Evidence map›Paper›PMID 41877694›Full record

ReviewBlockchain in healthcare today2025

Efficient Health Information Exchange Automation System Based on Blockchain and IPFS.

Rohit Kumar Jarariya, Sri Khetwat Saritha, Sweta Jain

Abstract readReview
In one paragraph

Review in Blockchain in healthcare today, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Rohit Kumar JarariyaDepartment of Computer Science Engineering (CSE), Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0003-1659-6075
Sri Khetwat SarithaDepartment of Computer Science Engineering (CSE), Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0002-6139-8978
Sweta JainDepartment of Computer Science Engineering (CSE), Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India.ORCID https://orcid.org/0000-0002-0365-5876

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In today's digital era, secure and efficient management of health information is a critical challenge. Centralized health data systems often expose sensitive information to security risks, enabling unauthorized access, modifications, and data sharing without patients' consent. These challenges require a patient-centric, standardized approach to managing health data. This article presents a decentralized health information exchange framework that leverages blockchain technology to address these issues. The framework combines the Interplanetary File System for scalable data storage with Ethereum (ETH) smart contracts to enforce secure and transparent access control. By integrating these technologies, the proposed solution presented here enhances data security, transparency, and interoperability while reducing costs and reliance on intermediaries. Experiments conducted on the ETH blockchain demonstrate the framework's efficiency, with smart contracts evaluated for transaction costs and accuracy. In addition to examining scalability and security, the authors discuss the framework's limitations and its potential for broader application. To foster further research and collaboration, the source code for the smart contracts is openly available on GitHub.

Indexed as

Blockchaindistributed ledgerEthereum 2.0health information exchangeHIEInterplanetary File SystemIPFS

Identifiers

PMID41877694
PMCPMC12994885

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.