ArticleSensors (Basel, Switzerland)2021
A Blockchain-Enabled Framework for mHealth Systems.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
What it found
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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
12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic study on blockchain technology for genomic data management in healthcare: approaches, challenges, and research opportunities.Medical & biological engineering & computing · 2026Pooled it
- Smart Contracts and Shared Platforms in Sustainable Health Care: Systematic Review.JMIR medical informatics · 2025Pooled it
- Yushida: an IoT-based smart injection system for long-term management of chronic diseases.Frontiers in digital health · 2026Review
- Bridging Gaps in Telemedicine Education in Romania to Support Future Health Care: Scoping Review.JMIR medical education · 2025Article
- Article
- A framework for sharing of clinical and genetic data for precision medicine applications.Nature medicine · 2024Article
- Trustworthy and ethical AI-enabled cardiovascular care: a rapid review.BMC medical informatics and decision making · 2024Review
- [Mobile health in primary care. New challenges in the development of solutions to promote physical activity and well-being].Atencion primaria · 2024Article
- Sensing Data Concealment in NFTs: A Steganographic Model for Confidential Cross-Border Information Exchange.Sensors (Basel, Switzerland) · 2024Article
- Securing Optical Networks Using Quantum-Secured Blockchain: An Overview.Sensors (Basel, Switzerland) · 2023Article
- Blockchain technology applications in the health domain: a multivocal literature review.The Journal of supercomputing · 2023Article
- A Survey of Human Gait-Based Artificial Intelligence Applications.Frontiers in robotics and AI · 2021Review
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
Presently modern technology makes a significant contribution to the transition from traditional healthcare to smart healthcare systems. Mobile health (mHealth) uses advances in wearable sensors, telecommunications and the Internet of Things (IoT) to propose a new healthcare concept centered on the patient. Patients' real-time remote continuous health monitoring, remote diagnosis, treatment, and therapy is possible in an mHealth system. However, major limitations include the transparency, security, and privacy of health data. One possible solution to this is the use of blockchain technologies, which have found numerous applications in the healthcare domain mainly due to theirs features such as decentralization (no central authority is needed), immutability, traceability, and transparency. We propose an mHealth system that uses a private blockchain based on the Ethereum platform, where wearable sensors can communicate with a smart device (a smartphone or smart tablet) that uses a peer-to-peer hypermedia protocol, the InterPlanetary File System (IPFS), for the distributed storage of health-related data. Smart contracts are used to create data queries, to access patient data by healthcare providers, to record diagnostic, treatment, and therapy, and to send alerts to patients and medical professionals.
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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.