VisualSphere: a Web-based Interactive Visualization System for Clinical Research Data

Authors

Shiwei Lin
Shiqiang Tao
Wei-Chun Chou
Guo-Qiang Zhang
Xiaojin Li

Publication Date

1-1-2024

Journal

AMIA Joint Summits on Translational Science Proceedings

Abstract

Clinical research data visualization is integral to making sense of biomedical research and healthcare data. The complexity and diversity of data, along with the need for solid programming skills, can hinder advances in clinical research data visualization. To overcome these challenges, we introduce VisualSphere, a web-based interactive visualization system that directly interfaces with clinical research data repositories, streamlining and simplifying the visualization workflow. VisualSphere is founded on three primary component modules: Connection, Configuration, and Visualization. An end-user can set up connections to the data repositories, create charts by selecting the desired tables and variables, and render visualization dashboards generated by Plotly and R/Shiny. We performed a preliminary evaluation of VisualSphere, which achieved high user satisfaction. VisualSphere has the potential to serve as a versatile tool for various clinical research data repositories, enabling researchers to explore and interact with clinical research data efficiently and effectively.

Comments

PMID: 38827073