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

2025/06/30 by Mariia Ershova, Ershova, Mariia, Graziano Blasilli +1
Business, Management and Accounting · Computer Science · Engineering · #Digital Transformation in Industry #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Innovative Human-Technology Interaction #Service and Product Innovation

paper · pdf · doi:10.48550/arxiv.2506.24104

openalex publication_date 2025/06/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

Citations

• Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference
• Service Blueprinting: A Practical Technique for Service Innovation

Related

• Design for a Digital Twin in Clinical Patient Care
• Human Digital Twins in Personalized Healthcare: An Overview and Future Perspectives
• Digital Twins for Patient Care via Knowledge Graphs and Closed-Form Continuous-Time Liquid Neural Networks
• On the Integration of Agents and Digital Twins in Healthcare
• A Brief History of Digital Twin Technology