DataPulse: An Interactive Dashboard for Statistical and Exploratory Analysis of Multimodal Healthcare Data in Shiny

Adam Urban, James Connolly, Gauri Vaidya, Krishn Kumar Gupt, Meghana Kshirsagar

2025

Abstract

The extraction of actionable insights from data-driven analyses is crucial for efficiently profiling, analyzing, and visualizing intricate medical datasets. A robust, generic data profiling tool is essential to uncover and understand relationships within medical data. In this context, building Shiny app can lead to numerous advantages—providing interactive, user-friendly, and dynamic dashboards, and the capacity to deploy scalable, web-based solutions. In this article, we introduce DataPulse, a versatile data profiling tool designed to analyze multimodal healthcare data. By leveraging advanced statistical methodologies, DataPulse uncovers complex relationships in the data and displays them through comprehensive dashboards. For instance, in ra-diogenomics, sequential imaging visualizations can highlight dynamic changes in disease progression over time. The article discusses two usecases of DataPulse: one focusing on the analysis of hip fracture patient pathways in the emergency department, and the other offering a detailed exploration of cancer disease through multimodal datasets to derive insights on drug outcomes and disease progression over time. In conclusion, DataPulse exemplifies how robust, interactive data profiling can transform complex medical data into actionable insights.

Paper Citation

in Harvard Style

Urban A., Connolly J., Vaidya G., Gupt K. and Kshirsagar M. (2025). DataPulse: An Interactive Dashboard for Statistical and Exploratory Analysis of Multimodal Healthcare Data in Shiny. In Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-758-0, SciTePress, pages 447-454. DOI: 10.5220/0013523500003967

in Bibtex Style

@conference{data25,
author={Adam Urban and James Connolly and Gauri Vaidya and Krishn Gupt and Meghana Kshirsagar},
title={DataPulse: An Interactive Dashboard for Statistical and Exploratory Analysis of Multimodal Healthcare Data in Shiny},
booktitle={Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2025},
pages={447-454},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013523500003967},
isbn={978-989-758-758-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - DataPulse: An Interactive Dashboard for Statistical and Exploratory Analysis of Multimodal Healthcare Data in Shiny
SN - 978-989-758-758-0
AU - Urban A.
AU - Connolly J.
AU - Vaidya G.
AU - Gupt K.
AU - Kshirsagar M.
PY - 2025
SP - 447
EP - 454
DO - 10.5220/0013523500003967
PB - SciTePress