TRANSFORMATIVE IMPACTS OF AI AND THE IOT ON HEALTHCARE DELIVERY: METHODOLOGIES, ETHICAL CONSIDERATIONS, AND ENHANCEMENT AVENUES

被引:0
作者
Rai, Hari Mohan [2 ,3 ]
Pal, Aditya [1 ]
Shukla, Kaustubh Kumar [3 ]
Moqurrab, Syed Atif [2 ]
Amanzholova, Saule [2 ]
机构
[1] Dronacharya Grp Inst, Dept Informat Technol, Greater Noida, India
[2] Int IT Univ, Dept Cyber Secur, Alma Ata, Kazakhstan
[3] Dronacharya Grp Inst, Dept ECE, Greater Noida, India
关键词
Internet of Things; Artificial Intelligence; AI in Healthcare; IoT in healthcare; Ethical considerations; IoT and AI Integration; Smart devices;
D O I
10.30765/er.2523
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:116 / 137
页数:22
相关论文
共 51 条
  • [1] Goel Ashish, AI: Injecting intelligence into healthcare, Accenture
  • [2] Healthcare IoT-Worldwide, Statista
  • [3] Bohr A., Memarzadeh K., The rise of artificial intelligence in healthcare applications, Artificial Intelligence in Healthcare, pp. 25-60, (2020)
  • [4] Yadav H., Shah D., Sayed S., Horton S., Schroeder L. F., Availability of essential diagnostics in ten low-income and middle-income countries: results from national health facility surveys, Lancet Glob Health, 9, 11, pp. e1553-e1560, (2021)
  • [5] Bajwa J., Munir U., Nori A., Williams B., Artificial intelligence in healthcare: transforming the practice of medicine, Future Healthc J, 8, 2, pp. e188-e194, (2021)
  • [6] Rai H. M., Atik-Ur-Rehman, A. Pal, S. Mishra, and K. K. Shukla, “Use of Internet of Things in the context of execution of smart city applications: a review, Discover Internet of Things, 3, 1, (2023)
  • [7] Li C., Wang J., Wang S., Zhang Y., A review of IoT applications in healthcare, Neurocomputing, 565, (2024)
  • [8] Healy D. A., Murphy S. P., Burke J. P., Coffey J. C., Artificial interfaces (‘AI’) in surgery: Historic development, current status and program implementation in the public health sector, Surg Oncol, 22, 2, pp. 77-85, (2013)
  • [9] Rai H. M., Chauhan M., Sharma H., Bhardwaj N., Kumar L., AgriBot: Smart Autonomous Agriculture Robot for Multipurpose Farming Application Using IOT, pp. 491-503, (2022)
  • [10] Keshta I., AI-driven IoT for smart health care: Security and privacy issues, Inform Med Unlocked, 30, (2022)