Evidence map›Paper›PMID 39838732›Full record

ArticleJMIR human factors2025

Leveraging Smart Telemedicine Technology to Enhance Nursing Care Satisfaction and Revolutionize COVID-19 Care: Prospective Cohort Study.

You-Lung Chang, Chi-Ying Lin, Jiun Hsu, Sui-Ling Liao, Chun-Ti Yu, Hung-Chueh Peng, Chung-Yu Chen, Matthew Huei-Ming Ma, Juey-Jen Hwang

Abstract read
In one paragraph

Article in JMIR human factors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Technology's Impact on Nurse Manager Practices.Nursing administration quarterly
    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.

You-Lung Chang *Department of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Douliou, Yunlin County, Taiwan.ORCID 0000-0002-1603-9386
Chi-Ying Lin *Department of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Douliou, Yunlin County, Taiwan.ORCID 0000-0002-4016-9228
Jiun HsuMedical Information Technology Office, National Taiwan University Hospital Yunlin Branch, Yunlin County, Taiwan.ORCID 0000-0001-9615-0975
Sui-Ling LiaoDepartment of Nursing, National Taiwan University Hospital Yunlin Branch, Yunlin County, Taiwan.ORCID 0009-0005-1718-4322
Chun-Ti YuDepartment of Nursing, National Taiwan University Hospital Yunlin Branch, Yunlin County, Taiwan.ORCID 0000-0002-3102-6444
Hung-Chueh PengDepartment of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Douliou, Yunlin County, Taiwan.ORCID 0009-0006-8082-238X
Chung-Yu ChenDepartment of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Douliou, Yunlin County, Taiwan.ORCID 0000-0001-9002-7255
Matthew Huei-Ming MaDepartment of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Douliou, Yunlin County, Taiwan.ORCID 0000-0002-4388-9984
Juey-Jen HwangDepartment of Cardiovascular Medicine, Fu Jen Catholic University Hospital, New Taipei, Taiwan.ORCID 0000-0001-6437-0455

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Telemedicine has been utilized in the care of patients with COVID-19, allowing real-time remote monitoring of vital signs. This technology reduces the risk of transmission while providing high-quality care to both self-quarantined patients with mild symptoms and critically ill patients in hospitals. Objective: This study aims to investigate the application of telemedicine technology in the care of patients with COVID-19, specifically focusing on usability, effectiveness, and patient outcomes in both home isolation and hospital ward settings. Methods: The study was conducted between January 2022 and December 2022. More than 800 cases were monitored using the QOCA remote home care system, a telemedicine platform that enables remote monitoring of physiological data-including heart rate, blood pressure, temperature, and oxygen levels-through Internet of Things devices and a 4G-connected tablet. Of these, 27 patients participated in thie study: the QOCA remote home care system was deployed 36 times in the isolation ward and 21 times to those in home isolation. The QOCA remote care system monitored isolated cases through remote care packages and a 4G tablet. Case managers and physicians provided telemedicine appointments and medications. Innovative methods were developed to enhance usage, including online health education, remote care equipment instructions via QR core links, and video consultations for patients without smartphones. Results: A clinical nurse satisfaction survey revealed that most respondents found the content of the remote care package comprehensive and the interface easy to learn. They expressed a desire to continue using the system. The majority also agreed that using the remote care system and package would reduce their workload and that patients and caregivers could easily learn to use the package. While some respondents expressed concerns about network and Bluetooth connectivity, the majority (24/27, 89%) agreed to include the remote device as part of their routine equipment, with an average score of 84.8 points. Conclusions: The integration of telemedicine technology improves the quality of care while reducing the workload and exposure of health care workers to viruses.

Indexed as

COVID-19Nursing CarePatient SatisfactionTelemedicineAdultAgedFemaleHome Care ServicesHumansMaleMiddle AgedProspective StudiesSARS-CoV-2caregiverCOVID-19digital healthhealth educationhome-carehospital-careintelligent medical caremedical caremedical staffmHealthmobile healthnursing carepatientquality of carequarantineremote careremote equipmentremote monitoringscreeningsmart home caresmartphonetelemedicinetreatmentvideo consultationvital signs

Identifiers

PMID39838732
PMCPMC11774322

What OpenQuestion holds

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LicenceCC BY
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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.