IoT and AI in Remote Patient Monitoring: Applications, Clinical Effectiveness and Challenges

EasyChair Preprint 5889

Abstract

Smart healthcare provides patients with access to high-quality health services in safe environments regardless of geographical barrier. Remote patient monitoring helps the patients receive adequate monitoring from their clinicians in remote health offices with continuous medical data analysis and real-time diagnosis. This approach is expected to replace the casual healthcare management of some diseases and takes the Internet of Things technology as backbone of the patient monitoring systems with integrated Artificial Intelligence for clinical decision support. The purpose of this paper is to explore the applications of remote monitoring systems, its clinical effectiveness and the associated challenges.

Keyphrases: AI, IoT, Remote Healthcare, Remote Patient Monitoring, machine learning

@booklet{EasyChair:5889,
  author    = {Vy H T Vu},
  title     = {IoT and AI in Remote Patient Monitoring: Applications, Clinical Effectiveness and Challenges},
  howpublished = {EasyChair Preprint 5889},
  year      = {EasyChair, 2021}}