Enhancing Patient Health Through Smart IoT Technologies in Healthcare
Health care has been revolutionized by this rapid change in the field of the Internet of things that enable smart connected devices that provide better patient monitoring, diagnosis and treatment. IoT technologies facilitate collection of real time health data and remote patient monitoring, as well as prediction, thus improving overall healthcare outcomes. The ideas and concepts related to Chronic diseases, Diseases, Emergency, Detection and its management are greatly transformed by the presence of Wearable sensors, Smart Hospital infrastructures and AI powered Analytics. Meanwhile, healthcare systems driven by IoT are more efficient, reduce number of hospital readmissions, and provide telemedicine services. But, IoT in healthcare comes with a lot of challenges such as IoT security risks, patient privacy issues and multitude of interoperability problems. In this paper a comprehensive review of smart IoT technologies in healthcare, their applications and the type of benefits that weigh them for the patient care is provided. Along with exploring the role of data analytics in the IoT based decision making, data handling ethical implications and security threats in IoT healthcare systems introduced here. Moreover, beyond this, they discuss future directions including integration of AI, 5G enabled telemedicine, and blockchain for secure patient data management. This makes IoT an ideal candidate for healthcare transformation — one that addresses existing challenges and capitalize on emerging innovations to go from more efficient, more accessible, and definitely more patient-centric healthcare.
Authors
- Rajermani Thinakaran (ORCID: https://orcid.org/0000-0002-9525-8471)
- Monica Bhutani (ORCID: https://orcid.org/0000-0003-1924-3056)
- Yonis Gulzar (ORCID: https://orcid.org/0000-0002-6515-1569)
- Osman Elwasila
Publication Details
- Journal
- International Journal of Advanced Computer Science and Applications
- Published
- 2025-01-01
- DOI
- https://doi.org/10.14569/ijacsa.2025.0160744
- Primary Topic
- Internet of Things and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- King Faisal University