Transformative impacts of AI and the IoTon healthcare delivery: methodologies, ethical considerations, and enhancement avenues
- Hari Mohan Rai,
- Aditya Pal,
- Kaustubh Kumar Shukla,
- ,
- Saule Amanzholova
- International Information Technology University,
- Dr. A.P.J. Abdul Kalam Technical University
Open access
Abstract
The healthcare field is undergoing an enormous transformation mainly a result of the integration of artificial intelligence (AI) and the Internet of Things (IoT). This study investigates AI's varied responsibilities, which include patient authorization, scheduling appointments, billing, revenue management, improving patient experience, monitoring bed availability, symptoms triage, and enabling online consultations. AI makes significant improvements to personalized medical care by assisting with the development of individualized treatment plans depending on individual genetic profiles, resulting in improved patient care. Additionally, IoT connects a diverse set of devices, promoting continuous data sharing, efficient operation, and enhanced patient care. However, the extensive use of AI and IoT in healthcare creates serious ethical and privacy concerns, especially over confidentiality and Integrity. The study highlights the importance of a balanced approach that optimizes the advantages of technological advances while protecting patient rights. Furthermore, it explores global trends in healthcare IoT, emphasizing how these breakthroughs are creating substantial changes in the industry. As AI and IoT grow, they could spark additional transformations in healthcare, bringing both potential and challenges. This study explores at the methodology underlying these technologies, the ethical issues they raise, and the potential they have for improving healthcare accessibility and patient outcomes.
Publication Information
Output type
Original language
EnglishPages from-to (Number of pages)
Pages 116-137 (22 pages)Journal (Volume, Issue Number)
Engineering Review (Volume 44, Issue 3)Publication milestones
- Accepted/In press - 22/10/2024
- Published - 02/12/2024
Publication status
ISSN
1330-9587External Publication IDs
- Scopus: 85214989832
