Evidence map›Paper›PMID 38725738›Full record

ArticleCureus2024

Applications of Blockchain-Based Technology for Healthcare Devices Post-market Surveillance.

Swarna Muniappan, Madhan Jeyaraman, Sankalp Yadav, Naveen Jeyaraman, Sathish Muthu, Swaminathan Ramasubramanian, Bishnu P Patro

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Swarna MuniappanElectronics and Communication Engineering, Dr MGR Educational and Research Institute, Chennai, IND.
Madhan JeyaramanClinical Research, Viriginia Tech India, Dr MGR Educational and Research Institute, Chennai, IND.
Sankalp YadavMedicine, Shri Madan Lal Khurana Chest Clinic, New Delhi, IND.
Naveen JeyaramanOrthopaedics, ACS Medical College and Hospital, Dr MGR Educational and Research Institute, Chennai, IND.
Sathish MuthuDepartment of Orthopaedics, Government Karur Medical College, Karur, IND.
Swaminathan RamasubramanianOrthopaedics, Government Medical College, Omandurar Government Estate, Chennai, IND.
Bishnu P PatroOrthopaedics, All India Institute of Medical Sciences, Bhubaneswar, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The volume of data analysis for medical device post-market surveillance (PMS) has increased dramatically in recent years. It is the more stringent and intricate regulatory criteria of the health authorities that are meant to improve the medical device safety review. As regulators scrutinize device safety more closely, proactive approaches to PMS processes are becoming crucial. To solve some of the issues brought on by this shifting regulatory landscape, new technologies have been investigated. This study envisages the technical features of blockchain technology (BCT) and its role in enhancing the PMS for medical devices. To address the aforementioned challenges, our model involves the establishment of a secure, permissioned blockchain for PMS data management, utilizing a proof-of-authority consensus mechanism. This blockchain framework will exclusively permit a carefully vetted and designated set of participants to validate transactions and record them in the PMS data ledger. The utilization of BCT holds the potential to introduce enhanced efficiency and provide several advantages to the various stakeholders involved in the PMS procedure, including its potential to support emerging regulatory efforts.

Indexed as

artificial intelligenceblockchainblock chain technologyinternet of thingsmedical devicepost-marketing surveillance

Identifiers

PMID38725738
PMCPMC11079575

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.