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Soap Notes

Here we demonstrate how to use Luci's SoapAgent class to generate a detailed SOAP note based on specific Subjective (S), Objective (O), Assessment (A), and Plan (P) inputs.

Features​

  • Model Name: The AI model used for generating SOAP notes is meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo.
  • Connected Prompts: The agent can pass information between the SOAP sections, ensuring coherent and accurate note generation.
  • SOAP Note Creation: The script handles patient information and generates SOAP notes using medical inputs.

Code Explanation​

from Luci.Agents.soap import *  # Import all necessary components from Luci's SOAP module

# Define the model name and API key (replace with actual API key or pass from user input)
model_name = "meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo"
api_key = ""  # Replace with your API key

# SOAP note inputs
S = "Patient reports mild headache and fatigue."  # Subjective input
O = "Blood pressure is 120/80, heart rate is 75 bpm."  # Objective input
A = "Likely mild dehydration."  # Assessment input
P = "Recommend increasing fluid intake, rest, and monitor symptoms."  # Plan input
M = "Generate a detailed SOAP note based on the inputs."  # Master prompt for the SOAP note

# Create an instance of the SoapAgent class
soap_agent = SoapAgent(
    model_name=model_name,  # The model used for SOAP note generation
    api_key=api_key,        # The API key for accessing the model
    connected=True          # Enable information sharing across the SOAP sections
)

# Generate SOAP note using the inputs
soap_agent.create_soap(S, O, A, P, M)