Evidence map›Paper›PMID 41580431›Full record

ArticleScientific reports2026

Secure, scalable, and interoperable healthcare data exchange using layer-2 ZK-rollups, smart contracts, and IPFS.

Abhinav Raghav, Aanjey Mani Tripathi, Niyaz Ahmad Wani, Naveed Ahmad, Yasir Javed, Mohamad Ladan

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

6 authors.

Abhinav RaghavDepartment of Computer Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India.
Aanjey Mani TripathiDepartment of Computer Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India.
Niyaz Ahmad WaniDepartment of Computer Applications, Manipal University Jaipur, Jaipur, Rajasthan, India. neyaz32@gmail.com.
Naveed AhmadCollege of Computer and Information Science, Prince Sultan University, Riyadh, Saudi Arabia.
Yasir JavedEIAS: Data Science and Blockchain Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia.
Mohamad LadanDepartment of Software engineering, Prince Sultan University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data transactions in healthcare are steadily increasing across various platforms, aiming to improve patient care and increase data transparency. Blockchain technology will serve as a catalyst in healthcare data transactions, ensuring data security and privacy for various stakeholders. Improving data security, transparency, and interoperability, blockchain technology's application in healthcare has demonstrated considerable promise. However, healthcare applications that rely on real-time data transaction settlement face obstacles caused by Layer1 blockchains' poor transaction throughput and excessive latency. In this work, we adopt established consensus and a zk-Rollup verification workflow, specifying healthcare-oriented configurations for security, auditability, and throughput. This paper integrates the smart contracts, zero knowledge proof and off chain data storage to increase the efficiency, and security and reduce transaction costs. The usefulness of the suggested algorithm in healthcare applications is demonstrated by thorough literature research, comparative analysis, and experimental data. Transaction throughput increases very high, latency improved by 57%, and decrease the transaction cost to 96% in healthcare data transactions which are all greatly improved by the proposed system. Unlike existing zk-Rollup-based healthcare frameworks, the proposed model integrates cross-chain identity validation and verifiable data provenance to achieve secure interoperability across multi-chain healthcare systems.

Indexed as

Computer SecurityHealth Information ExchangeAlgorithmsBlockchainContractsDelivery of Health CareElectronic Health RecordsHumansConsensusInteroperabilityLayered blockchainScalabilityTransaction costZK-Rollup

Identifiers

PMID41580431
PMCPMC12901292

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.