{"title":"医疗保健大数据中的质量问题","authors":"A. Molinari, G. Nollo","doi":"10.1109/MELECON48756.2020.9140534","DOIUrl":null,"url":null,"abstract":"Health information technology is showing an impressive growing interest towards Big Data. Big Data Analytics is expected to bring important achievements for building sophisticated models, methods and tools that are expected to improve healthcare services and citizen health and wellbeing. In spite of these expectations data quality and analytics methods are not getting the attention they deserve. In this short paper, we aimed to highlight the issues of data quality in the context of Big Data Healthcare Analytics. The common sources of errors, the consequence of these errors, and potential solutions that should be considered to mitigate errors and pitfalls are discussed in the healthcare context.","PeriodicalId":268311,"journal":{"name":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The quality concerns in health care Big Data\",\"authors\":\"A. Molinari, G. Nollo\",\"doi\":\"10.1109/MELECON48756.2020.9140534\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Health information technology is showing an impressive growing interest towards Big Data. Big Data Analytics is expected to bring important achievements for building sophisticated models, methods and tools that are expected to improve healthcare services and citizen health and wellbeing. In spite of these expectations data quality and analytics methods are not getting the attention they deserve. In this short paper, we aimed to highlight the issues of data quality in the context of Big Data Healthcare Analytics. The common sources of errors, the consequence of these errors, and potential solutions that should be considered to mitigate errors and pitfalls are discussed in the healthcare context.\",\"PeriodicalId\":268311,\"journal\":{\"name\":\"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MELECON48756.2020.9140534\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MELECON48756.2020.9140534","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Health information technology is showing an impressive growing interest towards Big Data. Big Data Analytics is expected to bring important achievements for building sophisticated models, methods and tools that are expected to improve healthcare services and citizen health and wellbeing. In spite of these expectations data quality and analytics methods are not getting the attention they deserve. In this short paper, we aimed to highlight the issues of data quality in the context of Big Data Healthcare Analytics. The common sources of errors, the consequence of these errors, and potential solutions that should be considered to mitigate errors and pitfalls are discussed in the healthcare context.