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Authenticating Health Activity Data Using Distributed Ledger Technologies

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 co...

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Detalles Bibliográficos
Autores principales: Brogan, James, Baskaran, Immanuel, Ramachandran, Navin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6071583/
https://www.ncbi.nlm.nih.gov/pubmed/30101004
http://dx.doi.org/10.1016/j.csbj.2018.06.004
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author Brogan, James
Baskaran, Immanuel
Ramachandran, Navin
author_facet Brogan, James
Baskaran, Immanuel
Ramachandran, Navin
author_sort Brogan, James
collection PubMed
description 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.
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spelling pubmed-60715832018-08-10 Authenticating Health Activity Data Using Distributed Ledger Technologies Brogan, James Baskaran, Immanuel Ramachandran, Navin Comput Struct Biotechnol J Research Article 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. Research Network of Computational and Structural Biotechnology 2018-07-17 /pmc/articles/PMC6071583/ /pubmed/30101004 http://dx.doi.org/10.1016/j.csbj.2018.06.004 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Brogan, James
Baskaran, Immanuel
Ramachandran, Navin
Authenticating Health Activity Data Using Distributed Ledger Technologies
title Authenticating Health Activity Data Using Distributed Ledger Technologies
title_full Authenticating Health Activity Data Using Distributed Ledger Technologies
title_fullStr Authenticating Health Activity Data Using Distributed Ledger Technologies
title_full_unstemmed Authenticating Health Activity Data Using Distributed Ledger Technologies
title_short Authenticating Health Activity Data Using Distributed Ledger Technologies
title_sort authenticating health activity data using distributed ledger technologies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6071583/
https://www.ncbi.nlm.nih.gov/pubmed/30101004
http://dx.doi.org/10.1016/j.csbj.2018.06.004
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