Big Data has been vastly applied in sports domain while Big Data in IoE in healthcare has only recently started gaining traction. Sophisticated IoE devices are now able to process Big Data in order to monitor undesirable events through real-time alerting such as crash of vital signs with wearable wireless sensors, domestic accidents involving elderly people, or assist in predicting and monitoring outbreaks of various diseases which may put at risk public health as a whole. Due to the multidimensional nature of healthcare emergencies, the use of Big Data in such emergencies poses a number questions, not only with respect to the precise definition of an emergency, the agencies involved, the procedures used, but also questions with respect to securing privacy and the right to health in such emergencies without hindering the potential benefits of the development of Big Data solutions within healthcare sector.

Big Data in IoE: investigating IT approaches to Big Data in healthcare whilst ensuring the competing interests of the right to health and the right to privacy

Gerybaite Aiste
Writing – Original Draft Preparation
2020

Abstract

Big Data has been vastly applied in sports domain while Big Data in IoE in healthcare has only recently started gaining traction. Sophisticated IoE devices are now able to process Big Data in order to monitor undesirable events through real-time alerting such as crash of vital signs with wearable wireless sensors, domestic accidents involving elderly people, or assist in predicting and monitoring outbreaks of various diseases which may put at risk public health as a whole. Due to the multidimensional nature of healthcare emergencies, the use of Big Data in such emergencies poses a number questions, not only with respect to the precise definition of an emergency, the agencies involved, the procedures used, but also questions with respect to securing privacy and the right to health in such emergencies without hindering the potential benefits of the development of Big Data solutions within healthcare sector.
2020
Proceedings of the 1st Doctoral Consortium at the European Conference on Artificial Intelligence (DC-ECAI 2020)
65
66
Gerybaite Aiste
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/772061
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