core is always the base layer; custom IG profiles are additive.

string
enum
Defaults to standard

Detection effort. 'standard' runs detection once, 'deep' runs detection multiple times for higher recall.

Allowed:
Responses

400

Invalid request

401

Unauthorized

422

Document could not be processed

500

Server error

Language
Credentials
Bearer
JWT
URL
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Response
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application/json