International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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AI-Enabled Telemedicine: Revolutionizing Chronic Disease Management with Remote Patient Monitoring Technologies

Author(s) Kiran Veernapu
Country United States
Abstract Chronic diseases such as diabetes, hypertension, heart disease, and chronic obstructive pulmonary disease (COPD) are prevalent worldwide, demanding innovative solutions for efficient management. Managing chronic diseases typically requires continuous monitoring, medication adjustments, and frequent visits to healthcare providers. Traditional in-person care, however, can be burdensome for both patients and healthcare systems. Telemedicine and remote patient monitoring (RPM) have revolutionized healthcare by offering patients the ability to receive continuous, personalized care outside of traditional clinical settings. Artificial Intelligence (AI) has emerged as a key technology, enhancing telemedicine and RPM in chronic disease management. The integration of AI into these technologies holds promise for enhancing disease management by offering real-time analytics, predictive capabilities, and personalized interventions. This systematic review seeks to provide an in-depth examination of the role of AI in telemedicine and RPM for chronic disease management, exploring its potential, challenges, and implications for future healthcare delivery. This paper presents a systematic review of the role of AI in telemedicine and RPM for chronic disease management, providing insights into its benefits, challenges, and future trends.
Keywords Telemedicine, AI, ML, Chronic Disease Management, Remote Patient Monitoring, Teleconsultation, remote monitoring devices, Mobile Health Applications
Field Medical / Pharmacy
Published In Volume 6, Issue 1, January-February 2024
Published On 2024-02-09
DOI https://doi.org/10.36948/ijfmr.2024.v06i01.37544
Short DOI https://doi.org/g85sr9
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E-ISSN 2582-2160
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