[2603.00460] MED-COPILOT: A Medical Assistant Powered by GraphRAG and Similar Patient Case Retrieval

Computer Science > Artificial Intelligence arXiv:2603.00460 (cs) [Submitted on 28 Feb 2026] Title:MED-COPILOT: A Medical Assistant Powered by GraphRAG and Similar Patient Case Retrieval Authors:Shuheng Chen, Namratha Patil, Haonan Pan, Angel Hsing-Chi Hwang, Yao Du, Ruishan Liu, Jieyu Zhao View a PDF of the paper titled MED-COPILOT: A Medical Assistant Powered by GraphRAG and Similar Patient Case Retrieval, by Shuheng Chen and 6 other authors View PDF HTML (experimental) Abstract:Clinical decision-making requires synthesizing heterogeneous evidence, including patient histories, clinical guidelines, and trajectories of comparable cases. While large language models (LLMs) offer strong reasoning capabilities, they remain prone to hallucinations and struggle to integrate long, structured medical documents. We present MED-COPILOT, an interactive clinical decision-support system designed for clinicians and medical trainees, which combines guideline-grounded GraphRAG retrieval with hybrid semantic-keyword similar-patient retrieval to support transparent and evidence-aware clinical reasoning. The system builds a structured knowledge graph from WHO and NICE guidelines, applies community-level summarization for efficient retrieval, and maintains a 36,000-case similar-patient database derived from SOAP-normalized MIMIC-IV notes and Synthea-generated records. We evaluate our framework on clinical note completion and medical question answering, and demonstrate that it consistently outp...