REMOTE MONITORING OF PATIENTS WITH CHRONIC DISEASES: UTILIZING AI TECHNOLOGY

  • Unique Paper ID: 187585
  • PageNo: 5791-5800
  • Abstract:
  • Artificial intelligence (AI) is an expanding domain with significant implications for the management of various chronic diseases. The principles of machine learning have been employed to develop algorithms that facilitate predictive models, assessing the risk of chronic disease onset and its associated complications. This review explores the incorporation of deep learning and reinforcement learning algorithms into remote patient monitoring systems, aiming to improve predictive accuracy, enhance decision-making processes, and provide personalized care for patients. Notably, advancements in Internet of Things technology, smart home automation, and healthcare systems have led to a shift in perspective, rendering in-person hospital visits less essential. Remote monitoring utilizes tele-monitoring devices within patients' homes, enabling the electronic transmission of clinical data to healthcare facilities. This innovative health intervention supports care in home or community settings, enhancing patients' self-management capabilities and overall satisfaction, thereby improving their quality of life. For individuals with chronic conditions, remote monitoring has been shown to increase disease-specific knowledge, prompt earlier clinical evaluations and treatments, and foster improved self-management and collaborative decision-making. Nevertheless, these advantages must be weighed against concerns regarding the potential loss of personal interaction and the increased personal responsibility associated with remote monitoring.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{187585,
        author = {Kriti Verma and Ashutosh Nandi and Shraddha Negi and Devanshu Kumar},
        title = {REMOTE MONITORING OF PATIENTS WITH CHRONIC DISEASES: UTILIZING AI TECHNOLOGY},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {5791-5800},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187585},
        abstract = {Artificial intelligence (AI) is an expanding domain with significant implications for the management of various chronic diseases. The principles of machine learning have been employed to develop algorithms that facilitate predictive models, assessing the risk of chronic disease onset and its associated complications. This review explores the incorporation of deep learning and reinforcement learning algorithms into remote patient monitoring systems, aiming to improve predictive accuracy, enhance decision-making processes, and provide personalized care for patients. Notably, advancements in Internet of Things technology, smart home automation, and healthcare systems have led to a shift in perspective, rendering in-person hospital visits less essential. Remote monitoring utilizes tele-monitoring devices within patients' homes, enabling the electronic transmission of clinical data to healthcare facilities. This innovative health intervention supports care in home or community settings, enhancing patients' self-management capabilities and overall satisfaction, thereby improving their quality of life. For individuals with chronic conditions, remote monitoring has been shown to increase disease-specific knowledge, prompt earlier clinical evaluations and treatments, and foster improved self-management and collaborative decision-making. Nevertheless, these advantages must be weighed against concerns regarding the potential loss of personal interaction and the increased personal responsibility associated with remote monitoring.},
        keywords = {AI, Chronic Diseases, Remote monitoring.},
        month = {November},
        }

Cite This Article

Verma, K., & Nandi, A., & Negi, S., & Kumar, D. (2025). REMOTE MONITORING OF PATIENTS WITH CHRONIC DISEASES: UTILIZING AI TECHNOLOGY. International Journal of Innovative Research in Technology (IJIRT), 12(6), 5791–5800.

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