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

EasyChair Preprint no. 5889

5 pagesDate: June 23, 2021

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, machine learning, Remote Healthcare, Remote Patient Monitoring

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:5889,
  author = {Vy H T Vu},
  title = {IoT and AI in Remote Patient Monitoring: Applications, Clinical Effectiveness and Challenges},
  howpublished = {EasyChair Preprint no. 5889},

  year = {EasyChair, 2021}}
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