A tool to retrieve alert dwell time from a homegrown computerized physician order entry (CPOE) system of an academic medical center: An exploratory analysis

Shuo Chen Chien, Yen Po Chin, Chang Ho Yoon, Chun You Chen, Chun Kung Hsu, Chia Hui Chien, Yu Chuan Li

研究成果: 雜誌貢獻文章同行評審

3 引文 斯高帕斯(Scopus)

摘要

Alert dwell time, defined as the time elapsed from the generation of an interruptive alert to its closure, has rarely been used to describe the time required by clinicians to respond to inter-ruptive alerts. Our study aimed to develop a tool to retrieve alert dwell times from a homegrown CPOE (computerized physician order entry) system, and to conduct exploratory analysis on the impact of various alert characteristics on alert dwell time. Additionally, we compared this impact between various professional groups. With these aims, a dominant window detector was developed using the Golang programming language and was implemented to collect all alert dwell times from the homegrown CPOE system of a 726‐bed, Taiwanese academic medical center from December 2019 to February 2021. Overall, 3,737,697 interruptive alerts were collected. Correlation analysis was performed for alerts corresponding to the 100 most frequent alert categories. Our results showed that there was a negative correlation (ρ = −0.244, p = 0.015) between the number of alerts and alert dwell times. Alert dwell times were strongly correlated between different professional groups (phy-sician vs. nurse, ρ = 0.739, p < 0.001). A tool that retrieves alert dwell times can provide important insights to hospitals attempting to improve clinical workflows.
原文英語
文章編號12004
期刊Applied Sciences (Switzerland)
11
發行號24
DOIs
出版狀態已發佈 - 12月 2021

ASJC Scopus subject areas

  • 一般材料科學
  • 儀器
  • 一般工程
  • 製程化學與技術
  • 電腦科學應用
  • 流體流動和轉移過程

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