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Enhancing EHR Systems Interoperability by Big Data Techniques

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Information Technology in Bio- and Medical Informatics (ITBAM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9832))

Abstract

Information management in healthcare is nowadays experiencing a great revolution. After the impressive progress in digitizing medical data by private organizations, also the federal government and other public stakeholders have also started to make use of healthcare data for data analysis purposes in order to extract actionable knowledge. In this paper, we propose an architecture for supporting interoperability in healthcare systems by exploiting Big Data techniques. In particular, we describe a proposal based on big data techniques to implement a nationwide system able to improve EHR data access efficiency and reduce costs.

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Notes

  1. 1.

    As a matter of fact, due to its quick result presentation, many users go through Google even if they exactly know the URLs of the resources they are interested in.

  2. 2.

    Yahoo!Directory is no longer active since 2014, however it is worth mentioning as it was one of the first services for massive assisted browsing.

  3. 3.

    http://hadoop.apache.org.

  4. 4.

    https://flume.apache.org/.

  5. 5.

    https://hbase.apache.org/.

  6. 6.

    http://lucene.apache.org/solr/.

  7. 7.

    http://ngdata.github.io/hbase-indexer/.

  8. 8.

    http://gethue.com/.

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Author information

Authors and Affiliations

  1. ICAR-CNR, Rende, Italy

    Nunziato Cassavia, Mario Ciampi, Giuseppe De Pietro & Elio Masciari

Authors
  1. Nunziato Cassavia
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  2. Mario Ciampi
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  3. Giuseppe De Pietro
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  4. Elio Masciari
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Corresponding author

Correspondence to Elio Masciari .

Editor information

Editors and Affiliations

  1. Institute of Informatics and Telematics , Pisa, Italy

    M. Elena Renda

  2. Czech Technical University in Prague , Prague 6, Czech Republic

    Miroslav Bursa

  3. Medical University Graz , Graz, Austria

    Andreas Holzinger

  4. San José State University , San Jose, California, USA

    Sami Khuri

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Cassavia, N., Ciampi, M., De Pietro, G., Masciari, E. (2016). Enhancing EHR Systems Interoperability by Big Data Techniques. In: Renda, M., Bursa, M., Holzinger, A., Khuri, S. (eds) Information Technology in Bio- and Medical Informatics. ITBAM 2016. Lecture Notes in Computer Science(), vol 9832. Springer, Cham. https://doi.org/10.1007/978-3-319-43949-5_3

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  • DOI: https://doi.org/10.1007/978-3-319-43949-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43948-8

  • Online ISBN: 978-3-319-43949-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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