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Accelerating Health Data Sharing : A Solution Based on the Internet of Things and Distributed Ledger Technologies. / Zheng, Xiaochen; Sun, Shengjing; Mukkamala, Raghava Rao; Vatrapu, Ravi; Ordieres-Meré, Joaquín.

I: Journal of Medical Internet Research, Bind 21, Nr. 6, e13583, 2019.

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Zheng, Xiaochen ; Sun, Shengjing ; Mukkamala, Raghava Rao ; Vatrapu, Ravi ; Ordieres-Meré, Joaquín. / Accelerating Health Data Sharing : A Solution Based on the Internet of Things and Distributed Ledger Technologies. I: Journal of Medical Internet Research. 2019 ; Bind 21, Nr. 6.

Bibtex

@article{b49d24b324fe4a8e8e549e6fffdbca11,
title = "Accelerating Health Data Sharing: A Solution Based on the Internet of Things and Distributed Ledger Technologies",
abstract = "Background: Huge amounts of health-related data are generated every moment with the rapid development of Internet of Things (IoT) and wearable technologies. These big health data contain great value and can bring benefit to all stakeholders in the health care ecosystem. Currently, most of these data are siloed and fragmented in different health care systems or public and private databases. It prevents the fulfillment of intelligent health care inspired by these big data. Security and privacy concerns and the lack of ensured authenticity trails of data bring even more obstacles to health data sharing. With a decentralized and consensus-driven nature, distributed ledger technologies (DLTs) provide reliable solutions such as blockchain, Ethereum, and IOTA Tangle to facilitate the health care data sharing.Objective: This study aimed to develop a health-related data sharing system by integrating IoT and DLT to enable secure, fee-less, tamper-resistant, highly-scalable, and granularly-controllable health data exchange, as well as build a prototype and conduct experiments to verify the feasibility of the proposed solution.Methods: The health-related data are generated by 2 types of IoT devices: wearable devices and stationary air quality sensors. The data sharing mechanism is enabled by IOTA’s distributed ledger, the Tangle, which is a directed acyclic graph. Masked Authenticated Messaging (MAM) is adopted to facilitate data communications among different parties. Merkle Hash Tree is used for data encryption and verification.Results: A prototype system was built according to the proposed solution. It uses a smartwatch and multiple air sensors as the sensing layer; a smartphone and a single-board computer (Raspberry Pi) as the gateway; and a local server for data publishing. The prototype was applied to the remote diagnosis of tremor disease. The results proved that the solution could enable costless data integrity and flexible access management during data sharing.Conclusions: DLT integrated with IoT technologies could greatly improve the health-related data sharing. The proposed solution based on IOTA Tangle and MAM could overcome many challenges faced by other traditional blockchain-based solutions in terms of cost, efficiency, scalability, and flexibility in data access management. This study also showed the possibility of fully decentralized health data sharing by replacing the local server with edge computing devices.",
keywords = "Internet of Things, Distributed ledger technologies, Data sharing, Health information interoperability, IOTA Tangle, Masked authenticated messaging, Blockchain, Intelligent healthcare, Internet of Things, Distributed ledger technologies, Data sharing, Health information interoperability, IOTA Tangle, Masked authenticated messaging, Blockchain, Intelligent healthcare",
author = "Xiaochen Zheng and Shengjing Sun and Mukkamala, {Raghava Rao} and Ravi Vatrapu and Joaqu{\'i}n Ordieres-Mer{\'e}",
year = "2019",
doi = "10.2196/13583",
language = "English",
volume = "21",
journal = "Journal of Medical Internet Research",
issn = "1439-4456",
publisher = "JMIR Publications",
number = "6",

}

RIS

TY - JOUR

T1 - Accelerating Health Data Sharing

T2 - A Solution Based on the Internet of Things and Distributed Ledger Technologies

AU - Zheng, Xiaochen

AU - Sun, Shengjing

AU - Mukkamala, Raghava Rao

AU - Vatrapu, Ravi

AU - Ordieres-Meré, Joaquín

PY - 2019

Y1 - 2019

N2 - Background: Huge amounts of health-related data are generated every moment with the rapid development of Internet of Things (IoT) and wearable technologies. These big health data contain great value and can bring benefit to all stakeholders in the health care ecosystem. Currently, most of these data are siloed and fragmented in different health care systems or public and private databases. It prevents the fulfillment of intelligent health care inspired by these big data. Security and privacy concerns and the lack of ensured authenticity trails of data bring even more obstacles to health data sharing. With a decentralized and consensus-driven nature, distributed ledger technologies (DLTs) provide reliable solutions such as blockchain, Ethereum, and IOTA Tangle to facilitate the health care data sharing.Objective: This study aimed to develop a health-related data sharing system by integrating IoT and DLT to enable secure, fee-less, tamper-resistant, highly-scalable, and granularly-controllable health data exchange, as well as build a prototype and conduct experiments to verify the feasibility of the proposed solution.Methods: The health-related data are generated by 2 types of IoT devices: wearable devices and stationary air quality sensors. The data sharing mechanism is enabled by IOTA’s distributed ledger, the Tangle, which is a directed acyclic graph. Masked Authenticated Messaging (MAM) is adopted to facilitate data communications among different parties. Merkle Hash Tree is used for data encryption and verification.Results: A prototype system was built according to the proposed solution. It uses a smartwatch and multiple air sensors as the sensing layer; a smartphone and a single-board computer (Raspberry Pi) as the gateway; and a local server for data publishing. The prototype was applied to the remote diagnosis of tremor disease. The results proved that the solution could enable costless data integrity and flexible access management during data sharing.Conclusions: DLT integrated with IoT technologies could greatly improve the health-related data sharing. The proposed solution based on IOTA Tangle and MAM could overcome many challenges faced by other traditional blockchain-based solutions in terms of cost, efficiency, scalability, and flexibility in data access management. This study also showed the possibility of fully decentralized health data sharing by replacing the local server with edge computing devices.

AB - Background: Huge amounts of health-related data are generated every moment with the rapid development of Internet of Things (IoT) and wearable technologies. These big health data contain great value and can bring benefit to all stakeholders in the health care ecosystem. Currently, most of these data are siloed and fragmented in different health care systems or public and private databases. It prevents the fulfillment of intelligent health care inspired by these big data. Security and privacy concerns and the lack of ensured authenticity trails of data bring even more obstacles to health data sharing. With a decentralized and consensus-driven nature, distributed ledger technologies (DLTs) provide reliable solutions such as blockchain, Ethereum, and IOTA Tangle to facilitate the health care data sharing.Objective: This study aimed to develop a health-related data sharing system by integrating IoT and DLT to enable secure, fee-less, tamper-resistant, highly-scalable, and granularly-controllable health data exchange, as well as build a prototype and conduct experiments to verify the feasibility of the proposed solution.Methods: The health-related data are generated by 2 types of IoT devices: wearable devices and stationary air quality sensors. The data sharing mechanism is enabled by IOTA’s distributed ledger, the Tangle, which is a directed acyclic graph. Masked Authenticated Messaging (MAM) is adopted to facilitate data communications among different parties. Merkle Hash Tree is used for data encryption and verification.Results: A prototype system was built according to the proposed solution. It uses a smartwatch and multiple air sensors as the sensing layer; a smartphone and a single-board computer (Raspberry Pi) as the gateway; and a local server for data publishing. The prototype was applied to the remote diagnosis of tremor disease. The results proved that the solution could enable costless data integrity and flexible access management during data sharing.Conclusions: DLT integrated with IoT technologies could greatly improve the health-related data sharing. The proposed solution based on IOTA Tangle and MAM could overcome many challenges faced by other traditional blockchain-based solutions in terms of cost, efficiency, scalability, and flexibility in data access management. This study also showed the possibility of fully decentralized health data sharing by replacing the local server with edge computing devices.

KW - Internet of Things

KW - Distributed ledger technologies

KW - Data sharing

KW - Health information interoperability

KW - IOTA Tangle

KW - Masked authenticated messaging

KW - Blockchain

KW - Intelligent healthcare

KW - Internet of Things

KW - Distributed ledger technologies

KW - Data sharing

KW - Health information interoperability

KW - IOTA Tangle

KW - Masked authenticated messaging

KW - Blockchain

KW - Intelligent healthcare

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U2 - 10.2196/13583

DO - 10.2196/13583

M3 - Journal article

VL - 21

JO - Journal of Medical Internet Research

JF - Journal of Medical Internet Research

SN - 1439-4456

IS - 6

M1 - e13583

ER -