Evidence map›Paper›PMID 41296167›Full record

SynthesisMedical & biological engineering & computing2026

A systematic study on blockchain technology for genomic data management in healthcare: approaches, challenges, and research opportunities.

Anju Arya, Amita Malik

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Medical & biological engineering & computing, 2026. 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. 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

2 authors.

Anju AryaDeenbandhu Chhotu Ram University of Science and Technology, Murthal, Haryana, India. anjuarya12@ymail.com.ORCID http://orcid.org/0000-0003-0161-8905
Amita MalikDeenbandhu Chhotu Ram University of Science and Technology, Murthal, Haryana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The healthcare institutions have started inculcating practices towards personalized care to its patients. Genomic data has now become an inevitable component of healthcare data allowing realization of personalize care of the patients. Medical practitioners are utilizing different technologies for efficient clinical interpretations of genomic data. The genomic data poses many challenges related to its management, amongst which data size and sensitivity are critical. The blockchain technology, a recent and still evolving technology, provides a single integrated solution for the various challenges encountered in managing healthcare data, both genomic and non-genomic. But still there are many challenges yet to be resolved in the domain of genomics and connected technological solutions. This paper presents a systematic literature review covering the research done on genomic data management using blockchain technology in healthcare. The review has incorporated 44 research and 43 review papers. We have designed our study based on 4 research questions targeted to cover efforts on genomic data management via blockchain technology. To our knowledge, majority of the research has focused on data sharing, privacy and security of genomic data. This systematic literature review (SLR) will contribute in identifying research gaps and directions for untouched areas.

Indexed as

BlockchainData ManagementDelivery of Health CareGenomicsComputer SecurityHumansBlockchain technologyData managementGenomic dataPersonalized care

Identifiers

What OpenQuestion holds

Textmetadata
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.