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From Big Data to Big Insights: The Role of Platforms in Healthcare IT

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New Perspectives in Medical Records

Part of the book series: TELe-Health ((TEHE))

Abstract

The transformations that have taken place in Information and Communication Technology in the past 20 years have given rise to a new form of scientific research paradigm where data-intensive, large-scale projects combine experiment, theory and computing to address fundamental questions about ourselves and our universe. The complexity of the data analysis infrastructures can be tackled by a clear separation of roles and responsibilities and by the implementation of public and commercial computing and data platforms governed by clear agreements. Biomedical and healthcare research and practice could benefit from a broader use of such platforms, hiding the technical complexity behind agreed service definitions and allowing researchers and medical doctors to focus on the data collection, interpretation and usage in the respect of the social and human value of the data and within reasonable, unbiased frameworks where medical research, clinical practice and modern information technologies can constructively interact with each other. This chapter describes the state of the art of data analytics platforms and suggests possible applications and benefits in healthcare while cautioning against excessively utopian scenarios.

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Notes

  1. 1.

    As a comparison, consider that, for example, in high energy physics, although volume and velocity are important parameters, variety is actually quite limited and variability is easy to predict or control.

References

  1. Hey T, Tansley S, Tolle K (eds) (2009) The fourth paradigm: data-intensive scientific discovery. Microsoft Research, Cambridge, UK

    Google Scholar 

  2. Laney D (2001) 3D data management: controlling data volume, velocity and variety. Gartner, Stamford, CT, USA

    Google Scholar 

  3. https://en.wikipedia.org/wiki/Content_delivery_network

  4. https://en.wikipedia.org/wiki/Named_data_networking

  5. Open Networking Foundation (2010) Software-defined networking: the new norm for networks. https://www.opennetworking.org/images/stories/downloads/sdn-resources/white-papers/wp-sdn-newnorm.pdf

  6. Veryard R (1984) Pragmatic data analysis. Blackwell Scientific Publications, Oxford

    Google Scholar 

  7. Dean J, Ghemawat S (2004) MapReduce: simplified data processing on large clusters. USENIX: OSDI’04: 6th Symposium on Operating Systems Design and Implementation, San Francisco

    Google Scholar 

  8. http://www.micron.com/about/innovations/automata-processing

  9. http://plato.stanford.edu/entries/qt-quantcomp/

  10. http://research.microsoft.com/en-US/events/wrsc2014/costa14rackscale.pdf

  11. https://wiki.openstack.org/wiki/Keystone/Federation/Blueprint

  12. https://root.cern.ch/

  13. https://www.r-project.org/about.html

  14. https://hadoop.apache.org/

  15. https://spark.apache.org/

  16. http://www.shogun-toolbox.org/

  17. http://mahout.apache.org/

  18. https://spark.apache.org/mllib/

  19. http://oryx.io/

  20. http://www.ibm.com/smarterplanet/us/en/ibmwatson/

  21. Memorial Sloan-Kettering Cancer Center, IBM to Collaborate in Applying Watson Technology to Help Oncologists (2012) http://www-03.ibm.com/press/us/en/pressrelease/37235.wss

  22. Hofstadter D (1995) Fluid concepts and creative analogies: computer models of the fundamental mechanisms of thought. Basic Books, New York, NY, USA

    Google Scholar 

  23. Jacq N et al (2008) Grid-enabled virtual screening against malaria. J Grid Comput 6(1):29–43

    Article  Google Scholar 

  24. http://www.md-paedigree.eu/about/

  25. Jones R (2015) Towards the European science cloud. CERN, Geneva. doi:10.5281/zenodo.16001

    Google Scholar 

  26. http://www.elixir-europe.org/

  27. http://www.biomedbridges.eu/

  28. https://www.etriks.org/

  29. http://transmartfoundation.org/

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Correspondence to Alberto Di Meglio .

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Di Meglio, A., Manca, M. (2017). From Big Data to Big Insights: The Role of Platforms in Healthcare IT. In: Rinaldi, G. (eds) New Perspectives in Medical Records. TELe-Health. Springer, Cham. https://doi.org/10.1007/978-3-319-28661-7_3

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  • DOI: https://doi.org/10.1007/978-3-319-28661-7_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28659-4

  • Online ISBN: 978-3-319-28661-7

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