临床决策支持系统预警提示功能设计与实现

Design and Implementation of the Early Warning Function of Clinical Decision Support System

目的:在现有对检验/检查结果预警、合理用药监测等应用基础上,实现在患者诊疗过程中对其病情变化的实时预警,以提高医疗质量、减少医疗差错。方法:利用大数据及人工智能技术,在临床指南及海量历史病历等数据基础上,构建临床预警规则库,在患者诊疗过程中根据病情变化进行实时匹配,及时触发预警。结果:通过基于临床决策支持系统的预警提示功能,可实现诊断预警、检验预警、检查预警、药品预警、治疗预警、合理用药等6类预警。结论:临床预警提示的应用,可最大限度避免临床出现不合理处置、不合理用药、医疗任务疏漏等情况,最终达到提升医疗质量、保障患者安全的目的。

Objective: To realize the real-time early warning of patient’s changes of the illness in the process of diagnosis and treatment based on the existing applications such as early warning of test/examination results and monitoring of rational drug use, so as to improve medical quality and reduce medical errors. Methods: Big data and artificial intelligence technology are used to build the database of clinical early warning rules based on data such as clinical guidelines and massive historical medical records. The realtime matching is completed according to the changes of patient’s conditions during diagnosis and treatment to trigger early warning in a timely manner. Results: Six kinds of early warning including early warning of diagnosis, early warning of test, early warning of examination, early warning of medicine, early warning of treatment and rational drug use can be realized through the early warning function based on the clinical decision support system. Conclusion: The application of clinical early warning can minimize the occurrence of clinical unreasonable disposal, unreasonable drug use, medical task omissions, etc., and ultimately achieve the purpose of improving the medical quality and ensuring patient safety.