Cloud Healthcare API is GCP's integrated platform for medical data, supporting the three major medical standards: FHIR / HL7v2 / DICOM.Discovery Engine is the umbrella brand for Gen AI Search (covering Vertex AI Search, Recommendations, and more). In the healthcare space, it pairs with MedLM and Healthcare NLP to power EHR Q&A and clinical summarization.
| Service | Standard | Use case |
|---|---|---|
| FHIR Store | HL7 FHIR R4 | EHRs, patient information, test results |
| HL7v2 Store | HL7v2 | Legacy medical messaging |
| DICOM Store | DICOMweb | Radiology images / pathology images |
| Consent Management | FHIR Consent | Patient consent management |
| Healthcare NLP API | — | Structured extraction from medical documents |
| Healthcare Data Engine | — | Lakehouse-integrated platform |
from google.cloud import healthcare_v1
client = healthcare_v1.FhirStoreServiceClient()
fhir_store = "projects/PROJECT/locations/us-central1/datasets/my-dataset/fhirStores/my-fhir"
# Create a patient resource
patient = {
"resourceType": "Patient",
"name": [{"family": "Yamada", "given": ["Taro"]}],
"gender": "male",
"birthDate": "1985-04-01",
}
# Bulk Export → BigQuery
client.export_resources(
request={
"name": fhir_store,
"bigquery_destination": {
"dataset_uri": "bq://my-project.fhir_export",
"schema_config": {"schema_type": "ANALYTICS_V2"},
},
}
)from google.cloud import healthcare_v1
client = healthcare_v1.NlpServiceClient()
parent = "projects/PROJECT/locations/us-central1/services/nlp"
response = client.analyze_entities(
nlp_service=parent,
document_content="The patient is a 65-year-old man with a history of hypertension and type 2 diabetes. He is taking metformin 500mg."
)
for entity in response.entity_mentions:
print(f"{entity.text.content} → {entity.type_} (ICD-10: {entity.linked_entities})")
# Example output:
# hypertension -> PROBLEM (ICD-10: I10)
# type 2 diabetes -> PROBLEM (ICD-10: E11)
# metformin -> MEDICINE (RxNorm)| Item | Price |
|---|---|
| FHIR storage | $0.45/GB/month |
| FHIR operations (Read / Write) | $0.40 per 1,000 operations |
| DICOM storage | $0.10/GB/month |
| HL7v2 storage | $0.50/GB/month |
| Healthcare NLP | $1.50 per 1,000 characters |
| MedLM | Gemini-equivalent per-token pricing + a Healthcare premium |
What is Healthcare API?
GCP's healthcare data platform. It provides managed stores for the three major medical standards (FHIR / HL7v2 / DICOM), is HIPAA BAA compliant, and is used for EHRs, diagnostic imaging, and clinical research.
What is Discovery Engine?
The umbrella brand for Gen AI Search. It covers Vertex AI Search, Recommendations AI, Healthcare-specific Search, and more. It has been positioned as the unified product name since 2023.
What can Healthcare NLP API do?
It automatically extracts diseases, medications, symptoms, anatomical sites, and test findings from medical charts and diagnostic documents, and auto-maps them to SNOMED CT / ICD-10 / RxNorm codes.
What is MedLM?
A healthcare-specialized LLM fine-tuned for the medical industry (based on Google's Med-PaLM family). It supports clinical summarization, Q&A, and coding assistance.
What is the pricing model?
Healthcare API: FHIR storage $0.45/GB/month + per-operation charges. NLP $1.50 per 1,000 characters. MedLM is charged per token. DICOM Image: $0.10/GB storage.
Is a HIPAA BAA available?
Google Cloud offers a HIPAA BAA, and Healthcare API is a core BAA-covered service. Combine it with CMEK / VPC SC / Audit Logs for full regulatory compliance.
What is Cloud Healthcare Consent Management?
A patient consent management service. It controls the scope and duration of data usage, enabling regulation-compliant handling of PHI.
What is FHIR Bulk Export?
A feature that exports large volumes of FHIR data to Cloud Storage / BigQuery. Essential for clinical research and for building ML training datasets.
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* Google Cloud is a trademark of Google LLC. For the latest information, see the official Cloud Healthcare API documentation.
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