Health Analytics as a Service with Artemis Cloud: Service Availability

McGregor, Carolyn; Inibhunu, Catherine; Glass, Jonah; Doyle, Ian; Gates, Aaron; Madill, John; Pugh, James E

doi:10.1109/embc44109.2020.9176507

Cited by 12 publications

(7 citation statements)

References 12 publications

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“…The Artemis platform makes use of the Vines device connectivity software to enable Data Acquisition from medical devices within neonatal ICUs [19]. Vines utilises Rab-bitMQ.…”

Section: Fig 2 a Research Organisation Utilising Data From Two Different Healthcare Providersmentioning

confidence: 99%

Introducing a Conceptual Framework for Architecting Healthcare 4.0 Systems

Novaković

Marshall

McGregor

2021

Transactions on Computational Science and Computational Intelligence

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There is an enormous number of healthcare analytics applications in existence which have been embedded into healthcare systems with varying degrees of success. One of the key challenges is their need for access to sensitive patient data in a healthcare system that has a multitude of healthcare applications. This paper introduces a new theoretical framework as an architecture in which Healthcare 4.0 applications can operate. The framework proposes using Apache Kafka as the core technology for creating data integration pipelines with the goal being to bring standardisation into the healthcare systems. The architecture offers a safe and secure environment in which multiple applications and algorithms from different organisations can seamlessly co-exist.

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“…The Artemis platform makes use of the Vines device connectivity software to enable Data Acquisition from medical devices within neonatal ICUs [19]. Vines utilises Rab-bitMQ.…”

Section: Fig 2 a Research Organisation Utilising Data From Two Different Healthcare Providersmentioning

confidence: 99%

Introducing a Conceptual Framework for Architecting Healthcare 4.0 Systems

Novaković

Marshall

McGregor

2021

Transactions on Computational Science and Computational Intelligence

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“…In that initial deployment, the Artemis Platform was located on computing equipment within the hospital. It has been and continues to be demonstrated within the context of its use in neonatal intensive care units (NICUs) that provide care for premature and ill term infants [2], [3], [7].…”

Section: Online Health Analytics During Spaceflightmentioning

confidence: 99%

“…Within the current Artemis Cloud deployment [6], [7], Vines is used to manage data message queues, buffering and transmission. Vines utilizes Rabbit MQ.…”

Section: Data Buffering and Data Transmissionmentioning

confidence: 99%

“…All Artemis, Artemis Cloud and Athena Cloud deployments to date use IBM DB2 for data storage [3], [6], [7] as the data is highly structured and the critical systems nature requires a high level of reliability and availability. In our initial prototype we will utilize IBM DB2 for the Data Storage layer.…”

Section: Data Storagementioning

confidence: 99%

“…The provision of Health Analytics as a Service via Artemis Cloud through a cloud based version of Artemis has been demonstrated [5]- [7]. Addressing the current limitations of space data transmission approaches and doing so with suitable bandwidth will enable paradigm changing approaches for the provision of human health monitoring and equipment prognostic and health monitoring in space and in particular, beyond LEO, as a service from Earth.…”

Section: Introductionmentioning

confidence: 99%

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A Platform for Real-Time Space Health Analytics as a Service Utilizing Space Data Relays

McGregor

2021

2021 IEEE Aerospace Conference (50100)

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The health, wellness and adaptation response of astronauts during spaceflight is a key component for the success of any manned mission. Physiological and psychological responses of astronauts during spaceflight have been monitored from the first manned missions sixty years ago. However, limited communication networks to and within the spacecraft have limited methods to monitor the health, wellness and adaptation response of astronauts in real-time. This has resulted in a paradigm of astronaut monitoring as discontinuous samplings of physiological data that are captured on board the spacecraft and transported to Earth on storage devices for retrospective down sampled analysis. In 2009, as part of prior research, McGregor proposed a big data analytics framework and platform, that enables the capture and processing of physiological data and other clinical data in real-time for new approaches to real-time health monitoring. The platform, was named the Artemis platform after the Greek goddess of childbearing as the first domain it was used was neonatal intensive care. Its efficacy and reliability as a new approach for real-time health monitoring has been demonstrated in the critical care domain and specifically within the domain of neonatal intensive care. McGregor previously proposed the application of Artemis as an approach for autonomous health monitoring within the spacecraft to support missions within and beyond low Earth orbit. This would enable sophisticated realtime health, wellness and adaptation assessment that did not require the transmission of data beyond the spacecraft. Artemis Cloud has been proposed as a cloud-based approach to provide remote health monitoring. Artemis Cloud enables Health Analytics as a Service and has been demonstrated utilizing the Ontario Research and Innovation Optical Network (ORION) in Ontario and Artemis Cloud instances located at the Compute Ontario advanced research computing node within the Centre for Advanced Computing, Queen's University, Ontario providing remote health monitoring of neonatal intensive care patients at two hospitals in Ontario, Canada.There is great potential for this Health Analytics as a Service model enabled through Artemis Cloud to support the assessment of health, wellness and adaptation response of astronauts in space, however, robust and reliable networks are required. The next stage of space exploration will see unmanned missions using robots that will require prognostics and health management. This will be followed by manned lunar orbiters, Moon bases and Mars missions that will all require the support of health, wellness and adaptation assessment of astronauts engaged in those missions. Deep space hybrid radio frequency and optical networks have great potential to address the current gap in space communication networks. This paper presents a framework and infrastructure to enable real-time equipment monitoring for prognostics and health management and astronaut health monitoring through cloud-based Health Analytics as a Service utilizing space da...

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Frameworks and Platforms for Extreme Environments Adaptation and Resilience Monitoring

McGregorAM

Cibis

2022

Engineering and Medicine in Extreme Environments

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Health Analytics as a Service with Artemis Cloud: Service Availability

Cited by 12 publications

References 12 publications

Introducing a Conceptual Framework for Architecting Healthcare 4.0 Systems

Introducing a Conceptual Framework for Architecting Healthcare 4.0 Systems

A Platform for Real-Time Space Health Analytics as a Service Utilizing Space Data Relays

Frameworks and Platforms for Extreme Environments Adaptation and Resilience Monitoring

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