Development of a clinical pathway digital twin
A holonic, modular digital twin concept applied to clinical pathways—aimed at turning complex pathway data into timely, actionable insight for care teams.
· Cybarete
Clinical pathways are rich in data, but the data is often fragmented across systems and hard to interpret in time to improve care. This thesis develops a Clinical Pathway Digital Twin (CPDT) as an information management tool for clinical pathways, using a modular holonic architecture (ARTI-based) that supports automated analyses and on-demand reporting.
The work emphasizes practical requirements like real-time monitoring, standardized processes, regular automated analysis, and effective human integration—then demonstrates a proof-of-concept implementation evaluated via a case study.
Key takeaways
- A modular holonic architecture can make pathway analysis more scalable and adaptable.
- Automation value is not only prediction—it’s regular, reliable analysis and reporting.
- Digital twins for pathways succeed when they fit clinical workflows and human decision-making.
Links
- Stellenbosch repository landing page: https://scholar.sun.ac.za/handle/10019.1/130322
- PDF: https://scholar.sun.ac.za/server/api/core/bitstreams/b4a1f2c8-ff85-46b2-a861-fcb56759c720/content