基于智能分析引擎的静脉血栓风险管理系统

近年来，国家相关部门开始逐步重视VTE防治体系的建设和管理工作，修订完善了相关指南和管理建议，各级医疗机构也纷纷进行VTE防控信息化的探索。传统的VTE风险评估采用由医生经验判断或者填写纸质综合评估资料，也有部分医院在HIS系统嵌入评估表实现医护手动勾选评估，而本文采用自然语言处理方法，提取医疗信息系统里与风险因素有关的文本数据，结合评估规则库形成智能分析引擎，将静脉血栓栓塞风险管理电子化、智能化，达到静脉血栓评估、预防、诊断、治疗全过程的规范化管理。实现了医护信息系统无缝对接，评估筛查全覆盖，监控管理全覆盖，有效保障了患者安全，提升了医疗管理质量。

A Risk Management System of Venous Thrombosis Based on Intelligent Analysis Engine

In recent years, relevant national departments have gradually attached importance to the construction and management of the VTE prevention and control system, revised and improved relevant guidelines and management suggestions. Medical institutions at all levels have also explored VTE prevention and control informatization. The traditional VTE risk assessment makes judgement based on doctors’ experience or on paper-based comprehensive assessment data. Some hospitals embed assessment forms in their systems to realize manual checking assessment. This paper extracts the text data related to risk factors in the medical information system by utilizing the natural language processing method and forms an intelligent analysis engine in combination with the assessment rule base. The risk management of venous thromboembolism is electronized and intelligentized, so as to achieve the standardized management of the whole process of assessment, prevention, diagnosis, and treatment of venous thrombosis. It has realized the seamless connection of medical information system, full coverage of assessment and screening, full coverage of monitoring and management, which effectively guarantees the safety of patients and improves the quality of medical management.