Internet of things (IoT) applications to fight against COVID-19 pandemic
Open accessAbstract
Background and aim The current global challenge of COVID-19 pandemic has surpassed the provincial, radical, conceptual, spiritual, social, and pedagogical boundaries. Internet of Things (IoT) enabled healthcare system is useful for proper monitoring of COVID-19 patients, by employing an interconnected network. This technology helps to increase patient satisfaction and reduces readmission rate in the hospital.Methods Searched the databases of Google Scholar, PubMed, SCOPUS and ResearchGate using the keywords "Internet of things" or "IoT" and "COVID-19". Further inputs are also taken from blogs and relevant reports.Results IoT implementation impacts on reducing healthcare cost and improve treatment outcome of the infected patient. Therefore, this present study based research is attempted to explore, discuss, and highlight the overall applications of the well-proven IoT philosophy by offering a perspective roadmap to tackle the COVID-19 pandemic. Finally, twelve significant applications of IoT are identified and discussed. It has ultimately forced the researchers, academicians, and scientists to propose some productive solutions to overcome or confront this pandemic.Conclusions IoT is helpful for an infected patient of COVID-19 to identify symptoms and provides better treatment rapidly. It is useful for patient, physician, surgeon and hospital management system.
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AI is transforming the healthcare domain by allowing clinicians to stay focused on the most critical patient care and requirements rather than being distracted by different priorities of the same patients.
“AI is transforming the healthcare domain by allowing clinicians to stay focused on the most critical patient care and requirements rather than being distracted by different priorities of the same patients [60,61].”
From Medical 4.0 technologies for healthcare: Features, capabilities, and applications (2022) · cites this paper as [61]
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- Authors
- Singh, R. P., Javaid, M., Haleem, A., & Suman, R.
- Affiliations
- Dr. B. R. Ambedkar National Institute of Technology Jalandhar (IN)
- Jamia Millia Islamia (IN)
- Govind Ballabh Pant University of Agriculture and Technology (IN)
- Corresponding author
- Javaid, Mohd
- Venue
- Diabetes & Metabolic Syndrome: Clinical Research & Reviews
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 14
- Issue
- 4
- Pages
- 521-524
- ISSN
- 1871-4021 (ISSN-L)
- PMC
- PMC7198990
- OpenAlex
- W3023398824
- Cited by
- 664
- References
- 24
- Citations by year
- 2026: 7 · 2025: 22 · 2024: 61 · 2023: 119 · 2022: 166 · 2021: 209 · 2020: 79 · 2019: 1
- FWCI
- 134.90
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Diabetes & Metabolic Syndrome Clinical Research & Reviews (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Information Systems › Healthcare during COVID-19 Pandemic
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- Internet of Things, COVID-19 pandemic, IoT-enabled healthcare, patient monitoring, telemedicine, healthcare cost reduction, hospital readmission, symptom recognition, IoT applications
- MeSH terms
- Betacoronavirus, Internet of Things, COVID-19, SARS-CoV-2, COVID-19 Testing, COVID-19 Drug Treatment, Delivery of Health Care, Humans, Pneumonia, Viral, Infection Control, Coronavirus Infections, Clinical Laboratory Techniques, Pandemics
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