Connect Everything

Integrations

DeepCog connects to your existing clinical infrastructure in hours, not months. Pre-built connectors for every major EHR, lab system, imaging platform, and data standard — with a REST API for everything else.

Works with the tools you already use

🏥
Epic Systems
EHR
🏥
Cerner / Oracle
EHR
🏥
Meditech
EHR
🏥
Allscripts
EHR
🔬
LabCorp
Laboratory
🔬
Quest Diagnostics
Laboratory
🖼️
Philips PACS
Imaging / DICOM
🖼️
GE HealthCloud
Imaging
☁️
AWS HealthLake
Cloud Health Data
☁️
Azure Health Data
Cloud Health Data
☁️
Google Cloud FHIR
Cloud Health Data
🧬
23andMe for Business
Genomics
🧬
Illumina BaseSpace
Genomics / VCF
📋
Salesforce Health
CRM
📋
Veeva Vault
Clinical Trials
🔌
REST / GraphQL API
Custom

Integrate in minutes with our SDK

The DeepCog API is REST-native, OpenAPI-documented, and ships with Python and TypeScript SDKs. FHIR R4 resource bundles are accepted natively — no transformation layer needed.

  • OpenAPI 3.1 specification with interactive Swagger docs
  • Python, TypeScript, and Java SDK with async support
  • FHIR R4 and HL7 v2.x natively parsed — no custom ETL
  • Streaming responses for real-time clinical note generation
  • Webhook support for async batch inference results
  • Rate limiting and quota management per API key
Get API Access →
deepcog_integration.py
from deepcog import DeepCogClient, FHIRBundle

# Initialize with your API key
client = DeepCogClient("dc_prod_xxxxxxxxxxxxxxxx")

# Send a FHIR R4 patient bundle
bundle = FHIRBundle.from_epic("patient_12345")

# Run clinical reasoning
result = client.infer(
  model="ClinicalReasoner-13B",
  input=bundle,
  task="differential_diagnosis",
  max_tokens=1024,
  stream=True
)

# Stream the response
for chunk in result:
  print(chunk.text, end="", flush=True)

# Result includes citations + confidence
print(result.citations) # [PubMed:38291...

Native support for every health data standard

📡

FHIR R4

Full FHIR R4 resource support including Patient, Observation, Condition, Medication, DiagnosticReport, and DocumentReference. US Core and International Patient Summary compliant.

📄

HL7 v2.x

Parse and route HL7 v2 ADT, ORU, ORM, and MDM messages. Automatic version detection from v2.1 through v2.8 with configurable field mapping.

🖼️

DICOM

Ingest radiology and pathology studies directly from PACS systems. Our multimodal models process DICOM metadata alongside imaging reports and free text.

🧬

VCF / FASTQ

Upload Variant Call Format files for automated genomic variant annotation, ACMG classification, and clinical significance interpretation via GenomicLLM.

💊

RxNorm & NDF-RT

Medication normalization and drug-drug interaction checking using the full RxNorm and NDF-RT ontologies, mapped to your formulary automatically.

🏷️

SNOMED CT & ICD-10/11

Automated clinical coding with SNOMED CT, ICD-10-CM, ICD-11, and CPT — supporting diagnosis coding assistance and retrospective chart review.

Your stack, DeepCog-powered

Our solutions engineering team will map your integration requirements and have a proof-of-concept running within 48 hours.

Request Integration Support → Back to Platform