医院多部门协同构建知识库-指南库-预测模型三维网络路径研究

Abstract

The clinical application of medical artificial intelligence is facing the dual challenges of “technical silos” and “clinical disconnect”. To bridge this gap, this study proposes a three-dimensional network pathway of “knowledge base-guideline database-predictive model”, which integrates a dynamic medical knowledge base, an evidence-based guideline database, and a clinical predictive model through a multi-sectoral collaborative mechanism. Drawing on the knowledge graph community retrieval technology of the KARE framework, the private deployment experience of the Thrombosis AI Intel