Evidence map›Paper›PMID 40201127›Full record

ArticleiScience2025

A blockchain-based smart healthcare system for data protection.

Jide Kehinde Adeniyi, Sunday Adeola Ajagbe, Abidemi Emmanuel Adeniyi, Korede Israel Adeyanju, Adenrele A Afolorunso, Matthew O Adigun, Isaac Ogene

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jide Kehinde AdeniyiDepartment of Computer Science, Landmark University, Omu-Aran, University SDG 4 (Quality Education), Omu-Aran, Nigeria.
Sunday Adeola AjagbeDepartment of Computer Science, University of Zululand, Kwadlangezwa 3886, South Africa.
Abidemi Emmanuel AdeniyiCollege of Computing & Communication Studies, Bowen University, Iwo, Nigeria.
Korede Israel AdeyanjuDepartment of Computing, Sheffield Hallam University, Sheffield S1 1WB, UK.
Adenrele A AfolorunsoDepartment of Computer Science, National Open University of Nigeria, Abuja 900001, Nigeria.
Matthew O AdigunDepartment of Computer Science, University of Zululand, Kwadlangezwa 3886, South Africa.
Isaac OgeneDepartment of Computer Science, Landmark University, Omu-Aran, University SDG 4 (Quality Education), Omu-Aran, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The security of medical information has become a significant challenge with the move from traditional filing systems to electronic records. This study proposes the use of blockchain technology to address these concerns. The system registers patients and medical staff with unique IDs and stores patient diagnoses as immutable records on the blockchain. A central interplanetary file system stores the collected data, which can be accessed by authorized users like nurses, pharmacists, and patients via special access details. Users must log in before accessing medical records through the Electronic Record Management system. This approach can be scaled to multiple hospitals. After testing, the system showed some latency issues with 100 nodes, but performance improved with more nodes (300-500), demonstrating better scalability as the system handles more data and hospitals. Overall, the proposed blockchain-based system offers a secure, scalable solution for managing and accessing medical records.

Indexed as

BioinformaticsComputer science

Identifiers

PMID40201127
PMCPMC11978318

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.