Evidence map›Paper›PMID 41623340›Full record

ReviewBlockchain in healthcare today2025

Use of Blockchain Technology to Accelerate Digital Health Transformation Programs.

Regien Sumo, Simcha Jong

Abstract readReview
In one paragraph

Review in Blockchain in healthcare today, 2025. 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

2 authors.

Regien SumoPost Doctoral Researcher, Leiden University, Faculty of Science, Leiden Netherlands.ORCID https://orcid.org/0000-0002-0176-5713
Simcha JongProfessor, University College UCL Global Business School for Health, London, United Kingdom.ORCID https://orcid.org/0000-0002-3281-5381

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disruptive digital health technologies are reshaping how patients interact with health professionals, how data are shared among providers, and how treatment plans and health outcomes are determined. While the COVID-19 pandemic has accelerated the adoption of digital technologies, challenges remain in realizing the potential of digital transformation programs in healthcare. Specifically, health data need to remain secure, usable, and shareable across multiple stakeholder groups in a world where silos between organizations and information systems persist. The implementation of innovative and disruptive digital technologies such as blockchain can offer a solution to these challenges. This article explores how blockchain technology can be used to accelerate digital health transformation programs. It provides an overview of the technology applications (i.e. data management, Internet of Medical Things [IoMT], supply chain management, and health insurance) and key players based on a literature review and secondary data. It also identifies challenges and success factors in implementing blockchain in healthcare. At the organizational level, we discuss the careful planning and specialized expertise required to overcome the technical, regulatory, and adoption-related hurdles associated with implementing blockchain technology. At the system level, the authors discuss the regulatory constraints, standardization and interoperability issues, and stakeholder engagement challenges linked to implementing blockchain technology.

Indexed as

Blockchaindata managementdecentralizationdistributed ledger technologyhealthcarehealth transformationmedical datamedical information systems

Identifiers

PMID41623340
PMCPMC12860444

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.