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Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges.

Nora El-Rashidy1, Shaker El-Sappagh2,3, S M Riazul Islam4

  • 1Machine Learning and Information Retrieval Department, Faculty of Artificial Intelligence, Kafrelsheiksh University, Kafrelsheiksh 13518, Egypt.

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Summary

Remote patient monitoring (RPM) leverages wearable sensors to collect vital signs, improving healthcare delivery and reducing costs. This technology enhances diagnosis speed and offers a more efficient approach to managing chronic diseases.

Keywords:
AIclinical-decision support systemcloud computingelectronic healthelectronic health recordinternet of thingsremote patient monitoringwireless body area network

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Area of Science:

  • Biomedical Engineering
  • Health Informatics
  • Digital Health

Background:

  • Chronic diseases are increasing globally, straining healthcare systems and patient resources.
  • Frequent hospital visits for treatment and monitoring create significant burdens.
  • Advancements in wearable sensors and communication protocols are transforming healthcare delivery.

Purpose of the Study:

  • To outline research directions in remote patient monitoring (RPM).
  • To explain the role of Artificial Intelligence (AI) in developing RPM systems.
  • To provide an overview of RPM's state-of-the-art, benefits, challenges, and future directions.

Main Methods:

  • Systematic literature review using PRISMA methodology.
  • Searched five databases: Science Direct, IEEE-Explore, Springer, PubMed, Science.gov.
  • Analyzed 56 articles using keywords: RPM, data mining, AI, cloud computing, IoT, WBAN.

Main Results:

  • Remote patient monitoring (RPM) is effective in enhancing healthcare delivery.
  • RPM systems demonstrate increased diagnosis speed.
  • RPM contributes to significant cost reductions in healthcare.

Conclusions:

  • RPM is a transformative technology for managing chronic diseases.
  • AI plays a crucial role in the advancement and effectiveness of RPM systems.
  • Further research and development in RPM offer enhanced solutions for chronic disease management.