ArticleInternet of things (Amsterdam, Netherlands)2022
A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home.
Article in Internet of things (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 106 citations in OpenAlex.
- A systematic review and knowledge mapping on ICT-based remote and automatic COVID-19 patient monitoring and care.BMC health services research · 2023Pooled it
- Convergence of blockchain and IoT for managing decentralized medical records.Scientific reports · 2025Article
- Modifications to the National Early Warning Score 2: a Scoping Review.BMC medicine · 2025Article
- The role of blockchain to secure internet of medical things.Scientific reports · 2024Article
- A tree-based explainable AI model for early detection of Covid-19 using physiological data.BMC medical informatics and decision making · 2024Article
- Unlocking Insights in IoT-Based Patient Monitoring: Methods for Encompassing Large-Data Challenges.Sensors (Basel, Switzerland) · 2023Article
- Digital health in smart cities: Rethinking the remote health monitoring architecture on combining edge, fog, and cloud.Health and technology · 2023Article
- COVICT: an IoT based architecture for COVID-19 detection and contact tracing.Journal of ambient intelligence and humanized computing · 2023Article
- Real-Time Learning and Monitoring System in Fighting against SARS-CoV-2 in a Private Indoor Environment.Sensors (Basel, Switzerland) · 2022Article
- Remotely Monitoring COVID-19 Patient Health Condition Using Metaheuristics Convolute Networks from IoT-Based Wearable Device Health Data.Sensors (Basel, Switzerland) · 2022Article
- Remote Monitoring of COVID-19 Patients Using Multisensor Body Area Network Innovative System.Computational intelligence and neuroscience · 2022Article
- SHUBHCHINTAK: An efficient remote health monitoring approach for elderly people.Multimedia tools and applications · 2022Article
- A study to introduce National Early Warning Scores (NEWS) in care homes: Influence on decision-making and referral processes.Nursing open · 2022Article
- IoT-Based Smart Health Monitoring System for COVID-19.SN computer science · 2022Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Due to the COVID-19 pandemic, health services around the globe are struggling. An effective system for monitoring patients can improve healthcare delivery by avoiding in-person contacts, enabling early-detection of severe cases, and remotely assessing patients' status. Internet of Things (IoT) technologies have been used for monitoring patients' health with wireless wearable sensors in different scenarios and medical conditions, such as noncommunicable and infectious diseases. Combining IoT-related technologies with early-warning scores (EWS) commonly utilized in infirmaries has the potential to enhance health services delivery significantly. Specifically, the NEWS-2 has been showing remarkable results in detecting the health deterioration of COVID-19 patients. Although the literature presents several approaches for remote monitoring, none of these studies proposes a customized, complete, and integrated architecture that uses an effective early-detection mechanism for COVID-19 and that is flexible enough to be used in hospital wards and at home. Therefore, this article's objective is to present a comprehensive IoT-based conceptual architecture that addresses the key requirements of scalability, interoperability, network dynamics, context discovery, reliability, and privacy in the context of remote health monitoring of COVID-19 patients in hospitals and at home. Since remote monitoring of patients at home (essential during a pandemic) can engender trust issues regarding secure and ethical data collection, a consent management module was incorporated into our architecture to provide transparency and ensure data privacy. Further, the article details mechanisms for supporting a configurable and adaptable scoring system embedded in wearable devices to increase usefulness and flexibility for health care professions working with EWS.
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