Evidence map›Paper›PMID 39065830›Full record

ArticleSensors (Basel, Switzerland)2024

Non-Invasive Sensors Integration for NCDs with AIoT Based Telemedicine System.

Chavis Srichan, Pobporn Danvirutai, Noppakun Boonsim, Ariya Namvong, Chayada Surawanitkun, Chanachai Ritsongmuang, Apirat Siritaratiwat, Sirirat Anutrakulchai

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

8 authors.

Chavis SrichanFaculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand.
Pobporn DanvirutaiChronic Kidney Disease Prevention in Northeast Thailand, Khon Kaen University, Khon Kaen 40002, Thailand.ORCID 0000-0002-7806-7390
Noppakun BoonsimFaculty of Interdisciplinary Studies, Khon Kaen University, Nong Khai Campus, Nong Khai 43000, Thailand.ORCID 0000-0002-3326-7815
Ariya NamvongFaculty of Interdisciplinary Studies, Khon Kaen University, Nong Khai Campus, Nong Khai 43000, Thailand.ORCID 0000-0001-5059-3252
Chayada SurawanitkunFaculty of Interdisciplinary Studies, Khon Kaen University, Nong Khai Campus, Nong Khai 43000, Thailand.ORCID 0000-0001-9485-1313
Chanachai RitsongmuangBureau of Academic Services, Khon Kaen University, Khon Kaen 40002, Thailand.
Apirat SiritaratiwatFaculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand.
Sirirat AnutrakulchaiChronic Kidney Disease Prevention in Northeast Thailand, Khon Kaen University, Khon Kaen 40002, Thailand.

Funding

Thailand Science Research and Innovation (TSRI) through the Program Management Unit for Competitiveness (PMUC) C10F630030
6 · The paper itself

Abstract

Thailand's hospitals face overcrowding, particularly with non-communicable disease (NCD) patients, due to a doctor shortage and an aging population. Most literature showed implementation merely on web or mobile application to teleconsult with physicians. Instead, in this work, we developed and implemented a telemedicine health kiosk system embedded with non-invasive biosensors and time-series predictors to improve NCD indicators over an eight-month period. Two cohorts were randomly selected: a control group with usual care and a telemedicine-using group. The telemedicine-using group showed significant improvements in average fasting blood glucose (148 to 130 mg/dL) and systolic blood pressure (152 to 138 mmHg). Data mining with the Apriori algorithm revealed correlations between diseases, occupations, and environmental factors, informing public health policies. Communication between kiosks and servers used LoRa, 5G, and IEEE802.11, which are selected based on the distance and signal availability. The results support telemedicine kiosks as effective for NCD management, significantly improving key NCD indicators, average blood glucose, and blood pressure.

Indexed as

Blood GlucoseBlood PressureNoncommunicable DiseasesTelemedicineAlgorithmsBiosensing TechniquesFemaleHumansMaleMiddle AgedBlood Glucosebiomedical engineeringdata miningeHealthlong short-term memorynoncommunicable diseasesnon-invasive sensorspoint of caretelehealthtelemedicinetelemedicine kiosks

Identifiers

PMID39065830
PMCPMC11281239

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.