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e-Health Monitoring Applications: What about Data Quality?

Rodríguez Claudia C. Gutiérrez Michel Riveill 1
1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe RAINBOW
Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : Data quality analysis remains a difficult issue on several domains (e.g. geographic, software, databases, etc.). This is particularly the case on e-Health monitoring applications for chronic patients, where the need of data quality to ensure correct decision making is very important. Patients monitoring refers to a continuous observation of patient’s condition (physiological and physical) traditionally performed by one or several body sensors. In fact, significant actions and decisions are based on data coming from such sensors (e.g. remote diagnosis, consultations, hospitalization…). Providing high data quality helps to guarantee a correct processing and interpretation of information, as well as the appropriate intervention of medical services. In this paper, we explore the principles and issues of data quality in this particular domain providing primary research clues and motivation about this subject. We underline the necessity of the analysis of data quality on e-Health applications, especially concerning remote monitoring and assistance of patients with chronic diseases.
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Contributor : Michel Riveill <>
Submitted on : Tuesday, July 5, 2016 - 4:04:06 PM
Last modification on : Thursday, March 5, 2020 - 12:20:24 PM


  • HAL Id : hal-01342262, version 1



Rodríguez Claudia C. Gutiérrez, Michel Riveill. e-Health Monitoring Applications: What about Data Quality?. Health Ambient Information Systems Workshop 2011, May 2011, Gramado, Brazil. ⟨hal-01342262⟩



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