Evidence map›Paper›PMID 34043524›Full record

ArticleJMIR medical informatics2021

Experiences With Internet Triaging of 9498 Outpatients Daily at the Largest Public Hospital in Taiwan During the COVID-19 Pandemic: Observational Study.

Ding-Heng Lu, Chia-An Hsu, Eunice J Yuan, Jun-Jeng Fen, Chung-Yuan Lee, Jin-Lain Ming, Tzeng-Ji Chen, Wui-Chiang Lee, Shih-Ann Chen

Abstract read
In one paragraph

Article in JMIR medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ding-Heng LuDepartment of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-5483-1585
Chia-An HsuDepartment of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID https://orcid.org/0000-0003-4221-7307
Eunice J YuanDepartment of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-8012-4120
Jun-Jeng FenInformation Management Office, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID https://orcid.org/0000-0001-9277-1619
Chung-Yuan LeeInformation Management Office, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-2559-7347
Jin-Lain MingDepartment of Nursing, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID https://orcid.org/0000-0001-7870-4460
Tzeng-Ji ChenDepartment of Medical Affairs and Planning, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-8350-0232
Wui-Chiang LeeDepartment of Medical Affairs and Planning, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID https://orcid.org/0000-0003-1421-079X
Shih-Ann ChenDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID https://orcid.org/0000-0001-9085-0823

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring pandemics, acquiring outpatients' travel, occupation, contact, and cluster histories is one of the most important measures in assessing the disease risk among incoming patients. Previous means of acquiring this information in the examination room have been insufficient in preventing disease spread.

objectiveThis study aimed to demonstrate the deployment of an automatic system to triage outpatients over the internet.

methodsAn automatic system was incorporated in the existing web-based appointment system of the hospital and deployed along with its on-site counterpart. Automatic queries to the virtual private network travel and contact history database with each patient's national ID number were made for each attempt to acquire the patient's travel and contact histories. Patients with relevant histories were denied registration or entry. Text messages were sent to patients without a relevant history for an expedited route of entry if applicable.

resultsA total of 127,857 visits were recorded. Among all visits, 91,195 were registered on the internet. In total, 71,816 of them generated text messages for an expedited route of entry. Furthermore, 65 patients had relevant histories, as revealed by the virtual private network database, and were denied registration or entry.

conclusionsAn automatic triage system to acquire outpatients' relevant travel and contact histories was deployed rapidly in one of the largest academic medical centers in Taiwan. The updated system successfully denied patients with relevant travel or contact histories entry to the hospital, thus preventing long lines outside the hospital. Further efforts could be made to integrate the system with the electronic medical record system.

Indexed as

COVID-19hospitalinformation servicesoutpatientspatientSARS-CoV-2triagevirus

Identifiers

PMID34043524
PMCPMC8317989

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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.