Samenvatting
One of the challenges in healthcare processes, especially those related to multi-morbid patients who suffer from multiple disorders simultaneously, is not connecting the disorders in patients to process events and not linking events’ activities to globally accepted terminology. Addressing this challenge introduces a new entity to the clinical process. On the other hand, it facilitates that the process is interpretable and analyzable across different healthcare systems. This paper aims to introduce a tool named CEKG that uses event logs, diagnosis data, ICD-10, SNOMED-CT, and mapping functions to satisfy these challenges by constructing event graphs for multi-morbid patients’ care pathways automatically.
| Originele taal-2 | Engels |
|---|---|
| Titel | Doctoral Consortium and Demo Track 2024 at the International Conference on Process Mining 2024 co-located with the 6th International Conference on Process Mining (ICPM 2024) Copenhagen, Denmark, October 15, 2024 |
| Redacteuren | Jochen De Weerdt, Giovanni Meroni, Han van der Aa, Karolin Winter |
| Uitgeverij | CEUR-WS.org |
| Aantal pagina's | 6 |
| Status | Gepubliceerd - 2024 |
| Evenement | 6th International Conference on Process Mining, ICPM 2024 - Copenhagen, Denemarken Duur: 14 okt. 2024 → 18 okt. 2024 Congresnummer: 6 |
Publicatie series
| Naam | CEUR Workshop Proceedings |
|---|---|
| Volume | 3783 |
| ISSN van geprinte versie | 1613-0073 |
Congres
| Congres | 6th International Conference on Process Mining, ICPM 2024 |
|---|---|
| Land/Regio | Denemarken |
| Stad | Copenhagen |
| Periode | 14/10/24 → 18/10/24 |
Bibliografische nota
Publisher Copyright:© 2024 Copyright for this paper by its authors.
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