Journal
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL
Volume 16, Issue -, Pages 257-266Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.csbj.2018.06.004
Keywords
Activity data; Blockchain; Distributed ledger technologies; eHealth; Medical sensors; Remote monitoring; Wearable devices
Funding
- Office of Medical Student Research at Albert Einstein College of Medicine
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The on-demand digital healthcare ecosystem is on the near horizon. It has the potential to extract a wealth of information from big data collected at the population level, to enhance preventive and precision medicine at the patient level. This may improve efficiency and quality while decreasing cost of healthcare delivered by professionals. However, there are still security and privacy issues that need to be addressed before algorithms, data, and models can be mobilized safely at scale. In this paper we discuss how distributed ledger technologies can play a key role in advancing electronic health, by ensuring authenticity and integrity of data generated by wearable and embedded devices. We demonstrate how the Masked Authenticated Messaging extension module of the IOTA protocol can be used to securely share, store, and retrieve encrypted activity data using a tamper-proof distributed ledger. (c) 2018 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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