Abstract
Recent progression in health informatics data analysis has been impeded due to lack of hospital resources and computation power. To remedy this, some researchers have proposed a cloud-based web service patient monitoring system capable of providing offsite collection, analysis, and dissemination of remote patient physiological data. Unfortunately, some of these cloud services are not effective without utilizing next-generation hardware management techniques. In order to make cloud based patient monitoring a reality, this paper shows how leveraging an underlying platform-as-a-service (PaaS) cloud model can provide integration with web service patient monitoring systems while providing high availability, scalability, and security.
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References
McGregor C (2011) A cloud computing framework for real-time rural and remote service of critical care. Presented at computer-based medical systems (CBMS), 24th international symposium on 2011
McGregor C (2005) e-Baby web services to support local and remote neonatal intensive care. In: HIC 2005 and HINZ 2005: proceedings, health informatics society of Australia, p 344
McGregor C (2011) System, method and computer program for multi-dimensional temporal data mining. US Patient Office
McGregor C, Heath J, Wei M (2005) A web services based framework for the transmission of physiological data for local and remote neonatal intensive care. Data Management, Published by the IEEE Computer Society
Savolainen E Cloud service models
Finkelstein SM, Speedie SM, Potthoff S (2006) Home telehealth improves clinical outcomes at lower cost for home healthcare. Telemedicine J e-Health 12(2):128–136
CareCloud (2013) Carecloud, web-based medical practice management software, vol 2013, p 11
Lowe S (2011) Mastering VMware VSphere 5
Armbrust M, Fox A, Griffith R, Joseph AD, Katz R, Konwinski A, Lee G, Patterson D, Rabkin A, Stoica I (2010) A view of cloud computing. Commun ACM 53(4):50–58
Blount M, Ebling M, Eklund JM, James A, McGregor C, Percival N, Smith KP, Sow D (2010) Real-time analysis for intensive care. IEEE Eng Med Biol Mag 29(2):110–118
Mell P, Grance T (2011) The NIST definition of cloud computing (draft). NIST Special Publication 800, p 145
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© 2014 Springer Science+Business Media Dordrecht
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Hayes, G., El-Khatib, K., McGregor, C. (2014). Supporting Health Informatics with Platform-as-a-Service Cloud Computing. In: Huang, YM., Chao, HC., Deng, DJ., Park, J. (eds) Advanced Technologies, Embedded and Multimedia for Human-centric Computing. Lecture Notes in Electrical Engineering, vol 260. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7262-5_131
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DOI: https://doi.org/10.1007/978-94-007-7262-5_131
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