Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Visual Digital Twins for Arthroplasty: Conceptual Dashboards Integrating Patient Clusters and Clinical Pathways. |
| Συγγραφείς: |
Wergeland Sævareid I; Department of Information Science and Media Studies, University of Bergen, Norway., Babic A; Department of Information Science and Media Studies, University of Bergen, Norway.; Department of Biomedical Engineering, Linköping University, Sweden. |
| Πηγή: |
Studies in health technology and informatics [Stud Health Technol Inform] 2026 Jun 29; Vol. 338, pp. 36-40. |
| Τύπος έκδοσης: |
Journal Article |
| Γλώσσα: |
English |
| Στοιχεία περιοδικού: |
Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE |
| Imprint Name(s): |
Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991- |
| Ιατρικοί όροι (MeSH): |
Critical Pathways*/organization & administration , Arthroplasty*/methods , Dashboard Systems* , User-Computer Interface* , Decision Support Systems, Clinical*, Humans ; Cluster Analysis ; Digital Health ; Clustering Algorithms |
| Περίληψη: |
Digital twins have increasingly been proposed as a means of supporting personalized clinical decision-making, yet their translation into clinically interpretable visual forms remains underdeveloped. This article presents a study of conceptual dashboard design for digital twins in arthroplasty. Using a design science research approach, five iterative prototype cycles were conducted to examine how patient similarity, expected outcomes, and clinical pathways may be represented in dashboard form. The work was informed by the MIMIC-IV database and drew on cluster analysis, event-log-based pathway analysis, dashboard design principles, and cognitive walkthrough evaluation. Three complementary design concepts were developed: a cluster-based twin view, a pathway-based twin view, and an integrated dashboard combining both perspectives. Among these, the integrated concept offered the clearest representation of the digital twin by linking baseline patient characteristics, similarity groupings, and likely treatment trajectories within one navigable interface for clinical interpretation and use. The findings suggest that digital twins in arthroplasty may be communicated more effectively through structured dashboards than through isolated graphics or purely technical models, while also indicating the value of a shared conceptual framework for future clinically oriented visualization in healthcare. |
| Contributed Indexing: |
Keywords: arthroplasty; clinical pathway; cluster analysis; dashboard; digital twin; visualization |
| Entry Date(s): |
Date Created: 20260703 Date Completed: 20260703 Latest Revision: 20261007 |
| Update Code: |
20261007 |
| DOI: |
10.3233/SHTI260791 |
| PMID: |
42393953 |
| Βάση Δεδομένων: |
MEDLINE |