Bridging Service Design, Visualizations, and Visual Analytics in Healthcare Digital Twins: Challenges, Gaps, and Research Opportunities

TL;DR

This paper explores integrating service design with visualization and visual analytics in healthcare digital twins to improve their real-world applicability, highlighting current gaps and proposing future research directions.

Contribution

It introduces service design principles to visualization research in healthcare digital twins and frames the integration challenges and opportunities.

Findings

Identifies the gap between service design and visualization in healthcare DTs

Proposes research directions for integrating service design methodologies

Highlights the potential benefits of this integration for real-world applications

Abstract

Digital twins (DT) are increasingly used in healthcare to model patients, processes, and physiological systems. While recent solutions leverage visualization, visual analytics, and user interaction, these systems rarely incorporate structured service design methodologies. Bridging service design with visual analytics and visualization can be valuable for the healthcare DT community. This paper aims to introduce the service design discipline to visualization researchers by framing this integration gap and suggesting research directions to enhance the real-world applicability of DT solutions.