About: A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study

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About: A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study
Creator	Yoon, Hee Kim, Taerim Lee, Taerim Paeng, Hansol Yoo, Junsang Cha, Won Choi, Jong Hwang, Sung Jo, Ik Shin, Tae Sim, Min Franklin, Amy Jung, Kwang Staib, Andrew Dias, Casimiro Jones, Josette Randell, Rebecca
Source	Medline; PMC
abstract	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.
has issue date	2018-11-22(xsd:dateTime)
bibo:doi	10.2196/10666
bibo:pmid	30467100
has license	cc-by
schema:url	https://doi.org/10.2196/10666
resource representing a document's title	A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study
has PubMed Central identifier	PMC6284143
has PubMed identifier	30467100
schema:publication	JMIR Mhealth Uhealth
resource representing a document's body	covid:PMC6284143#body_text
is schema:about of	named entity 'Dashboard' named entity 'situation awareness' named entity 'long-term' named entity 'triage' named entity 'X-ray' named entity 'workflow' named entity 'clinical setting' named entity 'strategic approach' named entity 'situational awareness' named entity 'summary statistics' named entity 'statistical concepts' named entity 'SUS' named entity 'visualization project' named entity 'situation awareness' named entity 'SUS' named entity 'Middle East Respiratory Syndrome' named entity 'emergency department' named entity 'mental workload' named entity 'usability test' named entity 'usability' named entity 'systematic investigation' named entity 'decision making' named entity 'computed tomography' named entity 'questionnaire' named entity 'long-term' named entity '4.02' named entity 'morbidity' named entity 'electronic medical records' named entity 'emergency medical' named entity 'triage' named entity 'SUS' named entity 'multidisciplinary' named entity 'decision making' named entity 'SART' named entity 'Seoul' named entity 'usability' named entity 'Intel Xeon' named entity 'health information technology' named entity 'usability' named entity 'Windows' named entity 'electronic medical records' named entity 'mobile devices' named entity 'patient-centeredness' named entity 'Emergency Room' named entity 'usability' named entity 'Emergency Room' named entity 'barcode' named entity 'usability' named entity 'decision making' named entity 'patient care' named entity 'consent form' named entity 'patient safety' named entity 'SART' named entity 'supply-demand' named entity 'Situation Awareness' named entity 'hard drive' named entity 'interactivity' named entity 'burnout' named entity '2.25' named entity 'complex systems' named entity 'situation awareness' named entity 'deidentified' named entity 'workflow' named entity 'infection' named entity 'SUS' named entity 'performance status'

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