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Comparison of blockchain platforms: a systematic review and healthcare examples.


ABSTRACT: OBJECTIVES:To introduce healthcare or biomedical blockchain applications and their underlying blockchain platforms, compare popular blockchain platforms using a systematic review method, and provide a reference for selection of a suitable blockchain platform given requirements and technical features that are common in healthcare and biomedical research applications. TARGET AUDIENCE:Healthcare or clinical informatics researchers and software engineers who would like to learn about the important technical features of different blockchain platforms to design and implement blockchain-based health informatics applications. SCOPE:Covered topics include (1) a brief introduction to healthcare or biomedical blockchain applications and the benefits to adopt blockchain; (2) a description of key features of underlying blockchain platforms in healthcare applications; (3) development of a method for systematic review of technology, based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement, to investigate blockchain platforms for healthcare and medicine applications; (4) a review of 21 healthcare-related technical features of 10 popular blockchain platforms; and (5) a discussion of findings and limitations of the review.

SUBMITTER: Kuo TT 

PROVIDER: S-EPMC7787359 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Comparison of blockchain platforms: a systematic review and healthcare examples.

Kuo Tsung-Ting TT   Zavaleta Rojas Hugo H   Ohno-Machado Lucila L  

Journal of the American Medical Informatics Association : JAMIA 20190501 5


<h4>Objectives</h4>To introduce healthcare or biomedical blockchain applications and their underlying blockchain platforms, compare popular blockchain platforms using a systematic review method, and provide a reference for selection of a suitable blockchain platform given requirements and technical features that are common in healthcare and biomedical research applications.<h4>Target audience</h4>Healthcare or clinical informatics researchers and software engineers who would like to learn about  ...[more]

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