ArticleComputational and structural biotechnology journal2018
A Blockchain-Based Notarization Service for Biomedical Knowledge Retrieval.
Article in Computational and structural biotechnology journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- A framework for sharing of clinical and genetic data for precision medicine applications.Nature medicine · 2024Article
- Fortifying Health Care Intellectual Property Transactions With Blockchain.Journal of medical Internet research · 2023Review
- Blockchain-Based Architecture Design for Personal Health Record: Development and Usability Study.Journal of medical Internet research · 2022Article
- The Use of Blockchain Technology in the Health Care Sector: Systematic Review.JMIR medical informatics · 2022Review
- Blockchain-enabled wireless communications: a new paradigm towards 6G.National science review · 2021Article
- Steganographic Analysis of Blockchains.Sensors (Basel, Switzerland) · 2021Article
- A Blockchain-Enabled Framework for mHealth Systems.Sensors (Basel, Switzerland) · 2021Article
- Blockchain Technologies: Opportunities for Solving Real-World Problems in Healthcare and Biomedical Sciences.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2019Review
- Could Blockchain Technology Empower Patients, Improve Education, and Boost Research in Radiology Departments? An Open Question for Future Applications.Journal of digital imaging · 2019Review
- Blockchain Applications in the Biomedical Domain: A Scoping Review.Computational and structural biotechnology journal · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biomedical research and clinical decision depend increasingly on scientific evidence realized by a number of authoritative databases, mostly public and continually enriched via peer scientific contributions. Given the dynamic nature of biomedical evidence data and their usage in the sensitive domain of biomedical science, it is important to ensure retrieved data integrity and non-repudiation. In this work, we present a blockchain-based notarization service that uses smart digital contracts to seal a biomedical database query and the respective results. The goal is to ensure that retrieved data cannot be modified after retrieval and that the database cannot validly deny that the particular data has been provided as a result of a specific query. Biomedical evidence data versioning is also supported. The feasibility of the proposed notarization approach is demonstrated using a real blockchain infrastructure and is tested on two different biomedical evidence databases: a publicly available medical risk factor reference repository and on the PubMed database of biomedical literature references and abstracts.
Indexed as
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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.