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台湾最大公立医院在新冠疫情期间对9498名门诊患者进行每日互联网分诊的经验:观察性研究

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

作者信息

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

机构信息

Department of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan.

Information Management Office, Taipei Veterans General Hospital, Taipei, Taiwan.

出版信息

JMIR Med Inform. 2021 Jul 27;9(7):e20994. doi: 10.2196/20994.

DOI:10.2196/20994
PMID:34043524
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8317989/
Abstract

BACKGROUND

During 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.

OBJECTIVE

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

METHODS

An 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.

RESULTS

A 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.

CONCLUSIONS

An 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.

摘要

背景

在大流行期间,获取门诊患者的旅行、职业、接触史和聚集史是评估前来就诊患者疾病风险的最重要措施之一。以往在诊室获取这些信息的方式在预防疾病传播方面并不充分。

目的

本研究旨在展示一种通过互联网对门诊患者进行分诊的自动系统的部署。

方法

将一个自动系统纳入医院现有的基于网络的预约系统,并与其实地对应系统一起部署。每次尝试获取患者的旅行和接触史时,都会使用患者的身份证号码自动查询虚拟专用网络旅行和接触史数据库。有相关病史的患者被拒绝登记或进入。如果适用,会向没有相关病史的患者发送短信,告知其快速进入通道。

结果

共记录了127,857次就诊。在所有就诊中,91,195次是在网上登记的。其中共有71,816次生成了快速进入通道的短信。此外,虚拟专用网络数据库显示有65名患者有相关病史,他们被拒绝登记或进入。

结论

在台湾最大的学术医疗中心之一迅速部署了一个获取门诊患者相关旅行和接触史的自动分诊系统。更新后的系统成功拒绝了有相关旅行或接触史的患者进入医院,从而避免了医院外排起长队。可以进一步努力将该系统与电子病历系统集成。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca7f/8317989/3708a6e61221/medinform_v9i7e20994_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca7f/8317989/e4c597007ec3/medinform_v9i7e20994_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca7f/8317989/3708a6e61221/medinform_v9i7e20994_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca7f/8317989/e4c597007ec3/medinform_v9i7e20994_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca7f/8317989/3708a6e61221/medinform_v9i7e20994_fig2.jpg

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