{"title":"为改进而测量。","authors":"A. Siriwardena, S. Gillam","doi":"10.4135/9781446214275.n7","DOIUrl":null,"url":null,"abstract":"This is the fourth in a series of articles about the science of quality improvement. We examine what to measure, how to measure and some important measurement techniques, such as run charts, control charts and funnel plots. These help us to understand healthcare processes, to assess whether they are stable or improving and to determine how they can be improved further.","PeriodicalId":88096,"journal":{"name":"Quality in primary care","volume":"72 1","pages":"293-301"},"PeriodicalIF":0.0000,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Measuring for improvement.\",\"authors\":\"A. Siriwardena, S. Gillam\",\"doi\":\"10.4135/9781446214275.n7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This is the fourth in a series of articles about the science of quality improvement. We examine what to measure, how to measure and some important measurement techniques, such as run charts, control charts and funnel plots. These help us to understand healthcare processes, to assess whether they are stable or improving and to determine how they can be improved further.\",\"PeriodicalId\":88096,\"journal\":{\"name\":\"Quality in primary care\",\"volume\":\"72 1\",\"pages\":\"293-301\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quality in primary care\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4135/9781446214275.n7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quality in primary care","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4135/9781446214275.n7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This is the fourth in a series of articles about the science of quality improvement. We examine what to measure, how to measure and some important measurement techniques, such as run charts, control charts and funnel plots. These help us to understand healthcare processes, to assess whether they are stable or improving and to determine how they can be improved further.