ArticleSensors (Basel, Switzerland)2020
Towards a Remote Monitoring of Patient Vital Signs Based on IoT-Based Blockchain Integrity Management Platforms in Smart Hospitals.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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
48 citing papers in PubMed.
- Efficacy of digital health technologies in patients with chronic pain: a protocol for a systematic review and meta-analysis.Systematic reviews · 2026Article
- Secure federated transfer learning with enhanced secure multiparty computation for privacy preserving smart EHR systems.Scientific reports · 2025Article
- Transition Toward Smart Hospitals: A Scoping Review of Features, Technologies, and Challenges.Health science reports · 2025Review
- Wearable K Band Sensors for Telemonitoring and Telehealth and Telemedicine Systems.Sensors (Basel, Switzerland) · 2025Article
- Enhancing privacy in IoT-based healthcare using provable partitioned secure blockchain principle and encryption.Scientific reports · 2025Article
- Article
- Leveraging blockchain and IoMT for secure and interoperable electronic health records.Scientific reports · 2025Article
- Enhancing Cancer Care through Blockchain Technology.Asian Pacific journal of cancer prevention : APJCP · 2025Review
- AI Interventions to Alleviate Healthcare Shortages and Enhance Work Conditions in Critical Care: Qualitative Analysis.Journal of medical Internet research · 2025Article
- Exploring Technology Acceptance of Healthcare Devices: The Moderating Role of Device Type and Generation.Sensors (Basel, Switzerland) · 2024Article
- Green Wearable Sensors and Antennas for Bio-Medicine, Green Internet of Things, Energy Harvesting, and Communication Systems.Sensors (Basel, Switzerland) · 2024Article
- A comprehensive health assessment approach using ensemble deep learning model for remote patient monitoring with IoT.Scientific reports · 2024Article
- An Analysis of Blockchain-Based IoT Sensor Network Distributed Denial of Service Attacks.Sensors (Basel, Switzerland) · 2024Article
- Real-Time Monitoring of Underground Miners' Status Based on Mine IoT System.Sensors (Basel, Switzerland) · 2024Article
- IMU-Based Energy Expenditure Estimation for Various Walking Conditions Using a Hybrid CNN-LSTM Model.Sensors (Basel, Switzerland) · 2024Article
- Ethereum blockchain for electronic health records: securing and streamlining patient management.Frontiers in medicine · 2024Article
- Blockchain-Modeled Edge-Computing-Based Smart Home Monitoring System with Energy Usage Prediction.Sensors (Basel, Switzerland) · 2023Article
- State-of-the-Art Research in Blockchain of Things for HealthCare.Arabian journal for science and engineering · 2023Article
- Clinical application of a body area network-based smart bracelet for pre-hospital trauma care.Frontiers in medicine · 2023Article
- Usage of the Internet of Things in Medical Institutions and its Implications.Healthcare informatics research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over the past several years, many healthcare applications have been developed to enhancethe healthcare industry. Recent advancements in information technology and blockchain technologyhave revolutionized electronic healthcare research and industry. The innovation of miniaturizedhealthcare sensors for monitoring patient vital signs has improved and secured the human healthcaresystem. The increase in portable health devices has enhanced the quality of health-monitoringstatus both at an activity/fitness level for self-health tracking and at a medical level, providing moredata to clinicians with potential for earlier diagnosis and guidance of treatment. When sharingpersonal medical information, data security and comfort are essential requirements for interactionwith and collection of electronic medical records. However, it is hard for current systems to meetthese requirements because they have inconsistent security policies and access control structures.The new solutions should be directed towards improving data access, and should be managed bythe government in terms of privacy and security requirements to ensure the reliability of data formedical purposes. Blockchain paves the way for a revolution in the traditional pharmaceuticalindustry and benefits from unique features such as privacy and transparency of data. In this paper,we propose a novel platform for monitoring patient vital signs using smart contracts based onblockchain. The proposed system is designed and developed using hyperledger fabric, which isan enterprise-distributed ledger framework for developing blockchain-based applications. Thisapproach provides several benefits to the patients, such as an extensive, immutable history log, andglobal access to medical information from anywhere at any time. The Libelium e-Health toolkitis used to acquire physiological data. The performance of the designed and developed system isevaluated in terms of transaction per second, transaction latency, and resource utilization usinga standard benchmark tool known as Hyperledger Caliper. It is found that the proposed systemoutperforms the traditional health care system for monitoring patient data.
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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.