Abstract
Nowadays, we are observing a massive digitalization of clinical tasks in Hospital Information Systems (HIS). Even more medical devices belongs to Internet of Things (IoT) applications that generate a huge amount of clinical data. Therefore, the healthcare industry is looking at modern big data storage, processing and analytics technologies. In this context, traditional HIS presents several issues, such as a mismanagement of data generated from medical devices. Starting from the experience of IRCCS Centro Neurolesi “Bonino Pulejo” placed in Messina (Italy), i.e., a clinical and research center, in this paper, we motivate the need to move traditional HIS into an innovative infrastructure based on the Osmotic computing paradigm. In particular, studying the healthcare domain, we specifically focus on production and research tasks.
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References
Big Data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute, June 2011
OECD, Health spending (indicator) (2016). http://dx.doi.org/10.1787/8643de7e-en
How big data is changing healthcare. https://goo.gl/R0RIOb
Celesti, A., Peditto, N., Verboso, F., Villari, M., Puliafito, A.: Draco paas: a distributed resilient adaptable cloud oriented platform. In: 2013 IEEE International Symposium on Parallel Distributed Processing, Workshops and Phd Forum, pp. 1490–1497, May 2013
Celesti, A., Fazio, M., Giacobbe, M., Puliafito, A., Villari, M.: Characterizing cloud federation in IoT. In: 2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 93–98, March 2016
Villari, M., Fazio, M., Dustdar, S., Rana, O., Ranjan, R.: Osmotic computing: a new paradigm for edge/cloud integration. IEEE Cloud Comput. 3(6), 76–83 (2016)
Enabling microservices: containers & orchestration explained, July 2016. https://www.mongodb.com/collateral/microservices-containers-and-orchestration-explained
Microservices: The evolution of building modern applications, July 2016. https://www.mongodb.com/collateral/microservices-the-evolution-of-building-modern-applications
He, C., Jin, X., Zhao, Z., Xiang, T.: A cloud computing solution for hospital information system. In: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, vol. 2, pp. 517–520, October 2010
Parane, K.A., Patil, N.C., Poojara, S.R., Kamble, T.S.: Cloud based intelligent healthcare monitoring system. In: 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), pp. 697–701, February 2014
John, N., Shenoy, S.: Health cloud - healthcare as a service (HaaS). In: 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 1963–1966, September 2014
Fazio, M., Bramanti, A., Celesti, A., Bramanti, P., Villari, M.: A hybrid storage service for the management of big e-health data: a tele-rehabilitation case of study. In: Proceedings of the 12th ACM Symposium on QoS and Security for Wireless and Mobile Networks, pp. 1–8 (2016)
Celesti, A., Maria, F., Romano, A., Bramanti, A., Bramanti, P., Villari, M.: An oais-based hospital information system on the cloud: analysis of a NoSQL column-oriented approach. IEEE J. Biomed. Health Inform. 99, 1 (2017)
Celesti, A., Celesti, F., Fazio, M., Bramanti, P., Villari, M.: Are next-generation sequencing tools ready for the cloud? In: Trends in Biotechnology (2017)
ownCloud. http://www.owncloud.org
The Big Big Data Workbook, Informatica (2016)
Swifts documentation. http://www.docs.openstack.org/developer/swift
Acknowledgment
The authors would like to thank IRCCS Centro Neurolesi “Bonino Pulejo” and all healthcare personnel that helped us during design and deploy of the infrastructure.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Carnevale, L. et al. (2018). Big Data HIS of the IRCCS-ME Future: The Osmotic Computing Infrastructure. In: Longo, A., et al. Cloud Infrastructures, Services, and IoT Systems for Smart Cities. IISSC CN4IoT 2017 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 189. Springer, Cham. https://doi.org/10.1007/978-3-319-67636-4_21
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DOI: https://doi.org/10.1007/978-3-319-67636-4_21
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