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How Blockchain Could Empower eHealth: An Application for Radiation Oncology

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Data Management and Analytics for Medicine and Healthcare (DMAH 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10494))

Abstract

Electronic medical records (EMRs) contain critical, highly sensitive private healthcare information, and need to be frequently shared among peers. Blockchain provides a shared, immutable and transparent history of all the transactions to build applications with trust, accountability and transparency. This provides a unique opportunity to develop a secure and trustable EMR data management and sharing system using blockchain. In this paper, we discuss our perspectives on blockchain based healthcare data management and present a prototype of a framework for managing and sharing EMR data for cancer patient care.

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References

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Author information

Authors and Affiliations

  1. University of Applied Sciences Western Switzerland (HES-SO), Sierre, VS, Switzerland

    Alevtina Dubovitskaya & Michael Schumacher

  2. École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, VD, Switzerland

    Alevtina Dubovitskaya

  3. Stony Brook Medicine, Stony Brook, NY, USA

    Zhigang Xu & Samuel Ryu

  4. Stony Brook University (SBU), Stony Brook, NY, USA

    Fusheng Wang

Authors
  1. Alevtina Dubovitskaya
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  2. Zhigang Xu
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  3. Samuel Ryu
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  4. Michael Schumacher
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  5. Fusheng Wang
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Corresponding author

Correspondence to Alevtina Dubovitskaya .

Editor information

Editors and Affiliations

  1. Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA

    Edmon Begoli

  2. Stony Brook University, Stony Brook, New York, USA

    Fusheng Wang

  3. University of Washington, Seattle, Washington, USA

    Gang Luo

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© 2017 Springer International Publishing AG

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Dubovitskaya, A., Xu, Z., Ryu, S., Schumacher, M., Wang, F. (2017). How Blockchain Could Empower eHealth: An Application for Radiation Oncology. In: Begoli, E., Wang, F., Luo, G. (eds) Data Management and Analytics for Medicine and Healthcare. DMAH 2017. Lecture Notes in Computer Science(), vol 10494. Springer, Cham. https://doi.org/10.1007/978-3-319-67186-4_1

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  • DOI: https://doi.org/10.1007/978-3-319-67186-4_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67185-7

  • Online ISBN: 978-3-319-67186-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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