%0 Journal Article
%@ 2291-5222
%I JMIR Publications
%V 6
%N 11
%P e10666
%T A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study
%A Yoo,Junsang
%A Jung,Kwang Yul
%A Kim,Taerim
%A Lee,Taerim
%A Hwang,Sung Yeon
%A Yoon,Hee
%A Shin,Tae Gun
%A Sim,Min Seob
%A Jo,Ik Joon
%A Paeng,Hansol
%A Choi,Jong Soo
%A Cha,Won Chul
%+ Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81, Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea, 82 2 3410 2053, wc.cha@samsung.com
%K dashboard
%K development
%K emergency department
%K evaluation
%K health information technology
%K situation awareness
%K usability
%D 2018
%7 22.11.2018
%9 Original Paper
%J JMIR Mhealth Uhealth
%G English
%X 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. 
%M 30467100
%R 10.2196/10666
%U http://mhealth.jmir.org/2018/11/e10666/
%U https://doi.org/10.2196/10666
%U http://www.ncbi.nlm.nih.gov/pubmed/30467100