Health Analytics as a Service with Artemis Cloud: Service Availability Conferences

abstract

• Critical care units internationally contain medical devices that generate Big Data in the form of high speed physiological data streams. Great opportunities exist for systemic and reliable approaches for the analysis of high speed physiological data for clinical decision support. This paper presents the instantiation of a Big Data analytics based Health Analytics as-a-Service model. The availability results of the deployment of two instances of Artemis Cloud to support two neonatal ICUs (NICUs) in Ontario Canada are presented.

authors

• McGregor, Carolyn
• Inibhunu, Catherine
• Glass, Jonah
• Doyle, Ian
• Gates, Aaron
• Madill, John
• Pugh, Edward

status

• published 

publication date

• July 2020

has subject area

• Big Data (MeSH)
• Data Science (MeSH)
• Decision Support Systems, Clinical (MeSH)
• Ontario (MeSH)

published in

• Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings  Journal

presented at event

• 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society  Conference

keywords

• Big Data
• Data Science
• Decision Support Systems, Clinical
• Ontario

Digital Object Identifier (DOI)

• 10.1109/embc44109.2020.9176507

International Standard Book Number (ISBN) 13

• 9781728119908

PubMed ID

• 33019257

start page

• 5644

end page

• 5648

volume

• 2020