ArticleTrials2017
Blockchain technology for improving clinical research quality.
Article in Trials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 4 of them syntheses that pooled 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.
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
56 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- A Comprehensive Review of the Revolutionary Potential of Blockchain in Safe, Secure, and Sustainable Pharmaceutical Operations.Pharmaceutical research · 2026Pooled it
- A systematic review of the blockchain application in healthcare research domain: toward a unified conceptual model.Medical & biological engineering & computing · 2025Pooled it
- Applications of Blockchain in the Medical Field: Narrative Review.Journal of medical Internet research · 2021Pooled it
- Ethical Use of Electronic Health Record Data and Artificial Intelligence: Recommendations of the Primary Care Informatics Working Group of the International Medical Informatics Association.Yearbook of medical informatics · 2020Guideline
- A Blockchain-Based Architecture for Dynamic and Auditable Patient Consent in Secondary Use of Health Data.Blockchain in healthcare today · 2026Article
- Revolutionizing diabetes care: the role of artificial intelligence in prevention, diagnosis, and patient care.Journal of diabetes and metabolic disorders · 2025Review
- Enhancing Cancer Care through Blockchain Technology.Asian Pacific journal of cancer prevention : APJCP · 2025Review
- Artificial intelligence and blockchain in clinical trials: enhancing data governance efficiency, integrity, and transparency.Bioanalysis · 2025Review
- Blockchain Applications in Core Healthcare Services: Patient Data, Research, and Institutional Processes.Blockchain in healthcare today · 2025Article
- Blockchain as a Prime Guardian: Securing Clinical Trial Data Integrity.Reviews on recent clinical trials · 2025Review
- Use of Blockchain Technology to Accelerate Digital Health Transformation Programs.Blockchain in healthcare today · 2025Review
- Optimizing Proof-of-Work for Secure Health Data Blockchain Using Compute Unified Device Architecture.Blockchain in healthcare today · 2025Article
- Blockchain Technology in Digital Health and Medical Technologies.Blockchain in healthcare today · 2025Article
- Blockchain-enabled quality by design system for clinical trials.Frontiers in medicine · 2025Article
- Design and Development of a Smart Fidget Toy Using Blockchain Technology to Improve Health Data Control.Sensors (Basel, Switzerland) · 2024Article
- Ethical and regulatory challenges of AI technologies in healthcare: A narrative review.Heliyon · 2024Review
- Identifying the Barriers to Acceptance of Blockchain-Based Patient-Centric Data Management Systems in Healthcare.Healthcare (Basel, Switzerland) · 2024Article
- Data Quality in Health Research: Integrative Literature Review.Journal of medical Internet research · 2023Review
- Scrybe: A Secure Audit Trail for Clinical Trial Data Fusion.Digital threats : research and practice · 2023Article
- State-of-the-Art Research in Blockchain of Things for HealthCare.Arabian journal for science and engineering · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reproducibility, data sharing, personal data privacy concerns and patient enrolment in clinical trials are huge medical challenges for contemporary clinical research. A new technology, Blockchain, may be a key to addressing these challenges and should draw the attention of the whole clinical research community.Blockchain brings the Internet to its definitive decentralisation goal. The core principle of Blockchain is that any service relying on trusted third parties can be built in a transparent, decentralised, secure "trustless" manner at the top of the Blockchain (in fact, there is trust, but it is hardcoded in the Blockchain protocol via a complex cryptographic algorithm). Therefore, users have a high degree of control over and autonomy and trust of the data and its integrity. Blockchain allows for reaching a substantial level of historicity and inviolability of data for the whole document flow in a clinical trial. Hence, it ensures traceability, prevents a posteriori reconstruction and allows for securely automating the clinical trial through what are called Smart Contracts. At the same time, the technology ensures fine-grained control of the data, its security and its shareable parameters, for a single patient or group of patients or clinical trial stakeholders.In this commentary article, we explore the core functionalities of Blockchain applied to clinical trials and we illustrate concretely its general principle in the context of consent to a trial protocol. Trying to figure out the potential impact of Blockchain implementations in the setting of clinical trials will shed new light on how modern clinical trial methods could evolve and benefit from Blockchain technologies in order to tackle the aforementioned challenges.
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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.