Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Apr 19, 2020
Date Accepted: Jul 19, 2020
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Blockchain in healthcare innovation: A literature review and case study from business ecosystem perspective
ABSTRACT
Background:
Blockchain technology is leveraging its innovative potentials in various sections and the transformation of how business-related processes has drawn wide attention. Topics of research interest have been focused on medical and healthcare applications while research implications are generally concluded in system design, literature review and case studies. However, a general overview and impact on healthcare ecosystem is limited.
Objective:
This paper explores potential paradigm shift and ecosystem evolution in healthcare utilizing blockchain technology.
Methods:
A literature review with case study on pioneering initiative were conducted. With a systematic lifecycle analysis, this study shed light on evolutional development of blockchain in healthcare scenarios and interactive relationship among stakeholders.
Results:
Four stages, birth, expansion, leadership, and self-renewal or death, in the life cycle of the ecosystem were explored to elucidate evolving trajectories on blockchain-based healthcare implementation. Focused impacts on traditional healthcare industry are highlighted in each stages to further conclude potential healthcare paradigm shift in the future.
Conclusions:
This paper contributes to the understanding of blockchain innovation in healthcare ecosystem. The collaborative network linked by blockchain may play critical roles on value creation, transfer, and sharing among healthcare community. Future efforts may focus on empirical or case studies to validate proposed evolution of healthcare ecosystem.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.