Evidence map›Paper›PMID 41730950›Full record

ArticleScientific reports2026

DBH-Chain: a decentralized blockchain-enabled healthcare framework for end-to-end delay optimization.

Mansoor Ali, Ramesh Kumar, Muhammad Zahid Tunio, Abdullah Lakhan

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.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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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

4 authors.

Mansoor AliDepartment of Electronics Engineering, Dawood University of Engineering and technology karachi, karachi, Pakistan. mansoor_ali@duet.edu.pk.
Ramesh KumarDepartment of Computer System Engineering, Dawood University of Engineering and technology Karachi, Karachi, Pakistan.
Muhammad Zahid TunioDepartment of Computer System Engineering, Dawood University of Engineering and technology Karachi, Karachi, Pakistan.
Abdullah LakhanDepartment of Cybersecurity, Dawood University of Engineering and Technology Karachi, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The enormous growth in the development of smart healthcare services has increased the need for protective, secure, low-latency, and scalable infrastructure capabilities to support heterogeneous devices and continuous clinical processes. In order to provide smooth communication between mobile, wireless, fog, and cloud nodes, this article offers DBH-Chain, a lightweight, decentralized blockchain-enabled healthcare system that mainly uses a client-to-fog and fog-to-cloud socket architecture. To address the hybrid intercommunication and processing delays among the nodes of the heterogeneous layers, the research creates a queuing-based Mobile Measurement Partner (MMP) hierarchy in conjunction with a Knapsack-driven adaptive scheduling algorithm and Markov Modulated Poisson Stream (MMPS). Strict latency limits and effective task execution are made possible by this design technique. For creating security and trustworthiness, in order to address lightweight computation, this research propose a Proof of Validation (PoV) consensus that guarantees authenticated interactions among the participating distributed nodes. In comparison to other cutting-edge healthcare architectures, the results of the simulation show that the proposed DBH-Chain achieves up to 99.32% scheduling efficiency, a reduction in hybrid delay down to 41% to 57% and maintains the data validation integrity in the ledger up to 98.87%. However, the report of comprehensive analysis confirmed that the proposed solution significantly reduces end-to-end latency, strengthens data security, and improves workload distributions. In short, it provides a robust and practical foundation for futuristic smart healthcare systems.

Indexed as

BlockchainComputer Communication NetworksDelivery of Health CareWireless TechnologyAlgorithmsCloud ComputingComputer SecurityHumansAdoptive schedulingBlockchainDistributed ledger technology (DLT)Healthcare systemKnapsackMarkov modulated poisson stream (MMPS)

Identifiers

PMID41730950
PMCPMC12929560

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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.