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

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 12 | 03 | Page :
    By

    Neha Nitin Wagh,

  • Darshan Ranjeet Desale,

  • Chetana Mukesh Sonawane,

  • Digvijaysing Devendra Rajput,

  • Kiran Dinkar Chaudhari,

  1. Student, Department of Artificial Intelligence and Machine Learning, SES’s R. C. Patel Institute of Technology, Shirpur, Maharashtra, India
  2. Student, Department of Artificial Intelligence and Machine Learning, SES’s R. C. Patel Institute of Technology, Shirpur, Maharashtra, India
  3. Student, Department of Artificial Intelligence and Machine Learning, SES’s R. C. Patel Institute of Technology, Shirpur, Maharashtra, India
  4. Student, Department of Artificial Intelligence and Machine Learning, SES’s R. C. Patel Institute of Technology, Shirpur, Maharashtra, India
  5. Student, Department of Artificial Intelligence and Machine Learning, SES’s R. C. Patel Institute of Technology, Shirpur, Maharashtra, India

Abstract

document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_201766’);});Edit Abstract & Keyword

Real-time dashboards are revolutionising data analysis and visualisation 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 visualisation 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

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):-.
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):-. Available from: https://journals.stmjournals.com/josettt/article=2025/view=0


document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_ref_201766’);});Edit

References

  1. S. S. Khairat, A. Dukkipati, H. A. Lauria, T. Bice, D. Travers, and S. S. Carson, “The impact of visualization dashboards on quality of care and clinician satisfaction: integrative literature review,” JMIR human factors, vol. 5, no. 2, p. e9328, 2018.
  2. R. Alfredo et al., “Human-centred learning analytics and AI in education: A systematic literature review,” Computers and Education: Artificial Intelligence, p. 100215, 2024.
  3. S. Stehle and R. Kitchin, “Real-time and archival data visualisation techniques in city dashboards,” International Journal of Geographical Information Science, vol. 34, no. 2, pp. 344–366, 2020.
  4. M. Elshehaly et al., “QualDash: Adaptable generation of visualisation dashboards for healthcare quality improvement,” IEEE Transactions on Visualization and Computer Graphics, vol. 27, no. 2, pp. 689–699, 2020.
  5. M. Zhuang, D. Concannon, and E. Manley, “A framework for evaluating dashboards in healthcare,” IEEE transactions on visualization and computer graphics, vol. 28, no. 4, pp. 1715–1731, 2022.
  6. S. Kumar and M. Belwal, “Performance dashboard: Cutting-edge business intelligence and data visualization,” in 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon), IEEE, 2017, pp. 1201–1207.
  7. A. Franklin et al., “Dashboard visualizations: Supporting real-time throughput decision-making,” Journal of biomedical informatics, vol. 71, pp. 211–221, 2017.
  8. J. Yoo et al., “A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study,” JMIR Mhealth Uhealth, vol. 6, no. 11, p. e10666, Nov. 2018, doi: 10.2196/10666.
  9. N. B. C. Nguyen, M. Lithander, C. M. Östlund, T. Karunaratne, and W. Jobe, “TEADASH: Implementing and Evaluating a Teacher-Facing Dashboard Using Design Science Research,” Informatics, vol. 11, no. 3, p. 61, Aug. 2024, doi: 10.3390/informatics11030061.
  10. M. N. Hasnine, H. T. Nguyen, T. T. T. Tran, H. T. T. Bui, G. Akçapınar, and H. Ueda, “A Real-Time Learning Analytics Dashboard for Automatic Detection of Online Learners’ Affective States,” Sensors, vol. 23, no. 9, p. 4243, Apr. 2023, doi: 10.3390/s23094243.
  11. A. Bandi, “Data Streaming Architecture for Visualizing Cryptocurrency Temporal Data,” in Computer Networks, Big Data and IoT, vol. 66, A. P. Pandian, X. Fernando, and S. M. S. Islam, Eds., in Lecture Notes on Data Engineering and Communications Technologies, vol. 66. , Singapore: Springer Singapore, 2021, pp. 651–661. doi: 10.1007/978-981-16-0965-7_50.
  12. P. Kostkova, S. Garbin, J. Moser, and W. Pan, “Integration and visualization public health dashboard: the medi+board pilot project,” in Proceedings of the 23rd International Conference on World Wide Web, Seoul Korea: ACM, Apr. 2014, pp. 657–662. doi: 10.1145/2567948.2579276.
  13. Dr. K. Banerjee, S. Das, and S. Nath, “Data visualization approach for business strategy recommendation using power BI dashboard,” Int. J. Res. Manage., vol. 6, no. 1, pp. 168–175, Jan. 2024, doi: 10.33545/26648792.2024.v6.i1b.138.

Ahead of Print Subscription Review Article
Volume 12
03
Received 12/05/2025
Accepted 08/08/2025
Published 11/08/2025
Publication Time 91 Days

[first_name] [last_name]

My IP

PlumX Metrics