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.
The quality concerns in health care Big Data / Molinari, A.; Nollo, G.. - (2020), pp. 302-305. (Intervento presentato al convegno 20th IEEE Mediterranean Electrotechnical Conference, MELECON 2020 tenutosi a June, Palermo, I nel 2020) [10.1109/MELECON48756.2020.9140534].
The quality concerns in health care Big Data
Molinari A.;Nollo G.
2020-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
