ArticleJournal of biomedical informatics2017
Dashboard visualizations: Supporting real-time throughput decision-making.
Article in Journal of biomedical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Usability Evaluation of Dashboards: A Systematic Literature Review of Tools.BioMed research international · 2023Pooled it
- Requirements and challenges of hospital dashboards: a systematic literature review.BMC medical informatics and decision making · 2022Pooled it
- Toward a Learning Health Care System: A Systematic Review and Evidence-Based Conceptual Framework for Implementation of Clinical Analytics in a Digital Hospital.Applied clinical informatics · 2022Pooled it
- Integration of an Intensive Care Unit Visualization Dashboard (i-Dashboard) as a Platform to Facilitate Multidisciplinary Rounds: Cluster-Randomized Controlled Trial.Journal of medical Internet research · 2022Trial
- Evaluating the Return on Investment of U.S. Army Holistic Health and Fitness Performance Teams: A Matched Difference-in-Differences Study of Readiness and Economic Outcomes.Sports medicine (Auckland, N.Z.) · 2026Article
- EmergInsight: a real-time dashboard for optimizing emergency care through data visualization and analytics.JAMIA open · 2026Article
- VIEWER: an extensible visual analytics framework for enhancing mental healthcare.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Data Dashboard Acceptability, Use, and Perceived Effectiveness in Disseminating Local Overdose Data and Resources in a Rural New York State County: A Cross-Sectional Study.Online journal of public health informatics · 2025Article
- Building and Developing a Tool (PANDEM-2 Dashboard) to Strengthen Pandemic Management: Participatory Design Study.JMIR public health and surveillance · 2025Article
- Real-Time Analytics and AI for Managing No-Show Appointments in Primary Health Care in the United Arab Emirates: Before-and-After Study.JMIR formative research · 2025Article
- Impact of a Disease-Focused Electronic Health Record Dashboard on Clinical Staff Efficiency in Previsit Patient Review in an Ambulatory Pulmonary Hypertension Care Clinic.Applied clinical informatics · 2024Article
- Early development of local data dashboards to depict the substance use care cascade for youth involved in the legal system: qualitative findings from end users.BMC health services research · 2024Article
- Diagnosing an overcrowded emergency department from its Electronic Health Records.Scientific reports · 2024Article
- Artificial Intelligence-Based Diagnostic Support System for Patent Ductus Arteriosus in Premature Infants.Journal of clinical medicine · 2024Article
- Engaging Multidisciplinary Clinical Users in the Design of an Artificial Intelligence-Powered Graphical User Interface for Intensive Care Unit Instability Decision Support.Applied clinical informatics · 2023Article
- Opal: an implementation science tool for machine learning clinical decision support in anesthesia.Journal of clinical monitoring and computing · 2022Article
- Design and Implementation of a Comprehensive AI Dashboard for Real-Time Prediction of Adverse Prognosis of ED Patients.Healthcare (Basel, Switzerland) · 2022Article
- Development of a low-dimensional model to predict admissions from triage at a pediatric emergency department.Journal of the American College of Emergency Physicians open · 2022Article
- A Patient Outcomes-Driven Feedback Platform for Emergency Medicine Clinicians: Human-Centered Design and Usability Evaluation of Linking Outcomes Of Patients (LOOP).JMIR human factors · 2022Article
- BigMouth: development and maintenance of a successful dental data repository.Journal of the American Medical Informatics Association : JAMIA · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Providing timely and effective care in the emergency department (ED) requires the management of individual patients as well as the flow and demands of the entire department. Strategic changes to work processes, such as adding a flow coordination nurse or a physician in triage, have demonstrated improvements in throughput times. However, such global strategic changes do not address the real-time, often opportunistic workflow decisions of individual clinicians in the ED. We believe that real-time representation of the status of the entire emergency department and each patient within it through information visualizations will better support clinical decision-making in-the-moment and provide for rapid intervention to improve ED flow. This notion is based on previous work where we found that clinicians' workflow decisions were often based on an in-the-moment local perspective, rather than a global perspective. Here, we discuss the challenges of designing and implementing visualizations for ED through a discussion of the development of our prototype Throughput Dashboard and the potential it holds for supporting real-time decision-making.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.