AI 驱动 医疗保健 运营

Example: 患者 flow and bed management jobs are segmented into rule-checkable events (admit/transfer thresholds, discharge criteria) and model-needed cases (complex comorbidity risk, surge prediction). Most routing goes to 确定性引擎 and existing HIS/EMR logic. 高-volume patterns (recurring delay signatures, common triage profiles) are distilled into small specialist models. The final orchestration, alerts, audit logs, and compliance reports run as fully detached 系统 on hospital infrastructure — zero token cost after deployment.