Cited by 22Blockchain Technology Applications and SecurityBlockchain Technology in Education and LearningDigital Transformation in Law

Hyperledger fabric platform for healthcare trust relations—Proof-of-Concept

Open access
Nedaković, Aleksandar, Hasselgren, Anton, Kralevska, Katina, Gligoroski, Danilo·2023·Blockchain: Research and Applications

Abstract

In recent years, blockchain technologies have expanded from the finance field to other areas that rely on trust-based solutions. The healthcare industry represents one such area, as digital transformation disrupts relationships between patients, healthcare professionals, and healthcare institutes. Patients and healthcare institutes lack a proficient tool to verify the credentials of medical professionals in a digital environment. Furthermore, healthcare professionals lack a tool where they are in control over their credentials. The first contribution of this paper is a proposal of a solution that leverages the private permissioned Hyperledger Fabric blockchain and smart contracts to provide a source of transparent trust for relationships within the healthcare industry. Second, we pave the ground for GDPR compliance by storing only the hash values on the blockchain. Third, we solve the problem of patient authentication by utilizing cryptographic techniques. Finally, we prove the usability of the proposed solution by implementing a user interface and creating a live deployment.

Integrity signals

Registry

Crossref · 10.1016/j.bcra.2023.100156

Cites

23 of 23 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • False stories can be used to spread information and sway public opinion on important subjects including health information.

    “False stories can be used to spread information and sway public opinion on a variety of subjects, including important concerns and health information13.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Nedaković, A., Hasselgren, A., Kralevska, K., & Gligoroski, D.
Affiliations
Norwegian University of Science and Technology (NO)
Corresponding author
Hasselgren, Anton
Venue
Blockchain: Research and Applications
Publisher
Elsevier BV
Published
2023-12
Volume
4
Issue
4
Pages
100156
ISSN
2096-7209 (ISSN-L)
OpenAlex
W4385463135
Cited by
22
References
23
Citations by year
2026: 8 · 2025: 7 · 2024: 6 · 2023: 1
FWCI
5.16
Type
journal article
Language
en
Open access
Locations
  • Blockchain Research and Applications (publishedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • NORA - Norwegian Open Research Archives (submittedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
  • Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Digital Transformation in Law
Keywords
Hyperledger Fabric, blockchain, healthcare trust, smart contracts, credential verification, GDPR compliance, patient authentication, cryptographic techniques, permissioned blockchain, healthcare digital transformation

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.

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