Researchers have developed CareConnect, a novel conversational agent designed to automate healthcare logistics using large language models (LLMs). This agent leverages function calling, retrieval-augmented generation (RAG), and deterministic safety guardrails to manage tasks like appointment booking, modification, and cancellation. The system demonstrated a 91.8% task completion rate and 96.0% safety compliance in evaluations, with an average operational cost of $0.0324 per appointment, significantly reducing manual scheduling expenses. AI
IMPACT This development demonstrates the potential for LLM agents to significantly improve efficiency and reduce costs in healthcare operations.
RANK_REASON The cluster contains a research paper detailing a new LLM application.
- alphaXiv
- arXiv
- CatalyzeX
- DagsHub
- Gotit.pub
- Hugging Face
- large language model
- retrieval-augmented generation
- ScienceCast
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