Healthcare

# Real-world AI clinical note generation concept

def simulate_clinical_note_generator(conversation_transcript):
    """
    Illustrates how AI generates clinical notes from a doctor-patient conversation.
    Tools like Nuance DAX and Microsoft Copilot for Healthcare do this in practice.
    """
    # The AI receives the conversation transcript
    print("Input: Doctor-patient conversation transcript")
    print(f"Transcript length: {len(conversation_transcript)} characters")
    print()

    # The AI generates a structured clinical note
    # In practice this would be an API call to an LLM with a medical system prompt
    structured_note = {
        "chief_complaint": "Patient reports persistent headache for 3 days",
        "history_of_present_illness": "35-year-old patient with 3-day history of frontal headache, rated 6/10 intensity. No fever, no vomiting. Patient reports high stress levels at work.",
        "physical_examination": "Vital signs stable. Neurological exam normal. No neck stiffness.",
        "assessment": "Tension-type headache, likely stress-related",
        "plan": "1. Ibuprofen 400mg as needed. 2. Stress management advice. 3. Return if symptoms worsen or persist beyond 7 days.",
    }

    print("Output: Structured clinical note")
    import json
    print(json.dumps(structured_note, indent=2))
    print()
    print("Time saved: ~15-20 minutes of documentation per patient visit")
    print("Doctor reviews and approves the note before it is finalized")

conversation = "Doctor: What brings you in today? Patient: I have had a headache..."
simulate_clinical_note_generator(conversation)