AI-Enabled Remote Monitoring and Telemedicine: Redefining Patient Engagement and Care Delivery
DOI:
https://doi.org/10.53555/ephijse.v2i4.282Keywords:
AI in healthcare, Remote monitoring, Telemedicine, Patient engagementAbstract
Applied in telemedicine and remote monitoring, artificial intelligence (AI) revolutionized current medicine. Artificial intelligence driven early disease discovery, ongoing health monitoring, and better general patient outcomes are changing patient therapy. Artificial intelligence improves the efficacy of telemedicine systems and remote patient monitoring (RPM) systems by means of powerful machine learning algorithms and predictive analytics, therefore providing real-time insights that assist healthcare professionals to make informed decisions. Especially in view of the COVID-19 epidemic, the rising need for remote medical services has made artificial intelligence increasingly more important in healthcare. By means of automated diagnostics, virtual health assistants, and predictive health analytics driven by artificial intelligence, technologies enable far higher patient involvement and treatment regimen compliance. Moreover, these technologies help to lower hospital readmissions and maximize the use of healthcare resources, therefore saving a great deal of money. Many case studies clearly indicate how much telemedicine and remote monitoring enhanced by artificial intelligence help. Wearable gadgets with artificial intelligence algorithms have been able to identify early symptoms of chronic diseases such diabetes and heart diseases, allowing fast treatments. Particularly in disadvantaged areas, artificial intelligence-powered chatbots and virtual consultations have improved healthcare accessible by means of constant medical support. Future remote healthcare delivery is predicted to use artificial intelligence ever more in importance. Improved predictive analytics, artificial intelligence driven tailored treatment plans, artificial intelligence with Internet of Things (IoT) devices, and their combined impact define current developments. Still, if we are to fully embrace artificial intelligence-driven telemedicine, issues including legislative bottlenecks, data privacy hurdles, and the need for rigorous cybersecurity laws must be resolved. Emphasizing major benefits, pragmatic uses, and future improvements in this swiftly expanding sector, this study explores how artificial intelligence changes remote monitoring and telemedicine.
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