The CEKG: A Tool for Constructing Event Graphs in the Care Pathways of Multi-Morbid Patients

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Aali, Milad Naeimaei, Mannhardt, Felix, Toussaint, Pieter Jelle
Format: Preprint
Publié: 2024
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866929541438504960
author Aali, Milad Naeimaei
Mannhardt, Felix
Toussaint, Pieter Jelle
author_facet Aali, Milad Naeimaei
Mannhardt, Felix
Toussaint, Pieter Jelle
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2410_10827
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The CEKG: A Tool for Constructing Event Graphs in the Care Pathways of Multi-Morbid Patients
Aali, Milad Naeimaei
Mannhardt, Felix
Toussaint, Pieter Jelle
Computers and Society
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.
title The CEKG: A Tool for Constructing Event Graphs in the Care Pathways of Multi-Morbid Patients
topic Computers and Society
url https://arxiv.org/abs/2410.10827