半结构化电子病历数据的质控系统构建

目的:设计并实现一种可配置和可解析半结构化、高性能电子病历数据的病历质控系统.方法:通过对30条病历质控规则进行分析,设计通用的病历数据质控规则模型,并对两套技术栈解析半结构化文档的性能进行测试对比.基于规则模型和性能测试结果设计并实现病历数据质控系统.结果:病历数据质控规则具有良好的可配置性和扩展性,Node.js+...

Establishment of quality control system for semi-structured data of electronic medical records

bjective To design and implement a configurable and resolvable high performance quality control system for semi-structured data of electronic medical records (EMR). Methods A model of general quality control rules for semi-structured data of EMR was designed by analyzing 30 quality control rules for EMR. The performance of resolved semi-structured data files of EMR in two sets of technological stacks was compared. The quality control system for semi- structured data of EMR was designed and implemented based on the model of general quality control rules for semi-structure data of EMR. Results The quality control rules for semi-structured data of EMR showed a good configurability and expansibility. The resolvability of semi-structured data of EMR was significantly higher in Node js + xm12 js technological stack than in Java +J2EE+ SAXParser technological stack. The configurable high performance quality control system for structured data of EMR was designed and implemented based on the model of quality control rules for semi-structured data of EMR and technological stacks. Conclusion The quality control system for semi-semi-structured data of EMR based on the configurable quality control model for semi-structured data of EMR can avoid the development and maintenance pressure brought about by the change of rules. The performance of Node js is much better than that of traditional open architecture J2EE in resolving the semi-structured data of EMR.