Evidence map›Paper›PMID 40293014›Full record

ArticleSensors (Basel, Switzerland)2025

MedAccessX: A Blockchain-Enabled Dynamic Access Control Framework for IoMT Networks.

Guoyi Shi, Minfeng Qi, Qi Zhong, Ningran Li, Wanxin Gao, Lefeng Zhang, Longxiang Gao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

7 authors.

Guoyi ShiFaculty of Data Science, City University of Macau, Macau 999078, China.ORCID 0009-0009-7912-8595
Minfeng QiFaculty of Data Science, City University of Macau, Macau 999078, China.ORCID 0000-0003-0357-642X
Qi ZhongFaculty of Data Science, City University of Macau, Macau 999078, China.ORCID 0000-0002-3736-7135
Ningran LiSchool of Computer and Mathematical Sciences, The University of Adelaide, Adelaide, SA 5005, Australia.ORCID 0009-0005-8621-3617
Wanxin GaoFaculty of Data Science, City University of Macau, Macau 999078, China.ORCID 0000-0002-3863-9366
Lefeng ZhangFaculty of Data Science, City University of Macau, Macau 999078, China.
Longxiang GaoKey Laboratory of Computing Power Network and Information Security, Qilu University of Technology, Jinan 250316, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of Internet of Things (IoT) devices in healthcare has enhanced medical efficiency but poses challenges such as data privacy risks and internal abuse. Traditional IoT data access frameworks suffer from centralization, limited scalability, and static permission controls. To address these issues, we propose MedAccessX, a blockchain-based access control framework combining attribute-based access control (ABAC) and role-based access control (RBAC). MedAccessX utilizes four types of smart contracts: a user management contract (UMC) for managing user operations, a medical data management contract (MDMC) for handling data, a policy contract (PC) for managing access rights, and an access control contract (ACC) for enforcing permissions and facilitating data sharing. Our evaluation, conducted on a private Ethereum blockchain network with multiple nodes, assesses security, deployment cost, gas consumption, throughput, and response time. Comparative analysis demonstrates that MedAccessX achieves lower deployment costs and higher throughput, outperforming existing solutions.

Indexed as

ABACaccess controlblockchainRBAC

Identifiers

PMID40293014
PMCPMC11946333

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.