The DOI matches its Crossref record; 96 of the 96 references it cites were found in a registry or an index.
Internet of Things (IoT) enabled healthcare helps to take the challenges of COVID-19 Pandemic
Open accessAbstract
Background/objectives The Internet of Things (IoT) can create disruptive innovation in healthcare. Thus, during COVID-19 Pandemic, there is a need to study different applications of IoT enabled healthcare. For this, a brief study is required for research directions. Methods Research papers on IoT in healthcare and COVID-19 Pandemic are studied to identify this technology's capabilities. This literature-based study may guide professionals in envisaging solutions to related problems and fighting against the COVID-19 type pandemic. Results Briefly studied the significant achievements of IoT with the help of a process chart. Then identifies seven major technologies of IoT that seem helpful for healthcare during COVID-19 Pandemic. Finally, the study identifies sixteen basic IoT applications for the medical field during the COVID-19 Pandemic with a brief description of them. Conclusions In the current scenario, advanced information technologies have opened a new door to innovation in our daily lives. Out of these information technologies, the Internet of Things is an emerging technology that provides enhancement and better solutions in the medical field, like proper medical record-keeping, sampling, integration of devices, and causes of diseases. IoT's sensor-based technology provides an excellent capability to reduce the risk of surgery during complicated cases and helpful for COVID-19 type pandemic. In the medical field, IoT's focus is to help perform the treatment of different COVID-19 cases precisely. It makes the surgeon job easier by minimising risks and increasing the overall performance. By using this technology, doctors can easily detect changes in critical parameters of the COVID-19 patient. This information-based service opens up new healthcare opportunities as it moves towards the best way of an information system to adapt world-class results as it enables improvement of treatment systems in the hospital. Medical students can now be better trained for disease detection and well guided for the future course of action. IoT's proper usage can help correctly resolve different medical challenges like speed, price, and complexity. It can easily be customised to monitor calorific intake and treatment like asthma, diabetes, and arthritis of the COVID-19 patient. This digitally controlled health management system can improve the overall performance of healthcare during COVID-19 pandemic days.
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Citations
Cites
1 retracted
Rath, M., & Pattanayak, B. K. (2018) · International Journal of Human Rights in Healthcare · doi:10.1108/ijhrh-01-2018-0007 · Cited by 90
RetractedBig data analytics in healthcare: promise and potential
Raghupathi, W., & Raghupathi, V. (2014) · Health Information Science and Systems · doi:10.1186/2047-2501-2-3 · Cited by 3,034
Secure integration of IoT and Cloud Computing
Stergiou, C., Psannis, K. E., Kim, B.-G., & Gupta, B. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2016.11.031 · Cited by 1,094
Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare
Farahani, B., Firouzi, F., Chang, V., Badaroglu, M., Constant, N., & Mankodiya, K. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.04.036 · Cited by 983
Big Data and cloud computing: innovation opportunities and challenges
Yang, C., Huang, Q., Li, Z., Liu, K., & Hu, F. (2017) · International Journal of Digital Earth · doi:10.1080/17538947.2016.1239771 · Cited by 838
Cloud-assisted Industrial Internet of Things (IIoT) – Enabled framework for health monitoring
Hossain, M. S., & Muhammad, G. (2016) · Computer Networks · doi:10.1016/j.comnet.2016.01.009 · Cited by 773
Industry 4.0 technologies and their applications in fighting COVID-19 pandemic
Javaid, M., Haleem, A., Vaishya, R., Bahl, S., Suman, R., & Vaish, A. (2020) · Diabetes & Metabolic Syndrome: Clinical Research & Reviews · doi:10.1016/j.dsx.2020.04.032 · Cited by 758
BSN-Care: A Secure IoT-Based Modern Healthcare System Using Body Sensor Network
Gope, P., & Hwang, T. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2015.2502401 · Cited by 714
Internet of things (IoT) applications to fight against COVID-19 pandemic
Singh, R. P., Javaid, M., Haleem, A., & Suman, R. (2020) · Diabetes & Metabolic Syndrome: Clinical Research & Reviews · doi:10.1016/j.dsx.2020.04.041 · Cited by 664
Self-citationUbiquitous Data Accessing Method in IoT-Based Information System for Emergency Medical Services
Xu, B., Xu, L. D., Cai, H., Xie, C., Hu, J., & Bu, F. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2306382 · Cited by 615
Cited by
Medical 4.0 technologies for healthcare: Features, capabilities, and applications
Haleem, A., Javaid, M., Pratap Singh, R., & Suman, R. (2022) · Internet of Things and Cyber-Physical Systems · doi:10.1016/j.iotcps.2022.04.001 · Cited by 468
Self-citationThe Internet of Things (IoT) in healthcare: Taking stock and moving forward
Rejeb, A., Rejeb, K., Treiblmaier, H., Appolloni, A., Alghamdi, S., Alhasawi, Y., & Iranmanesh, M. (2023) · Internet of Things · doi:10.1016/j.iot.2023.100721 · Cited by 448
Significance of sensors for industry 4.0: Roles, capabilities, and applications
Javaid, M., Haleem, A., Singh, R. P., Rab, S., & Suman, R. (2021) · Sensors International · doi:10.1016/j.sintl.2021.100110 · Cited by 355
Self-citationWearable Healthcare and Continuous Vital Sign Monitoring with IoT Integration
Taherdoost, H. (2024) · Computers, Materials & Continua · doi:10.32604/cmc.2024.054378 · Cited by 47
Yoo, H. J., & Lee, H. (2022) · Journal of Nursing Management · doi:10.1111/jonm.13880 · Cited by 28
Metadata
- Authors
- Javaid, M., & Khan, I. H.
- Venue
- Journal of Oral Biology and Craniofacial Research
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 11
- Issue
- 2
- Pages
- 209-214
- ISSN
- 2212-4268 (ISSN-L)
- OpenAlex
- W3126925373
- Cited by
- 422
- References
- 96
- FWCI
- 79.71
- Type
- journal article
- Language
- en
- Open access
- green
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