Evidence map›Paper›PMID 38111799›Full record

ArticleHealthcare technology letters2023

Design and application of a novel telemedicine system jointly driven by multinetwork integration and remote control: Practical experience from PLAGH, China.

Ruiqing Wang, Jie Zhang, Shilin He, Huayuan Guo, Tao Li, Qin Zhong, Jun Ma, Jie Xu, Kunlun He

Abstract read
In one paragraph

Article in Healthcare technology letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ruiqing WangMedical Big Data Research Center Chinese PLA General Hospital Beijing China.ORCID https://orcid.org/0009-0000-7431-262X
Jie ZhangMedical Engineering Department Chinese PLA General Hospital Beijing China.
Shilin HeInformation Department Hainan Hospital of Chinese PLA General Hospital Beijing China.
Huayuan GuoMedical Big Data Research Center Chinese PLA General Hospital Beijing China.
Tao LiMedical Big Data Research Center Chinese PLA General Hospital Beijing China.
Qin ZhongMedical Big Data Research Center Chinese PLA General Hospital Beijing China.
Jun MaBeijing HongYun RongTong Technology Co., Ltd Beijing China.
Jie XuBeijing HongYun RongTong Technology Co., Ltd Beijing China.
Kunlun HeMedical Big Data Research Center Chinese PLA General Hospital Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In China, several problems were common in the telemedicine systems, such as the poor network stability and difficult interconnection. A new telemedicine system jointly driven by multinetwork integration and remote control has been designed to address these problems. A multilink aggregation algorithm and an overlay network for telemedicine system (ONTMS) were developed to improve network stability, and a non-intervention remote control method was designed for Internet of Things (IoT) devices/systems. The authors monitored the network parameters, and distributed the questionnaire to participants, for evaluating the telemedicine system and services. Under a detection bandwidth of 8 Mbps, the aggregation parameters of Unicom 4G, Telecom 4G, and China Mobile 4G were optimal, with an uplink bandwidth, delay, and packet loss ratio (PLR) of 7.93 Mbps, 58.80 ms, and 0.06%, respectively. These parameters were significantly superior to those of China Mobile 4G, the best single network (

Indexed as

data communicationemergency managementInternet of Thingsmedical information systemspatient diagnosispatient treatmenttelemedicine

Identifiers

PMID38111799
PMCPMC10725722

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.