报告题目：

群智驱动的医生高风险行为协同监管

Swarm Intelligence-Driven Collaborative Supervision of High-Risk Behaviors Among Healthcare Providers

报告摘要：

This report introduces a Swarm Intelligence-Driven Collaborative Supervision Scheme for Doctors' High-Risk Behaviors. The framework comprises three core models: 1. A multi-objective swarm intelligence-optimized supervision model for outpatient prescriptions 2. A two-phase inpatient supervision model integrating collaborative evolution and temporal pattern recognition 3. A regionally coordinated supervision mechanism based on interactive swarm optimization By deeply integrating swarm intelligence with machine learning algorithms, the scheme not only provides explainable and evidence-based identification of high-risk behaviors but also incorporates federated learning to establish a cross-regional collaborative supervision framework. This ensures "data localization with encrypted parameter exchange," aligning with the hierarchical structure of healthcare insurance systems to form a reliable technical framework for medical insurance supervision.