Evidence map›Paper›PMID 41044122›Full record

ArticleScientific reports2025

Toward blockchain based electronic health record management with fine grained attribute based encryption and decentralized storage mechanisms.

Asad Ullah, Zia Ullah, Sanam Shahla Rizvi, Lubna Gul, Se Jin Kwon

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Asad UllahSchool of Information Engineering, Xi'an Eurasia University, Xi'an, 710065, Shaanxi, China.
Zia UllahDepartment of Computer Software Engineering, University of Engineering and Technology Mardan, Mardan, 23200, Pakistan.
Sanam Shahla RizviRaptor Interactive (Pty) Ltd., Centurion, 0157, South Africa.
Lubna GulDepartment of Computer Software Engineering, University of Engineering and Technology Mardan, Mardan, 23200, Pakistan.
Se Jin KwonDepartment of Computer Science and Artificial Intelligence, Dongguk University, Seoul, 04620, South Korea. skwon1109@gmail.com.

Funding

National Research Foundation of Korea (NRF) / Ministry of Education RS-2023-00244091
6 · The paper itself

Abstract

Current Electronic Health Record (EHR) systems exhibit several critical drawbacks, including significant vulnerabilities in security, privacy, and scalability. Traditional centralized databases are highly susceptible to cyber attacks, data breaches, and unauthorized access, posing severe risks to the confidentiality and integrity of sensitive patient information. In addition, these systems often face interoperability issues, which hinder seamless information sharing and access among healthcare providers. The absence of a unified and secure framework exacerbates these problems, leading to operational inefficiencies and increased administrative costs in the management of health records. This study introduces an innovative framework designed to overcome these challenges by integrating blockchain technology with the InterPlanetary File System (IPFS). The proposed EHRChain solution leverages attribute-based encryption to provide fine-grained access control, ensuring that only authorized users can retrieve and decrypt medical records. The IPFS framework eliminates single points of failure by storing encrypted data in a decentralized fashion, thus increasing the resilience of the system to cyber attacks. Incorporating blockchain technology ensures the immutability and traceability of medical data, significantly reducing the risks of data tampering. Performance evaluations using real data set simulation demonstrate the efficiency and feasibility of our framework, highlighting its potential to revolutionize the handling of electronic medical records. This study not only underscores the advantages of integrating blockchain with EHR systems but also presents a scalable and secure solution tailored to meet the demands of modern healthcare infrastructures. Our approach promises to improve data security, improve interoperability, and reduce operational inefficiencies, leading to a new standard in electronic health records.

Indexed as

BlockchainComputer SecurityElectronic Health RecordsInformation Storage and RetrievalConfidentialityHumansAccess controlAttribute-based encryptionBlockchainElectronic health records (EHR)Ethereum blockchainInterPlanetary file system (IPFS)Smart contract

Identifiers

PMID41044122
PMCPMC12494854

What OpenQuestion holds

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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.