Literature Review on Real-Time Dashboard Systems in Healthcare and Education

Year : 2025 | Volume : 12 | Issue : 03 | Page : 01 05
    By

    Neha Nitin Wagh,

  • Darshan Ranjeet Desale,

  • Chetana Mukesh Sonawane,

  • Digvijaysing Devendra Rajput,

  • Kiran Dinkar Chaudhari,

  1. Student (B. Tech), Department of Artificial Intelligence and Machine Learning, Shirpur Education Society’s R. C. Patel Institute of Technology, Shirpur, Maharashtra, India
  2. Student (B. Tech), Department of Artificial Intelligence and Machine Learning, Shirpur Education Society’s R. C. Patel Institute of Technology, Shirpur, Maharashtra, India
  3. Student (B. Tech), Department of Artificial Intelligence and Machine Learning, Shirpur Education Society’s R. C. Patel Institute of Technology, Shirpur, Maharashtra, India
  4. Student (B. Tech), Department of Artificial Intelligence and Machine Learning, Shirpur Education Society’s R. C. Patel Institute of Technology, Shirpur, Maharashtra, India
  5. Assistant Professor, Department of Data Science, R. C. Patel Institute of Technology, Shirpur, Maharashtra, India

Abstract

Real-time dashboards are revolutionizing data analysis and visualization within education and healthcare, highlighting the realms of online learning analytics and emergency medicine. Such systems maximize decision-making power, efficiency of workflows, and awareness in real time. The literature review below explores diverse methodologies, benefits, and pitfalls, and presents suggestions for potential avenues for research in the future. Growing access to data and advancements in visualization and analytics technologies have given rise to powerful dashboards that support better situational awareness and timely interventions. This review considers the design elements, implementation methodologies, and assessment techniques applied for developing real-time dashboards across healthcare and educational contexts. The review detects strengths and limitations, common challenges, and future research opportunities. The aim is to present an all-around view of existing real-time dashboard systems, which will lay the ground for more useful applications in these essential fields.

Keywords: Real-time dashboards, data visualization, healthcare analytics, emergency medicine, online learning analytics

[This article belongs to Journal of Software Engineering Tools & Technology Trends ]

How to cite this article:
Neha Nitin Wagh, Darshan Ranjeet Desale, Chetana Mukesh Sonawane, Digvijaysing Devendra Rajput, Kiran Dinkar Chaudhari. Literature Review on Real-Time Dashboard Systems in Healthcare and Education. Journal of Software Engineering Tools & Technology Trends. 2025; 12(03):01-05.
How to cite this URL:
Neha Nitin Wagh, Darshan Ranjeet Desale, Chetana Mukesh Sonawane, Digvijaysing Devendra Rajput, Kiran Dinkar Chaudhari. Literature Review on Real-Time Dashboard Systems in Healthcare and Education. Journal of Software Engineering Tools & Technology Trends. 2025; 12(03):01-05. Available from: https://journals.stmjournals.com/josettt/article=2025/view=227074


References

  1. Khairat SS, Dukkipati A, Lauria HA, Bice T, Travers D, Carson SS. The impact of visualization dashboards on quality of care and clinician satisfaction: integrative literature review. JMIR Hum Factors. 2018 May 31; 5(2): e9328.
  2. Alfredo R, et al. Human-centred learning analytics and AI in education: A systematic literature review. Comput Educ: Artif Intell. 2024; 6: 100215.
  3. Stehle S, Kitchin R. Real-time and archival data visualisation techniques in city dashboards. Int J Geogr Inf Sci. 2020 Feb 1; 34(2): 344–66.
  4. Elshehaly M, Randell R, Brehmer M, McVey L, Alvarado N, Gale CP, Ruddle RA. QualDash: Adaptable generation of visualisation dashboards for healthcare quality improvement. IEEE Trans Vis Comput Graph. 2020 Oct 13; 27(2): 689–99.
  5. Zhuang M, Concannon D, Manley E. A framework for evaluating dashboards in healthcare. IEEE Trans Vis Comput Graph. 2022 Feb 25; 28(4): 1715–31.
  6. Kumar SM, Belwal M. Performance dashboard: Cutting-edge business intelligence and data visualization. In 2017 IEEE International Conference On Smart Technologies For Smart Nation (SmartTechCon). 2017 Aug 17; 1201–1207.
  7. Franklin A, Gantela S, Shifarraw S, Johnson TR, Robinson DJ, King BR, Mehta AM, Maddow CL, Hoot NR, Nguyen V, Rubio A. Dashboard visualizations: Supporting real-time throughput decision-making. J Biomed Inform. 2017 Jul 1; 71: 211–21.
  8. Yoo J, Jung KY, Kim T, Lee T, Hwang SY, Yoon H, Shin TG, Sim MS, Jo IJ, Paeng H, Choi JS. A real-time autonomous dashboard for the emergency department: 5-year case study. JMIR mHealth uHealth. 2018 Nov 22; 6(11): e10666.
  9. Nguyen NB, Lithander M, Östlund CM, Karunaratne T, Jobe W. TEADASH: Implementing and Evaluating a Teacher-Facing Dashboard Using Design Science Research. Informatics. 2024 Aug 26; 11(3): 61.
  10. Hasnine MN, Nguyen HT, Tran TT, Bui HT, Akçapınar G, Ueda H. A real-time learning analytics dashboard for automatic detection of online learners’ affective states. Sensors. 2023 Apr 24; 23(9): 4243.
  11. Bandi A. Data streaming architecture for visualizing cryptocurrency temporal data. In Computer Networks, Big Data and IoT: Proceedings of ICCBI 2020. Singapore: Springer Singapore; 2021 Jun 22; 651–661.
  12. Kostkova P, Garbin S, Moser J, Pan W. Integration and visualization public health dashboard: the medi+ board pilot project. In Proceedings of the 23rd International Conference on World Wide Web. 2014 Apr 7; 657–662.
  13. Das S, Banerjee K, Nath S, Chatterjee S. Data Visualization approach for business strategy recommendation using Power BI Dashboard. International Journal of Latest Engineering Science (IJLES). 2023; 6(5): 1–11.

Regular Issue Subscription Review Article
Volume 12
Issue 03
Received 12/05/2025
Accepted 07/08/2025
Published 15/09/2025
Publication Time 126 Days


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