ORIS APIs
Clinical reasoning, document analysis, compliance intelligence, and automation — powered by ORIS.
Clinical Reasoning
AI-powered clinical analysis and care plan generation.
/v1/oris/analyze-encounterAnalyze a clinical encounter for diagnostic suggestions, risk flags, and recommended interventions.
curl -X POST https://api.rymeda.com/v1/oris/analyze-encounter \
-H "Authorization: Bearer rym_test_your_api_key_here" \
-H "Content-Type: application/json" \
-d '{
"encounterId": "session_789",
"includeRiskFlags": true
}'/v1/oris/generate-care-planGenerate a personalized care plan based on clinical data, treatment history, and evidence-based guidelines.
{
"clientId": "client_123",
"conditions": ["F32.1", "F41.1"],
"preferences": {
"modality": "outpatient",
"frequency": "weekly"
}
}Document Analysis
Extract structured data and entities from clinical documents.
/v1/oris/analyze-documentUpload and analyze clinical documents (progress notes, assessments, referrals) for structured data extraction.
{
"documentUrl": "https://storage.rymeda.com/docs/note_456.pdf",
"documentType": "progress_note",
"extractFields": ["diagnosis", "medications", "vitals"]
}/v1/oris/extract-entitiesExtract named entities (patients, providers, medications, conditions) from unstructured clinical text.
{
"text": "Patient John D. was seen by Dr. Mitchell on 01/15/2025 for follow-up on major depressive disorder. Currently taking Sertraline 100mg daily.",
"entityTypes": ["person", "provider", "medication", "condition", "date"]
}Compliance Intelligence
AI-driven compliance checks and risk assessment.
/v1/oris/compliance-checkRun an AI compliance check against documentation, coding, and regulatory requirements.
{
"resourceType": "claim",
"resourceId": "claim_001",
"checkTypes": [
"coding_accuracy",
"documentation_completeness",
"regulatory_compliance"
]
}/v1/oris/risk-assessmentGenerate a risk assessment for a patient, provider, or organization based on historical data and patterns.
{
"entityType": "organization",
"entityId": "org_100",
"riskCategories": ["compliance", "financial", "clinical"]
}Automation & Predictions
Trigger automated workflows and generate predictive analytics.
/v1/oris/trigger-workflowTrigger an ORIS automation workflow with custom parameters and context.
{
"workflowId": "wf_050",
"params": {
"organizationId": "org_100",
"triggerReason": "monthly_compliance_review"
},
"dryRun": false
}/v1/oris/predictGenerate predictions for operational and clinical metrics using trained models.
{
"model": "revenue_forecast",
"input": {
"organizationId": "org_100",
"timeRange": {
"start": "2025-02-01",
"end": "2025-03-31"
}
}
}Model Information
Understanding confidence scores, token limits, rate limits, and model versioning for ORIS endpoints.
Confidence Scores
All responses include a confidence field ranging from 0.0 to 1.0. Use threshold filtering for production workloads to ensure result quality.
Token Limits
Input max 16,000 tokens, output max 4,000 tokens per request. Longer documents should be chunked before processing.
Rate Limits
AI endpoints are rate-limited separately — 60 requests/min (Growth), 300 requests/min (Enterprise). Exceeding limits returns 429.
Model Versioning
Models are versioned. Pin a specific version for deterministic results or use "latest" for automatic updates as new models are released.
Integrate ORIS intelligence
Add clinical AI capabilities to your application with a few API calls. Full documentation, sandbox access, and engineering support included.