Cited by 210Blockchain Technology Applications and SecurityElectronic Health Records SystemsBlockchain Technology in Education and Learning

A novel blockchain-based electronic health record automation system for healthcare

Chelladurai, Usharani, Pandian, Seethalakshmi·2022·Journal of Ambient Intelligence and Humanized Computing

Integrity signals

Registry

Crossref · 10.1007/s12652-021-03163-3

Cites

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?

The citation lists haven’t been fetched yet

References 22 · Cited by 210

Authors
Chelladurai, U., & Pandian, S.
Affiliations
Anna University, Chennai (IN)
Corresponding author
Chelladurai, Usharani
Venue
Journal of Ambient Intelligence and Humanized Computing
Published
2021-03-23
Volume
13
Issue
1
Pages
693-703
ISSN
  • 1868-5137 (ISSN-L)
  • 1868-5145
OpenAlex
W3138358196
Cited by
210
References
22
Citations by year
2026: 14 · 2025: 46 · 2024: 48 · 2023: 53 · 2022: 44 · 2021: 5
FWCI
33.90
Type
journal article
Language
en
Open access
closed
Locations
Journal of Ambient Intelligence and Humanized Computing (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
Keywords
electronic health records, blockchain, smart contracts, health information exchange, distributed ledger technology, cryptographic hash functions, medical records security, e-health systems, transaction latency

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