Abstract
This book chapter discusses how the Internet of Things (IoT) can revolutionize healthcare and help battle the COVID-19 pandemic. It highlights the IoT technologies that can be useful in healthcare during the pandemic and identifies potential fundamental IoT applications in the medical industry. The chapter emphasizes that the IoT is a promising technology that can provide better solutions in the medical field, including medical record-keeping, sample and device integration, and disease diagnosis. By leveraging the sensor-based technology of the IoT, healthcare professionals can reduce the risk of intervention in challenging circumstances, particularly during the COVID-19 pandemic. The IoT can help doctors identify changes in vital parameters of COVID-19 patients, leading to better diagnosis and treatment. Additionally, the IoT can enhance medical education and provide new opportunities to improve hospital treatment systems. Overall, the IoT can improve the overall healthcare performance during the COVID-19 pandemic and beyond. The development of IoT can help in predicting and preparing for future pandemics by utilizing statistical methodologies and integrating with artificial intelligence and Big Data. In the future, IoT could play a crucial role in transitioning healthcare from a reactive system to a proactive one.
| Original language | English |
|---|---|
| Title of host publication | Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques |
| Publisher | Elsevier |
| Pages | 347-369 |
| Number of pages | 23 |
| ISBN (Electronic) | 9780323953740 |
| ISBN (Print) | 9780323953733 |
| DOIs | |
| Publication status | Published - 01-01-2024 |
All Science Journal Classification (ASJC) codes
- General Immunology and Microbiology
Fingerprint
Dive into the research topics of 'Checking COVID-19 transmission using IoT'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver