Evidence map›Paper›PMID 35251567›Full record

ArticleJournal of healthcare engineering2022

Design and Implementation of Intelligent Monitoring System for Head and Neck Surgery Care Based on Internet of Things (IoT).

Qiuxia Liu, Sujuan Hou, Lili Wei

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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, 10 citations in OpenAlex.

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

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Qiuxia LiuDepartment of Radiology, Tangshan Gongren Hospital, Angshan, Hebei 063000, China.
Sujuan HouDepartment of Radiology, Tangshan Gongren Hospital, Angshan, Hebei 063000, China.ORCID 0000-0001-9799-3624
Lili WeiDepartment of Radiology, Tangshan Gongren Hospital, Angshan, Hebei 063000, China.
Tangshan Gongren Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a chronic disease, cervical spondylosis is prone to recurrent attacks as we age if we do not pay attention to protection, which can easily lead to symptoms such as osteophytes and herniated discs. In the early stage of cervical spondylosis, it is possible to alleviate the disease and prevent its aggravation by improving poor cervical posture and increasing cervical activities. This article analyzes the current situation and medical prospect of smart wearable devices with the prevention and treatment of cervical spondylosis in white-collar people as the starting point and smart wearable devices as the focus and provides a detailed analysis of the functions, categories, technologies, and applications of smart wearable devices to provide a technical theoretical basis for the construction of the subsequent research system. For the user's health state, some other physiological parameters are sent to data also through mobile Internet, and the user's physiological information is obtained on the computer database in also, which not only provides the monitoring function for the user's health but also provides the information of medical big data elements for medical and health institutions and so on. This article elaborates the requirement analysis of this system, based on which the system architecture design and module division are elaborated. It provides a practical and theoretical basis for further realizing the seamless integration of IoT technology and nursing information management system and improving its depth and breadth in the application of nursing information management system. From the perspective of the way of quantification of nursing practice activities, real-time monitoring, scientific management, and intelligent decision-making, it provides the basis for achieving the quality of nursing services, reducing errors, reducing labor intensity, and improving work efficiency and clinical research.

Indexed as

Internet of ThingsSpondylosisWearable Electronic DevicesComputersHumansInternetMonitoring, Physiologic

Identifiers

PMID35251567
PMCPMC8890850
OpenAlexW4213422043

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.