The quality concerns in health care Big Data

被引:0
|
作者
Molinari, Andrea [1 ]
Nollo, Giandomenico [2 ]
机构
[1] Univ Trento, Dept Ind Engn, Trento, Italy
[2] Univ Trento, Dept Ind Engn, BIOtech Labs, Trento, Italy
关键词
Big Data; Analytics; healthcare quality; entity reconciliation; SENSORS;
D O I
10.1109/melecon48756.2020.9140534
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:302 / 305
页数:4
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