This paper is in the following e-collection/theme issue:

mHealth in a Clinical Setting (581)

Published on in Vol 6, No 11 (2018): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10666, first published .
A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study

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

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

Authors of this article:

Junsang Yoo1 Author Orcid Image ;   Kwang Yul Jung2 Author Orcid Image ;   Taerim Kim2 Author Orcid Image ;   Taerim Lee3 Author Orcid Image ;   Sung Yeon Hwang2 Author Orcid Image ;   Hee Yoon2 Author Orcid Image ;   Tae Gun Shin2 Author Orcid Image ;   Min Seob Sim2 Author Orcid Image ;   Ik Joon Jo2 Author Orcid Image ;   Hansol Paeng4 Author Orcid Image ;   Jong Soo Choi1, 5 Author Orcid Image ;   Won Chul Cha2, 5, 6 Author Orcid Image
Article Authors Cited by (24) Tweetations (5) Metrics

Journals

  1. Hur S, Lee J, Kim T, Choi J, Kang M, Chang D, Cha W. An Automated Fast Healthcare Interoperability Resources-Based 12-Lead Electrocardiogram Mobile Alert System for Suspected Acute Coronary Syndrome. Yonsei Medical Journal 2020;61(5):416 View
  2. Westphal M, Yom-Tov G, Parush A, Carmeli N, Shaulov A, Shapira C, Rafaeli A. A Patient-Centered Information System (myED) for Emergency Care Journeys: Design, Development, and Initial Adoption. JMIR Formative Research 2020;4(2):e16410 View
  3. Boillat T, Siebert J, Alduaij N, Ehrler F. GOFlow: Smartwatch app to deliver laboratory results in emergency departments – A feasibility study. International Journal of Medical Informatics 2020;134:104034 View
  4. Laurent G, Moussa M, Cirenei C, Tavernier B, Marcilly R, Lamer A. Development, implementation and preliminary evaluation of clinical dashboards in a department of anesthesia. Journal of Clinical Monitoring and Computing 2021;35(3):617 View
  5. Housbane S, Khoubila A, Ajbal K, Agoub M, Battas O, Othmani M. Real-Time Monitoring System to Manage Mental Healthcare Emergency Unit. Healthcare Informatics Research 2020;26(4):344 View
  6. Leonard F, Gilligan J, Barrett M. Predicting Admissions From a Paediatric Emergency Department – Protocol for Developing and Validating a Low-Dimensional Machine Learning Prediction Model. Frontiers in Big Data 2021;4 View
  7. Bolton M, Biltekoff E, Humphrey L. The Level of Measurement of Subjective Situation Awareness and Its Dimensions in the Situation Awareness Rating Technique (SART). IEEE Transactions on Human-Machine Systems 2022;52(6):1147 View
  8. Leonard F, Gilligan J, Barrett M. 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 2022;3(4) View
  9. Østervang C, Lassen A, Schmidt T, Coyne E, Dieperink K, Jensen C. Development of a health information system to promote emergency care pathways: A participatory design study. DIGITAL HEALTH 2022;8:205520762211458 View
  10. Tsai W, Liu C, Lin H, Hsu C, Ma Y, Chen C, Huang C, Chen C. Design and Implementation of a Comprehensive AI Dashboard for Real-Time Prediction of Adverse Prognosis of ED Patients. Healthcare 2022;10(8):1498 View
  11. Lim H, Austin J, van der Vegt A, Rahimi A, Canfell O, Mifsud J, Pole J, Barras M, Hodgson T, Shrapnel S, Sullivan C. 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 2022;13(02):339 View
  12. Zhuang M, Concannon D, Manley E. A Framework for Evaluating Dashboards in Healthcare. IEEE Transactions on Visualization and Computer Graphics 2022;28(4):1715 View
  13. Lai C, Li K, Hu F, Su P, Hsu I, Huang M, Huang Y, Liu P, Shen M. 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 2022;24(5):e35981 View
  14. Rabiei R, Almasi S. Requirements and challenges of hospital dashboards: a systematic literature review. BMC Medical Informatics and Decision Making 2022;22(1) View
  15. ALqurashi M, Al Thobaity A, Alzahrani F, Alasmari H. Nurses’ Experiences with an Electronic Tracking System in the Emergency Department: A Qualitative Study. Nursing: Research and Reviews 2022;Volume 12:223 View
  16. Walshe N, Ryng S, Drennan J, O'Connor P, O'Brien S, Crowley C, Hegarty J. Situation awareness and the mitigation of risk associated with patient deterioration: A meta-narrative review of theories and models and their relevance to nursing practice. International Journal of Nursing Studies 2021;124:104086 View
  17. Almasi S, Bahaadinbeigy K, Ahmadi H, Sohrabei S, Rabiei R, Jakovljevic M. Usability Evaluation of Dashboards: A Systematic Literature Review of Tools. BioMed Research International 2023;2023:1 View
  18. Strauss A, Morgan C, El Khuri C, Slogeris B, Smith A, Klein E, Toerper M, DeAngelo A, Debraine A, Peterson S, Gurses A, Levin S, Hinson J. 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 2022;9(1):e30130 View
  19. Park S, Yoo J, Lee Y, DeGuzman P, Kang M, Dykes P, Shin S, Cha W. Quantifying emergency department nursing workload at the task level using NASA-TLX: An exploratory descriptive study. International Emergency Nursing 2024;74:101424 View
  20. Azadmanjir Z, Sadeghi-Naini M, Dashtkoohi M, Moradi-Lakeh M, Arabkheradmand J, Harrop J, Rahimi-Movaghar V. The design of a quality improvement dashboard for monitoring spinal cord and column injuries. Informatics in Medicine Unlocked 2024;47:101489 View

Books/Policy Documents

  1. M. Wahi M, Dukach N. Open Data. View
  2. Abdulrazak B, Rezaei A. Digital Health Transformation, Smart Ageing, and Managing Disability. View