{"title":"Influence of Medical Record Home Page Writing on DRGs","authors":"Caihua Liu, Yongjun Xia, J. Qiu","doi":"10.3109/23256176.2013.882568","DOIUrl":null,"url":null,"abstract":"AbstractObjective. To formulate corresponding management measures in response to the analysis on factors influencing the quality of DRGs raw data extraction, thereby achieving the ehffect of promoting the data quality of the medical record home page. Method. Some missing items in the collected medical record home page and actual problems in the DRGs grouping process are analyzed in a statistical manner. Result. The data analysis shows that the non-filling of medical record home page information, inconsistent transfer information of those with severe illness, and nonstandard writing of the diagnosis directly affect the quality of DRGs platform data extraction and the delayed grouping. After improvement measures are adopted, the status of some items which were not filled in the medical record home page is obviously improved in the fourth quarter compared with that in the third quarter, wherein the rate of omission in filling surgical levels decreases dramatically, from 12.34% to 9.26%, and the X2 statistica...","PeriodicalId":163748,"journal":{"name":"Chinese Medical Record English Edition","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Medical Record English Edition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3109/23256176.2013.882568","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
AbstractObjective. To formulate corresponding management measures in response to the analysis on factors influencing the quality of DRGs raw data extraction, thereby achieving the ehffect of promoting the data quality of the medical record home page. Method. Some missing items in the collected medical record home page and actual problems in the DRGs grouping process are analyzed in a statistical manner. Result. The data analysis shows that the non-filling of medical record home page information, inconsistent transfer information of those with severe illness, and nonstandard writing of the diagnosis directly affect the quality of DRGs platform data extraction and the delayed grouping. After improvement measures are adopted, the status of some items which were not filled in the medical record home page is obviously improved in the fourth quarter compared with that in the third quarter, wherein the rate of omission in filling surgical levels decreases dramatically, from 12.34% to 9.26%, and the X2 statistica...