论文部分内容阅读
选取医院信息系统(HIS)和病案管理系统2015年用于统计临床路径指标的数据,通过构建关联字段并结合EXCEL的VLOOKUP函数进行数据整合。总结数据整合过程中的问题,找出解决措施分析解决效果,采用描述性统计分析方法。在两系统数据整合过程会出现匹配错误,主要是三种问题造成的:合号问题、假入院问题和出院时间问题。2015年系统入径数据中,有合号问题的数据占1.94%,有假入院问题的数据占0.17%,有出院时间问题的数据占0.04%。问题出现原因分别为:同一住院患者多号合并;离院后系统留痕;凌晨出院时间差或误用召回时间。通过HIS、病案系统、电子病历系统等多系统核查的方式进行修正。这种数据整合的方式不仅确保数据质量,还能提高工作效率,有利于医院管理层及时掌握临床路径实施过程中出现的问题,采取有效措施,不断提高医院管理质量。
The HIS and the medical records management system were used to collect the data of clinical path indicators in 2015, and the data were integrated by constructing association fields and combining VLOOKUP function of EXCEL. Summarize the data integration process, find out the solution to the effect of analysis and resolution, the use of descriptive statistical analysis. In the two systems data integration process there will be matching errors, mainly caused by three problems: number issue, leave the issue of admission and discharge time. In 2015, system data included 1.94% of the data with the compound problem, 0.17% with the data of the fake admission and 0.04% of the data with the discharge time. The reasons for the problems are as follows: the same number of hospitalized patients with multiple merger; left after leaving the hospital system marks; early discharge time difference or misuse of recall time. Through the HIS, medical record system, electronic medical record system and other multi-system verification methods to be amended. This method of data integration not only ensures data quality but also improves work efficiency, which helps the hospital management to grasp the problems that occur during the implementation of the clinical pathway and take effective measures to continuously improve the quality of hospital management.