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A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study
BACKGROUND: The task of monitoring and managing the entire emergency department (ED) is becoming more important due to increasing pressure on the ED. Recently, dashboards have received the spotlight as health information technology to support these tasks. OBJECTIVE: This study aimed to describe the...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6284143/ https://www.ncbi.nlm.nih.gov/pubmed/30467100 http://dx.doi.org/10.2196/10666 |
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author | Yoo, Junsang Jung, Kwang Yul Kim, Taerim Lee, Taerim Hwang, Sung Yeon Yoon, Hee Shin, Tae Gun Sim, Min Seob Jo, Ik Joon Paeng, Hansol Choi, Jong Soo Cha, Won Chul |
author_facet | Yoo, Junsang Jung, Kwang Yul Kim, Taerim Lee, Taerim Hwang, Sung Yeon Yoon, Hee Shin, Tae Gun Sim, Min Seob Jo, Ik Joon Paeng, Hansol Choi, Jong Soo Cha, Won Chul |
author_sort | Yoo, Junsang |
collection | PubMed |
description | BACKGROUND: The task of monitoring and managing the entire emergency department (ED) is becoming more important due to increasing pressure on the ED. Recently, dashboards have received the spotlight as health information technology to support these tasks. OBJECTIVE: This study aimed to describe the development of a real-time autonomous dashboard for the ED and to evaluate perspectives of clinical staff on its usability. METHODS: We developed a dashboard based on three principles—“anytime, anywhere, at a glance;” “minimal interruption to workflow;” and “protect patient privacy”—and 3 design features—“geographical layout,” “patient-level alert,” and “real-time summary data.” Items to evaluate the dashboard were selected based on the throughput factor of the conceptual model of ED crowding. Moreover, ED physicians and nurses were surveyed using the system usability scale (SUS) and situation awareness index as well as a questionnaire we created on the basis of the construct of the Situation Awareness Rating Technique. RESULTS: The first version of the ED dashboard was successfully launched in 2013, and it has undergone 3 major revisions since then because of geographical changes in ED and modifications to improve usability. A total of 52 ED staff members participated in the survey. The average SUS score of the dashboard was 67.6 points, which indicates “OK-to-Good” usability. The participants also reported that the dashboard provided efficient “concentration support” (4.15 points), “complexity representation” (4.02 points), “variability representation” (3.96 points), “information quality” (3.94 points), and “familiarity” (3.94 points). However, the “division of attention” was rated at 2.25 points. CONCLUSIONS: We developed a real-time autonomous ED dashboard and successfully used it for 5 years with good evaluation from users. |
format | Online Article Text |
id | pubmed-6284143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-62841432019-01-03 A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study Yoo, Junsang Jung, Kwang Yul Kim, Taerim Lee, Taerim Hwang, Sung Yeon Yoon, Hee Shin, Tae Gun Sim, Min Seob Jo, Ik Joon Paeng, Hansol Choi, Jong Soo Cha, Won Chul JMIR Mhealth Uhealth Original Paper BACKGROUND: The task of monitoring and managing the entire emergency department (ED) is becoming more important due to increasing pressure on the ED. Recently, dashboards have received the spotlight as health information technology to support these tasks. OBJECTIVE: This study aimed to describe the development of a real-time autonomous dashboard for the ED and to evaluate perspectives of clinical staff on its usability. METHODS: We developed a dashboard based on three principles—“anytime, anywhere, at a glance;” “minimal interruption to workflow;” and “protect patient privacy”—and 3 design features—“geographical layout,” “patient-level alert,” and “real-time summary data.” Items to evaluate the dashboard were selected based on the throughput factor of the conceptual model of ED crowding. Moreover, ED physicians and nurses were surveyed using the system usability scale (SUS) and situation awareness index as well as a questionnaire we created on the basis of the construct of the Situation Awareness Rating Technique. RESULTS: The first version of the ED dashboard was successfully launched in 2013, and it has undergone 3 major revisions since then because of geographical changes in ED and modifications to improve usability. A total of 52 ED staff members participated in the survey. The average SUS score of the dashboard was 67.6 points, which indicates “OK-to-Good” usability. The participants also reported that the dashboard provided efficient “concentration support” (4.15 points), “complexity representation” (4.02 points), “variability representation” (3.96 points), “information quality” (3.94 points), and “familiarity” (3.94 points). However, the “division of attention” was rated at 2.25 points. CONCLUSIONS: We developed a real-time autonomous ED dashboard and successfully used it for 5 years with good evaluation from users. JMIR Publications 2018-11-22 /pmc/articles/PMC6284143/ /pubmed/30467100 http://dx.doi.org/10.2196/10666 Text en ©Junsang Yoo, Kwang Yul Jung, Taerim Kim, Taerim Lee, Sung Yeon Hwang, Hee Yoon, Tae Gun Shin, Min Seob Sim, Ik Joon Jo, Hansol Paeng, Jong Soo Choi, Won Chul Cha. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 22.11.2018. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Yoo, Junsang Jung, Kwang Yul Kim, Taerim Lee, Taerim Hwang, Sung Yeon Yoon, Hee Shin, Tae Gun Sim, Min Seob Jo, Ik Joon Paeng, Hansol Choi, Jong Soo Cha, Won Chul A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study |
title | A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study |
title_full | A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study |
title_fullStr | A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study |
title_full_unstemmed | A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study |
title_short | A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study |
title_sort | real-time autonomous dashboard for the emergency department: 5-year case study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6284143/ https://www.ncbi.nlm.nih.gov/pubmed/30467100 http://dx.doi.org/10.2196/10666 |
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