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Intelligent Health Care Data Management Using Blockchain: Current Limitation and Future Research Agenda

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Heterogeneous Data Management, Polystores, and Analytics for Healthcare (DMAH 2019, Poly 2019)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11721))

Abstract

Health care is undergoing a big data revolution, with vast amounts of information supplied from numerous sources, leading to major paradigm shifts including precision medicine and AI-driven health care among others. Yet, there still exist significant barriers before such approaches could be adopted in practice, including data integration and interoperability, data sharing, security and privacy protection, scalability, and policy and regulatory issues. Blockchain provides a unique opportunity to tackle major challenges in health care and biomedical research, such as enabling data sharing and integration for patient-centered care, data provenance allowing verification authenticity of the data, and optimization of some of the health care processes among others. Nevertheless, technological constraints of current blockchain technologies necessitate further research before mass adoption of blockchain-based health care data management is possible. We analyze context-based requirements and capabilities of the available technology and propose a research agenda and new approaches towards achieving intelligent health care data management using blockchain.

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Author information

Authors and Affiliations

  1. Lucerne University of Applied Sciences and Arts, Lucerne, Switzerland

    Alevtina Dubovitskaya

  2. Swisscom, Bern, Switzerland

    Alevtina Dubovitskaya

  3. IBM T.J. Watson Research Center, Yorktown Heights, NY, USA

    Petr Novotny

  4. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Scott Thiebes & Ali Sunyaev

  5. University of Applied Sciences and Arts, Western Switzerland, Sierre, Switzerland

    Michael Schumacher

  6. Stony Brook University Hospital, Stony Brook, USA

    Zhigang Xu

  7. Stony Brook University, Stony Brook, USA

    Fusheng Wang

Authors
  1. Alevtina Dubovitskaya
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  2. Petr Novotny
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  3. Scott Thiebes
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  4. Ali Sunyaev
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  5. Michael Schumacher
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  6. Zhigang Xu
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  7. Fusheng Wang
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Corresponding author

Correspondence to Alevtina Dubovitskaya .

Editor information

Editors and Affiliations

  1. Massachusetts Institute of Technology, Lexington, MA, USA

    Vijay Gadepally

  2. Intel Corporation, Portland, OR, USA

    Timothy Mattson

  3. Massachusetts Institute of Technology, Cambridge, MA, USA

    Michael Stonebraker

  4. Stony Brook University, Stony Brook, NY, USA

    Fusheng Wang

  5. University of Washington, Seattle, WA, USA

    Gang Luo

  6. Google, Mountain View, CA, USA

    Yanhui Laing

  7. Lucerne University of Applied Sciences, Rotkreuz, Switzerland

    Alevtina Dubovitskaya

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Dubovitskaya, A. et al. (2019). Intelligent Health Care Data Management Using Blockchain: Current Limitation and Future Research Agenda. In: Gadepally, V., et al. Heterogeneous Data Management, Polystores, and Analytics for Healthcare. DMAH Poly 2019 2019. Lecture Notes in Computer Science(), vol 11721. Springer, Cham. https://doi.org/10.1007/978-3-030-33752-0_20

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  • DOI: https://doi.org/10.1007/978-3-030-33752-0_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33751-3

  • Online ISBN: 978-3-030-33752-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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