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<p>The integration of Internet of Things (IoT), Machine Learning (ML), and Deep Learning (DL) technologies in healthcare has revolutionized patient monitoring systems by enabling real-time data collection, analysis, and personalized medical interventions. The paper examined and discussed a review of remote and continuous patient monitoring, clinical diagnosis, and event detection. The identified many challenges that pose barriers to broad incidence and adopted some key challenges, data security, scalability, and interoperability. The paper presented an analysis of research studies that assessed the methods, with considerations of the merits and the risks and limitations. As part of the review, further issues arose with evidence of the need for suitable communication protocols, localisation, and scalable frameworks for the implementation of IoT-based healthcare systems. Any gaps as indicated in this review, were recommendations for further study about IoT-based healthcare monitoring systems and improving patient outcome.</p>

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A Review of Patient Health Care Monitoring System Based on Internet of Things

  • 期刊论文

  • 发表日期：

    2025年11月11日

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  • Padmavati Shivling Pise,
  • Ravindra Nemgonda Patil

摘要

The integration of Internet of Things (IoT), Machine Learning (ML), and Deep Learning (DL) technologies in healthcare has revolutionized patient monitoring systems by enabling real-time data collection, analysis, and personalized medical interventions. The paper examined and discussed a review of remote and continuous patient monitoring, clinical diagnosis, and event detection. The identified many challenges that pose barriers to broad incidence and adopted some key challenges, data security, scalability, and interoperability. The paper presented an analysis of research studies that assessed the methods, with considerations of the merits and the risks and limitations. As part of the review, further issues arose with evidence of the need for suitable communication protocols, localisation, and scalable frameworks for the implementation of IoT-based healthcare systems. Any gaps as indicated in this review, were recommendations for further study about IoT-based healthcare monitoring systems and improving patient outcome.