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Review
. 2021 Jun 19:2021:9971960.
doi: 10.1155/2021/9971960. eCollection 2021.

Remote Care Assistance in Emergency Department Based on Smart Medical

Chengli Zhou  1 , Juan Hu  1 , Ni Chen  1
Affiliations
Review

Remote Care Assistance in Emergency Department Based on Smart Medical

Chengli Zhou et al. J Healthc Eng. .

Retraction in

Abstract

Smart medical care is user-centric, medical information is the main line, and big data, Internet of Things, cloud computing, artificial intelligence, and other technologies are used to establish scientific and accurate information, as well as an efficient and reasonable medical service system. Smart medical plays an important role in alleviating doctor-patient conflicts caused by information asymmetry, regional health differences caused by irrational allocation of medical resources, and improving medical service levels. This article mainly introduces the remote care assistance system of emergency department based on smart medical and intends to provide some ideas and directions for the technical research of patients in emergency department receiving remote care. This paper proposes a research method for remote care assistance in emergency departments based on smart medical, including an overview of remote care based on smart medical, remote care sensor real-time monitoring algorithms based on smart medical, signal detection algorithms, and signal clustering algorithms for smart medical. Remote care in the emergency department assisted in research experiments. The experimental results show that 86.0% of patients like the remote care system based on smart medical studied in this paper.

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Conflict of interest statement

The authors declare that they have no conflicts of interest regarding the publication of this study.

Figures

Figure 1
Figure 1
Smart medical remote care system.
Figure 2
Figure 2
Some steps of the experiment in this article.
Figure 3
Figure 3
Sample detection rate.
Figure 4
Figure 4
Algorithm detection average running time (s).
Figure 5
Figure 5
Test packet loss rate with obstacles.
Figure 6
Figure 6
Accessibility test packet loss rate.
Figure 7
Figure 7
Patient feedback.
See this image and copyright information in PMC

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