Literature DB >> 28579532

Dashboard visualizations: Supporting real-time throughput decision-making.

Amy Franklin1, Swaroop Gantela2, Salsawit Shifarraw3, Todd R Johnson4, David J Robinson5, Brent R King6, Amit M Mehta7, Charles L Maddow8, Nathan R Hoot9, Vickie Nguyen10, Adriana Rubio11, Jiajie Zhang12, Nnaemeka G Okafor13.   

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.
Copyright © 2017. Published by Elsevier Inc.

Entities:  

Keywords:  Cognitive informatics; Dashboards; Data visualization; Decision making; Emergency medicine; Throughput

Mesh:

Year:  2017        PMID: 28579532     DOI: 10.1016/j.jbi.2017.05.024

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  18 in total

1.  Web-Based Dashboard for the Interactive Visualization and Analysis of National Risk-Standardized Mortality Rates of Sepsis in the US.

Authors:  Meng-Tse Lee; Fong-Ci Lin; Szu-Ta Chen; Wan-Ting Hsu; Samuel Lin; Tzer-Shyong Chen; Feipei Lai; Chien-Chang Lee
Journal:  J Med Syst       Date:  2020-01-11       Impact factor: 4.460

2.  Improving Health Care Management in Hospitals Through a Productivity Dashboard.

Authors:  Miguel Pestana; Ruben Pereira; Sérgio Moro
Journal:  J Med Syst       Date:  2020-03-12       Impact factor: 4.460

3.  Using cloud-based, open-source technology to evaluate, improve, and rapidly disseminate community-based intervention data.

Authors:  Carlene A Mayfield; Margaret E Gigler; Leslie Snapper; Jainmary Jose; Jackie Tynan; Victoria C Scott; Michael Dulin
Journal:  J Am Med Inform Assoc       Date:  2020-11-01       Impact factor: 4.497

4.  The potential role of dashboard use and navigation in reducing medical errors of an electronic health record system: a mixed-method simulation handoff study.

Authors:  Danny T Y Wu; Smruti Deoghare; Zhe Shan; Karthikeyan Meganathan; Katherine Blondon
Journal:  Health Syst (Basingstoke)       Date:  2019-05-28

5.  Emergency Department Quality Dashboard; a Systematic Review of Performance Indicators, Functionalities, and Challenges.

Authors:  Sohrab Almasi; Reza Rabiei; Hamid Moghaddasi; Mojtaba Vahidi-Asl
Journal:  Arch Acad Emerg Med       Date:  2021-06-17

6.  Development of a low-dimensional model to predict admissions from triage at a pediatric emergency department.

Authors:  Fiona Leonard; John Gilligan; Michael J Barrett
Journal:  J Am Coll Emerg Physicians Open       Date:  2022-07-15

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

Authors:  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
Journal:  JMIR Mhealth Uhealth       Date:  2018-11-22       Impact factor: 4.773

8.  Usability Evaluation of Visual Representation Formats for Emergency Department Records.

Authors:  Nathaniel Brown; Aboozar Eghdam; Sabine Koch
Journal:  Appl Clin Inform       Date:  2019-06-26       Impact factor: 2.342

9.  Predicting Admissions From a Paediatric Emergency Department - Protocol for Developing and Validating a Low-Dimensional Machine Learning Prediction Model.

Authors:  Fiona Leonard; John Gilligan; Michael J Barrett
Journal:  Front Big Data       Date:  2021-04-16

10.  Development, implementation and preliminary evaluation of clinical dashboards in a department of anesthesia.

Authors:  Géry Laurent; Mouhamed D Moussa; Cédric Cirenei; Benoît Tavernier; Romaric Marcilly; Antoine Lamer
Journal:  J Clin Monit Comput       Date:  2020-05-16       Impact factor: 2.502

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