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.
Summary on Cybarete. Read the original publication.
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