Blockchain-based Framework for Medical Data Management

AUTHORS

Sang Young Lee,Namseoul University, Korea

ABSTRACT

The advantage of introducing blockchain is that it can deliver data to members while maintaining the security of medical data sensitive to personal privacy. That is, by using a blockchain in the ecosystem of medical information, it is possible to connect the insurer, the health care organization, and the patient. The blockchain provides health data efficiently and increases accuracy and efficiency when changing patient data through the health system. In addition, it improves the efficiency and control of medical environment paradigm and health services. This paper suggested the framework with functions to support clinical decision making more efficiently using blockchain technology and FHIR data standards. This framework is built on the FHIR, which is designed to be provided to patients. In addition, it complements and uses open key encryption technology and meets the key requirements required in interoperability functions, such as user identification/authentication, secure data exchange, and authorized data. In particular, it provides further secure data exchange method aiming access guarantee, consistent data format and system modularity.

 

KEYWORDS

Blockchain, Framework, Medical data, Management

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CITATION

  • APA:
    Lee,S.Y.(2019). Blockchain-based Framework for Medical Data Management . International Journal of Advanced Research in Big Data Management System, 3(2), 31-36. 10.21742/IJARBMS.2019.3.2.05
  • Harvard:
    Lee,S.Y.(2019). "Blockchain-based Framework for Medical Data Management ". International Journal of Advanced Research in Big Data Management System, 3(2), pp.31-36. doi:10.21742/IJARBMS.2019.3.2.05
  • IEEE:
    [1] S.Y.Lee, "Blockchain-based Framework for Medical Data Management ". International Journal of Advanced Research in Big Data Management System, vol.3, no.2, pp.31-36, Nov. 2019
  • MLA:
    Lee Sang Young. "Blockchain-based Framework for Medical Data Management ". International Journal of Advanced Research in Big Data Management System, vol.3, no.2, Nov. 2019, pp.31-36, doi:10.21742/IJARBMS.2019.3.2.05

ISSUE INFO

  • Volume 3, No. 2, 2019
  • ISSN(p):2208-1674
  • ISSN(e):2208-1682
  • Published:Nov. 2019

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