Evidence map›Paper›PMID 41350574›Full record

ArticleScientific reports2025

A privacy preserving medical data management framework using blockchain enabled encrypted role based access control.

Ahmed I Taloba, Alanazi Rayan

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Ahmed I TalobaDepartment of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia. aitaloba@ju.edu.sa.
Alanazi RayanDepartment of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia.

Funding

Al Jouf University (DGSSR-2024-02-02025)
6 · The paper itself

Abstract

The fast computerization of health care has created the issue of data leakage, unauthorized access and patient loss of trust. As Electronic Health Records (EHRs) become the focus of clinical processes, data protection, security, and auditing have become a matter of concern. Conventional centralized medical records are still vulnerable to single points of vulnerability, untraceability, and misuse of privileges, resulting in data breach and lack of trust of security in health care data management. To mitigate these problems, this study will propose a privacy-sensitive medical data management system based on blockchain technology to offer secure, transparent, and role-based access to EHRs. The framework combines multi-layer cryptographic security, decentralized authorization through smart contracts, and encrypted storage with the InterPlanetary File System (IPFS) to secure confidentiality and scalability. Access transactions are stored verifiably and tamper-resistant on the blockchain, which does not affect efficiency. Based on the UCI Heart Disease data, the framework was able to attain 98.5% access success, 220 access requests/sec, and 96% privacy retention rates, which is 12-15 times higher than traditional centralized EHR systems. These findings illustrate a robust, scalable and privacy ensuring alternative that guarantees integrity, accountability and efficiency of operations in medical data sharing.

Indexed as

BlockchainComputer SecurityConfidentialityData ManagementElectronic Health RecordsHumansPrivacyBlockchainEncrypted Role-Based access controlMedical data securityPrivacy preservationSmart contracts

Identifiers

PMID41350574
PMCPMC12708723

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.