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

Milad Naeimaei Aali; Felix Mannhardt; Pieter Jelle Toussaint

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

Milad Naeimaei Aali (Corresponding author)
, Felix Mannhardt
, Pieter Jelle Toussaint

Process Analytics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

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.

Original language	English
Title of host publication	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
Editors	Jochen De Weerdt, Giovanni Meroni, Han van der Aa, Karolin Winter
Publisher	CEUR-WS.org
Number of pages	6
Publication status	Published - 2024
Event	6th International Conference on Process Mining, ICPM 2024 - Copenhagen, Denmark Duration: 14 Oct 2024 → 18 Oct 2024 Conference number: 6

Publication series

Name	CEUR Workshop Proceedings
Volume	3783
ISSN (Print)	1613-0073

Conference

Conference	6th International Conference on Process Mining, ICPM 2024
Country/Territory	Denmark
City	Copenhagen
Period	14/10/24 → 18/10/24

Bibliographical note

Publisher Copyright:
© 2024 Copyright for this paper by its authors.

Keywords

Event knowledge graph
Healthcare
Multi-morbid patients
Process mining

Access to Document

pdfFinal published version, 1.08 MBLicence: CC BY

https://ceur-ws.org/Vol-3783/paper_365.pdf

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Aali, M. N., Mannhardt, F., & Toussaint, P. J. (2024). The CEKG: A Tool for Constructing Event Graphs in the Care Pathways of Multi-Morbid Patients. In J. De Weerdt, G. Meroni, H. van der Aa, & K. Winter (Eds.), 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 Article 365 (CEUR Workshop Proceedings; Vol. 3783). CEUR-WS.org. https://ceur-ws.org/Vol-3783/paper_365.pdf

Aali, Milad Naeimaei ; Mannhardt, Felix ; Toussaint, Pieter Jelle. / The CEKG : A Tool for Constructing Event Graphs in the Care Pathways of Multi-Morbid Patients. 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. editor / Jochen De Weerdt ; Giovanni Meroni ; Han van der Aa ; Karolin Winter. CEUR-WS.org, 2024. (CEUR Workshop Proceedings).

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

abstract = "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{\textquoteright} 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{\textquoteright} care pathways automatically.",

keywords = "Event knowledge graph, Healthcare, Multi-morbid patients, Process mining",

author = "Aali, \{Milad Naeimaei\} and Felix Mannhardt and Toussaint, \{Pieter Jelle\}",

note = "Publisher Copyright: {\textcopyright} 2024 Copyright for this paper by its authors.; 6th International Conference on Process Mining, ICPM 2024 ; Conference date: 14-10-2024 Through 18-10-2024",

year = "2024",

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editor = "\{De Weerdt\}, Jochen and Giovanni Meroni and \{van der Aa\}, Han and Karolin Winter",

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Aali, MN, Mannhardt, F & Toussaint, PJ 2024, The CEKG: A Tool for Constructing Event Graphs in the Care Pathways of Multi-Morbid Patients. in J De Weerdt, G Meroni, H van der Aa & K Winter (eds), 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., 365, CEUR Workshop Proceedings, vol. 3783, CEUR-WS.org, 6th International Conference on Process Mining, ICPM 2024, Copenhagen, Denmark, 14/10/24. <https://ceur-ws.org/Vol-3783/paper_365.pdf>

The CEKG: A Tool for Constructing Event Graphs in the Care Pathways of Multi-Morbid Patients. / Aali, Milad Naeimaei (Corresponding author); Mannhardt, Felix; Toussaint, Pieter Jelle.
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. ed. / Jochen De Weerdt; Giovanni Meroni; Han van der Aa; Karolin Winter. CEUR-WS.org, 2024. 365 (CEUR Workshop Proceedings; Vol. 3783).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - The CEKG

T2 - 6th International Conference on Process Mining, ICPM 2024

AU - Aali, Milad Naeimaei

AU - Mannhardt, Felix

AU - Toussaint, Pieter Jelle

N1 - Conference code: 6

PY - 2024

Y1 - 2024

N2 - 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.

AB - 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.

KW - Event knowledge graph

KW - Healthcare

KW - Multi-morbid patients

KW - Process mining

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M3 - Conference contribution

AN - SCOPUS:85207062687

T3 - CEUR Workshop Proceedings

BT - 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

A2 - De Weerdt, Jochen

A2 - Meroni, Giovanni

A2 - van der Aa, Han

A2 - Winter, Karolin

PB - CEUR-WS.org

Y2 - 14 October 2024 through 18 October 2024

ER -

Aali MN, Mannhardt F, Toussaint PJ. The CEKG: A Tool for Constructing Event Graphs in the Care Pathways of Multi-Morbid Patients. In De Weerdt J, Meroni G, van der Aa H, Winter K, editors, 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. CEUR-WS.org. 2024. 365. (CEUR Workshop Proceedings).

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

Abstract

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Bibliographical note

Keywords

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