balarajr/triage-hospital-agent
188
TRIAGE — Hospital Crisis Agent (Qwen3.5-4B GRPO)
A GRPO fine-tuned version of Qwen3.5-4B specialized for hospital crisis management and clinical triage decision-making, trained as part of the TRIAGE multi-agent system.
Model Description
This model serves as the backbone for a 6-agent hospital crisis simulation that coordinates:
- 🚑 ER Triage Agent — Patient severity classification (START protocol)
- 🏥 ICU Management Agent — Bed allocation and overflow protocols
- 💊 Pharmacy Agent — Drug order validation and contraindication detection
- 👩⚕️ HR Rostering Agent — Emergency staff deployment
- 💻 IT Systems Agent — EHR integrity and system failure response
- 🎯 CMO Oversight Agent — Override decisions and crisis governance
Benchmark Results (TRIAGE Multi-Agent Benchmark)
Composite Score: 87.33/100 [A] (Conservative — 20-step episodes; 50-step runs expected to yield 92+)
Comparison to Existing Work
Training Details
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained(
"user/triage-qwen-4b-grpo",
trust_remote_code=True,
)
tokenizer = AutoTokenizer.from_pretrained("user/triage-qwen-4b-grpo")
prompt = """Hospital Crisis Management System — Step 15
Crisis: mass_casualty | ICU: 45/60 beds | Critical patients: 8
Patients — Critical: 8, Untreated Critical: 3
What is the correct triage action?"""
inputs = tokenizer(prompt, return_tensors="pt")
output = model.generate(**inputs, max_new_tokens=150, temperature=0.1)
print(tokenizer.decode(output[0], skip_special_tokens=True))Limitations
- For research and simulation purposes only
- Not validated for real clinical deployment
- Accuracy depends on prompt quality and crisis scenario complexity
- Should not replace professional medical judgment
Citation
@software{triage2025,
title={TRIAGE: Multi-Agent Hospital Crisis Simulation with DPO Fine-tuning},
year={2025},
note={Meta PyTorch OpenEnv Hackathon submission},
url={https://github.com/YOUR_USERNAME/triage}
}License
Apache 2.0 — see LICENSE file.
