Cited by 167Blockchain Technology Applications and SecurityBlockchain Technology in Education and LearningElectronic Health Records Systems

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index; none of the 44 sources its claims cite is checked for support yet.

Blockchain in Healthcare: A Patient-Centered Model

Open access
Huang, Xudong·2019·Biomedical Journal of Scientific & Technical Research

Abstract

A blockchain is a system for storing and sharing information that is secure because of its transparency. Each block in the chain is both its own independent unit containing its own information, and a dependent link in the collective chain, and this duality creates a network regulated by participants who store and share the information, rather than a third party. Blockchain has many applications in healthcare, and can improve mobile health applications, monitoring devices, sharing and storing of electronic medical records, clinical trial data, and insurance information storage. Research about blockchain and healthcare is currently limited, but blockchain is on the brink of transforming the healthcare system; through its decentralized principles, blockchain can improve accessibility and security of patient information, and can therefore overturn the healthcare hierarchy and build a new system in which patients manage their own care.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This paper reviews blockchain applications in healthcare—mobile health, remote monitoring, EMR sharing, clinical trials, and insurance—and proposes a patient-centered Ethereum-based model using decentralized storage and multi-signature contracts. It argues blockchain can improve security, accessibility, and patient ownership of medical data, though research and implementation remain limited.

Key findings

  • In 2018, OCR received breach notifications exposing 13 million total healthcare records, and the average total cost of a U.S. data breach was $7.91 million, with the health sector having the highest per capita cost.
  • Blockchain-based systems are described for mHealth, remote monitoring, EMR access (e.g., MedBlock, DPS, omniPHR), data sharing (e.g., BSPP, BMPLS), clinical trials, and medical insurance storage (MIStore).
  • One study found Logitboost detected root exploit at 93% accuracy and predicted root exploit in the Root Exploit Detection System (RODS).
  • The proposed patient-centered model uses Ethereum, decentralized cloud storage such as Ethereum Swarm, unique swarm hashes/root chunks stored in smart contracts, and multisig contracts requiring patient and hospital private keys; a “last accessed” timestamp triggers a new swarm hash after access.

Methods

  • Narrative review of blockchain in healthcare plus a proposed system design; no systematic review protocol is reported.
  • The paper synthesizes prior literature and systems, citing 18 references, and describes applications across mobile health, remote monitoring, health data access/sharing, clinical trials, and insurance.
  • The proposed model is conceptual: it is based on Ethereum, Ethereum Swarm, smart contracts, and multisig authentication, but no implementation or empirical evaluation is described.

Limitations

  • The paper states that research about blockchain and healthcare is currently limited and that more research is needed, especially for mobile health and remote monitoring security and patient information sharing.
  • The paper acknowledges that blockchains are susceptible to 51% attacks, though it says the probability of a successful attack is extremely low, and notes cost concerns from Ethereum “gas” fees (ETH valued around $120 USD as of January 2019).
  • Evident from the text: the proposed patient-centered model is not tested or deployed, and the review does not report a systematic search or formal quality assessment of included systems.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.26717/bjstr.2019.20.003448

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Figure 1: Overview of how a blockchain system operates.
Figure 1: Overview of how a blockchain system operates.CC BY · PubMed Central
Figure 2: Overview of a proposed blockchain healthcare model.
Figure 2: Overview of a proposed blockchain healthcare model.CC BY · PubMed Central

Verification

Claims the paper makes

44 Not checked yet · 20 Own interpretation · 8 No basis given

Verify all 44 references — free account

Show all 20 claims

  • Probably not a substantial claim. 38
  • It may state two separate claims as one. 28
52 of 52
  • The paper relies on this without support.

    Patients are currently unable to have full ownership of their own medical data.

    “Another concern is that patients are currently unable to have full ownership of their own medical data, a notion that is increasing in relevance with the rise of personalized medicine and wearables.”
  • The paper relies on this without support.

    Security concerns are associated with mobile monitoring of healthcare, as patient health information is private and sensitive.

    “Security concerns are associated with mobile monitoring of healthcare, as patient health information is private and sensitive.”
  • The paper relies on this without support.

    Mobile malware has destroyed blockchain in the past.

    “Mobile malware has destroyed blockchain in the past, and the blockchain that controls mobile applications must be completely secure before it can be used to store health information.”
  • The paper relies on this without support.

    Medical records are generally spread out across many different healthcare facilities, making them difficult to access.

    “Medical records can be difficult to access because they are generally spread out across many different healthcare facilities”
  • The paper relies on this without support.

    Network overload is a concern when software such as blockchain that continues to grow over time is implemented.

    “Network overload is a concern when software such as blockchain that continues to grow over time is implemented.”
  • The paper relies on this without support.

    A patient’s location may need to be shared securely with providers and other relevant personnel.

    “A patient’s location is another piece of health information that may need to be shared securely with providers and other relevant personnel.”
  • The paper relies on this without support.

    Blockchains do not innately offer sufficient storage.

    “Since many times, blockchains do not innately offer sufficient storage, we store the actual medical records on a decentralized cloud storage such as Ethereum Swarm”
  • The paper relies on this without support.

    The probability of a successful 51% attack is extremely low.

    “However, although 51% attacks are possible, the probability of a successful attack is extremely low, so blockchain remains one of the most secure forms of technology.”
8 of 8

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Research works printed but not linked: 1

  1. [1]Journal H (2018) Largest Healthcare Data Breaches of 2018. HIPAA Journal.

Cited by

Sorted by citations

See all 167

Metadata

Authors
Huang, X.
Affiliations
Harvard University (US)
Corresponding author
Huang, Xudong
Venue
Biomedical Journal of Scientific & Technical Research
Published
2019-08-08
Volume
20
Issue
3
Pages
15017-15022
ISSN
2574-1241 (ISSN-L)
OpenAlex
W2981296547
Cited by
167
References
18
Citations by year
2026: 6 · 2025: 14 · 2024: 28 · 2023: 23 · 2022: 43 · 2021: 38 · 2020: 13 · 2019: 1
FWCI
29.52
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Biomedical Journal of Scientific & Technical Research (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion, cc-by)
  • PubMed Central (acceptedVersion, cc-by)
Funders
National Institute on Aging (R01AG056614)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Keywords
blockchain, health care, patient-centered care, electronic health records, decentralized systems, data security, mobile health apps, clinical trial data, health insurance data, patient data sharing, patient self-management

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-10-09, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-09 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review