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Cited by 944Blockchain Technology Applications and SecurityInternet of Things and AIBlockchain Technology in Education and Learning

Healthcare blockchain system using smart contracts for secure automated remote patient monitoring

Griggs, Kristen N., Ossipova, Olya, Kohlios, Christopher P., Baccarini, Alessandro N., Howson, Emily A., Hayajneh, Thaier·2018·Journal of Medical Systems
DOI 10.1007/s10916-018-0982-x
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Abstract

As Internet of Things (IoT) devices and other remote patient monitoring systems increase in popularity, security concerns about the transfer and logging of data transactions arise. In order to handle the protected health information (PHI) generated by these devices, we propose utilizing blockchain-based smart contracts to facilitate secure analysis and management of medical sensors. Using a private blockchain based on the Ethereum protocol, we created a system where the sensors communicate with a smart device that calls smart contracts and writes records of all events on the blockchain. This smart contract system would support real-time patient monitoring and medical interventions by sending notifications to patients and medical professionals, while also maintaining a secure record of who has initiated these activities. This would resolve many security vulnerabilities associated with remote patient monitoring and automate the delivery of notifications to all involved parties in a HIPAA compliant manner.

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Crossref · 10.1007/s10916-018-0982-x

Cites

8 of 8 references verified0 citation errors · 0 not checkable

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  • Recent studies have begun to incorporate analogous and peripheral technologies into blockchain-based system architectures, including IoT, sensors, wireless body area networks, big data, edge computing, and cloud technology.

    “Recent studies have begun to incorporate analogous and peripheral technologies into blockchain-based system architectures that include IoT (Dwivedi et al., 2019), sensors (Casado-Vara & Corchado, 2019), wireless body area networks (Griggs et al., 2018), (Mamoshina et al., 2018), big data (Dhagarra et al., 2019), edge computing (Zheng et al., 2019), and cloud technology (Kaur et al., 2018).”

    From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Griggs et al., 2018

  • Blockchain adoption has been posited to have positive connotations in clinical trial management, DNA data transmission, remote patient monitoring, drug discovery, biomarker development, and preventive healthcare.

    “For example, blockchain adoption has been posited to have positive connotations in clinical trial management (Wong et al., 2019), DNA data transmission (S.J. Lee et al., 2018), remote patient monitoring (Griggs et al., 2018;Dwivedi et al., 2019) as well as drug discovery, biomarker development, and preventive healthcare (Mamoshina et al., 2018).”

    From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Griggs et al., 2018

  • Time-related issues discussed as constraints include time searching for global smart contracts, increased time consumption, transmission timing, time to seek data in shared storage, and higher total execution time.

    “Time-related issues have also been discussed as a constraint, including the time spent searching for the global smart contracts (Dagher et al., 2018), increased time consumption (Islam et al., 2019), transmission timing (Griggs et al., 2018), time required for seeking the required data in shared storage by the data recipient (Rahmadika & Rhee, 2019), and higher total execution time (Kuo et al., 20”

    From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Griggs et al., 2018

  • These concerns relate to technical limitations including node security, cryptographic security level, and data privacy during computations.

    “These concerns are mainly related to the technical limitations of blockchain technology, such as the security of individual nodes (Griggs et al., 2018), the level of security enabled by the cryptographic elements incorporated in framework (Tian et al., 2019), and the maintenance of data privacy while requesters complete their computations (Yue et al., 2016).”

    From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Griggs et al., 2018

  • Five publications addressed the m-health domain and patient-controlled collection, storage and sharing of sensor data.

    “Five of the publications addressed the m-health domain and patientcontrolled collection, storage and sharing of sensor data [23,27,35,39,32].”

    From Blockchain in healthcare and health sciences—A scoping review (2020) · cites this paper as [39]

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Authors
Griggs, K. N., Ossipova, O., Kohlios, C. P., Baccarini, A. N., Howson, E. A., & Hayajneh, T.
Affiliations
Fordham University (US)
Corresponding author
Hayajneh, Thaier
ORCID
Venue
Journal of Medical Systems
Publisher
Springer Science and Business Media LLC
Published
2018-06-06
Volume
42
Issue
7
Pages
130-130
ISSN
  • 0148-5598 (ISSN-L)
  • 1573-689X
DOI
10.1007/s10916-018-0982-x
OpenAlex
W2805383889
Cited by
926
References
8
Citations by year
2026: 43 · 2025: 75 · 2024: 97 · 2023: 160 · 2022: 179 · 2021: 174 · 2020: 116 · 2019: 73 · 2018: 9
FWCI
150.08
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
  • Journal of Medical Systems (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
Keywords
blockchain, smart contracts, remote patient monitoring, Internet of Things, biomedical sensors, protected health information, data security, Ethereum, HIPAA compliance, real-time patient monitoring, notification delivery, medical data integrity
MeSH terms
Automation, Delivery of Health Care, Humans, Information Systems, Monitoring, Physiologic, Software, Computer Security, Internet

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