Can AI agents improve sepsis care?
Application of MATEC (Multi-AI Agent Team Care) Framework in Sepsis Care
March 24, 2025
https://arxiv.org/pdf/2503.16433This paper explores using a team of specialized AI agents (MATEC) to improve sepsis care, particularly in under-resourced hospitals. The MATEC framework includes AI agents representing various medical specialists, nurses, pharmacists, and other healthcare professionals. These agents collaborate to diagnose, create treatment plans, identify care gaps, and address social determinants of health.
Key points for LLM-based multi-agent systems:
- Specialized Agents: Each AI agent has a specific role and expertise, allowing for a modular and scalable system.
- Collaboration & Consensus: Agents collaborate, share information, and reach consensus on diagnosis and treatment, mimicking real-world medical teams.
- Care Gap Analysis: Agents can identify gaps in existing care plans, suggesting improvements and highlighting potential issues.
- SDOH Integration: The system incorporates social determinants of health through a dedicated social worker agent.
- Multi-Agent Fact Verification: Agents review each other's outputs to minimize hallucinations and errors.
- Structured Prompts: Pre-defined question templates improve the usefulness and consistency of agent responses.
- Potential for Integration with EHRs: Future development aims to integrate the framework with electronic health records.
- Advantages over Single LLM: Multi-agent systems offer improved scalability, resistance to model drift, and reduced hallucinations compared to single LLMs.