Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: May 31, 2020
Date Accepted: Oct 30, 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Warning: This is an author submission that is not peer-reviewed or edited.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 and IoT: a Conceptual Framework for a Blockchain Consent Platform in Active Assisted Living
ABSTRACT
Background:
Recent advancements in Active Assisted Living (AAL) technologies allow older adults to successfully age in place. However, sensing technologies increase the complexity of data collection points, making it difficult for users to consent to data collection. One possible solution for improving transparency in the consent management process is through blockchain, an immutable and timestamped ledger.
Objective:
Provide a conceptual framework, based on blockchain technology, aimed at mitigating trust issues in the consent management process.
Methods:
The consent management process was modelled using established methodologies to obtain a mapping of trust issues. Such map was then used to develop a conceptual framework based on previous monitoring and surveillance architectures for connected devices.
Results:
In this article, we present (a) our model that maps trust issues in the informed consent process; (b) a conceptual framework capable of providing all the necessary underlining technologies, components, and functionalities required to develop applications capable of managing the process of informed consent for AAL, powered by blockchain technology to ensure transparency; c) a diagram showing an instantiation of the framework with entities comprising the participants
Conclusions:
Our conceptual framework provides all the necessary components and technologies that must be present to enhance the informed consent process. blockchain technology can improve on several privacy challenges and mitigate trust issues currently present in the consent management process of data collection involving AAL technologies.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
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.