ArticleBlockchain in healthcare today2025
Blockchain Applications in Core Healthcare Services: Patient Data, Research, and Institutional Processes.
Article in Blockchain in healthcare today, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Blockchain Technology in Digital Health and Medical Technologies.Blockchain in healthcare today · 2025Article
- Construction of a Big Data-Driven Predictive Analysis Platform for Hospital Talent Attrition.Blockchain in healthcare today · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This research aims to systematically examine the application of blockchain technology in core primary healthcare services, with a particular focus on its ability to enhance data integrity, transparency, and operational efficiency. The objective is to identify and analyze the primary areas where blockchain is being utilized within the health sciences and to evaluate its contributions to secure patient consent, reliable data verification, and the protection of sensitive health information. Methods: This study conducted a systematic literature review of research and review articles indexed in the Web of Science Core Collection between January 10 and March 15, 2025. Articles were selected based on predefined search strings targeting blockchain applications in health sciences, as detailed in the search strategy (Figure 1). Bibliometric analysis was performed using VOSviewer and the Biblioshiny interface of R Bibliometrix to identify thematic areas, keyword co-occurrences, and research trends. Overlay and network visualizations were used to reveal temporal patterns and relational structures among keywords. To enhance the scope of the review, supplementary searches were also conducted via Google Scholar, providing additional insight into emerging topics not yet indexed in Web of Science. Results: The analysis revealed eight major thematic areas where blockchain is prominently applied: secure patient consent and data management, healthcare supply chain processes, clinical research and monitoring, legal and intellectual property concerns, disease tracking and epidemiological management including COVID-19, insurance and billing systems, organ transplantation logistics, and applications in cancer and pharmaceutical research. The data demonstrate an increasing focus on blockchain's role in enhancing transparency and accountability in both institutional and patient-centered healthcare services. Conclusions: Blockchain holds considerable promise for advancing healthcare systems. However, its effective implementation depends on a comprehensive approach that combines technological innovation with supportive policy frameworks and ethical considerations. These findings provide valuable guidance for stakeholders seeking to integrate blockchain in health service delivery.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.