Clinical Notes Overview

from rubric import Rubric

client = Rubric()

# Log a generated clinical note
client.notes.log(
    project="visit-summarizer",
    
    # Source input (transcript, prior notes, etc.)
    input_text="""
    Patient is a 52-year-old male presenting for follow-up of type 2 diabetes.
    Reports good compliance with metformin. Checking blood sugars at home, 
    running 120-140 fasting. Denies hypoglycemia. No polyuria or polydipsia.
    Last A1c was 7.2% three months ago.
    """,
    
    # AI-generated output
    output={
        "soap_note": {
            "subjective": "52 y/o male with T2DM presents for routine follow-up. Reports good medication compliance with metformin. Home glucose monitoring shows fasting values 120-140 mg/dL. Denies hypoglycemic episodes, polyuria, or polydipsia.",
            "objective": "Vitals pending. Labs: Last A1c 7.2% (3 months ago).",
            "assessment": "1. Type 2 diabetes mellitus - at goal (A1c < 7.5%)",
            "plan": "1. Continue metformin 1000mg BID\n2. Repeat A1c today\n3. Annual diabetic eye exam referral\n4. Follow-up 3 months"
        },
        "icd_codes": ["E11.9"],
        "cpt_codes": ["99214"]
    },
    
    # Expected output (if available)
    expected={
        "required_elements": ["medication_review", "home_monitoring", "a1c_discussion"],
        "icd_codes": ["E11.65"]  # DM with hyperglycemia might be more specific
    }
)