{
  "id": 3354,
  "url": "https://arxiv.org/abs/2606.01094v1",
  "title": "CAREAgent: Clinical Agent with Structured Reasoning and Tool-Integrated for Order Generation",
  "summary": "Clinical order generation serves as a critical bridge between clinical decision-making and real-world practice, translating medical decisions into concrete and executable orders. Existing agents mainly focus on coarse-grained decisions and overlook the fine-grained, executable information required for clinical orders. To address this gap, we propose CAREAgent, an agent for clinical order generation. To support its training, we introduce a two-stage agentic reasoning data construction method. Fir",
  "authors": "Ruihui Hou, Ziyue Huai, Chennuo Zhang, Ziyan Liu, Siran Zhao, Yao Yu et al.",
  "category": "research",
  "topics": "healthcare,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-31T08:31:36.000Z",
  "fetched_at": "2026-07-14T16:30:09.963Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3354",
  "original_url": "https://arxiv.org/abs/2606.01094v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}