Audit Trails in OpenSLEX: Paving the Road for Process Mining in Healthcare

Eduardo González-López de Murillas; Emmanuel Helm; Hajo A. Reijers; Josef Küng

doi:10.1007/978-3-319-64265-9_7

Audit Trails in OpenSLEX: Paving the Road for Process Mining in Healthcare

Eduardo González-López de Murillas
, Emmanuel Helm
, Hajo A. Reijers
, Josef Küng

Research Center Hagenberg

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

7 Zitate (Scopus)

Abstract

The analysis of organizational and medical treatment processes is crucial for the future development of the healthcare domain. Recent approaches to enable process mining on healthcare data make use of the hospital information systems’ Audit Trails. In this work, methods are proposed to integrate Audit Trail data into the generic OpenSLEX meta model to allow for an analysis of healthcare data from different perspectives (e.g. patients, doctors, resources). Instead of flattening the event data in a single log file the proposed methodology preserves as much information as possible in the first stages of data extraction and preparation. By building on established standardized data and message specifications for auditing in healthcare, we increase the range of analysis opportunities in the healthcare domain.

Originalsprache	Englisch
Titel	Information Technology in Bio- and Medical Informatics - 8th International Conference, ITBAM 2017, Proceedings
Redakteure/-innen	M. Elena Renda, Andreas Holzinger, Sami Khuri, Miroslav Bursa
Herausgeber (Verlag)	Springer
Seiten	82-91
Seitenumfang	10
ISBN (Print)	9783319642642
DOIs	https://doi.org/10.1007/978-3-319-64265-9_7
Publikationsstatus	Veröffentlicht - 2017
Veranstaltung	28th DEXA Conferences and Workshops - Lyon, France, Frankreich Dauer: 28 Aug. 2017 → 31 Aug. 2017 http://www.dexa.org/

Publikationsreihe

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band	10443 LNCS
ISSN (Print)	0302-9743
ISSN (elektronisch)	1611-3349

Konferenz

Konferenz	28th DEXA Conferences and Workshops
Land/Gebiet	Frankreich
Ort	Lyon, France
Zeitraum	28.08.2017 → 31.08.2017
Internetadresse	http://www.dexa.org/

Zugriff auf Dokument

10.1007/978-3-319-64265-9_7

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Link zur Publikation in Scopus

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de Murillas, E. G.-L., Helm, E., Reijers, H. A., & Küng, J. (2017). Audit Trails in OpenSLEX: Paving the Road for Process Mining in Healthcare. in M. E. Renda, A. Holzinger, S. Khuri, & M. Bursa (Hrsg.), Information Technology in Bio- and Medical Informatics - 8th International Conference, ITBAM 2017, Proceedings (S. 82-91). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 10443 LNCS). Springer. https://doi.org/10.1007/978-3-319-64265-9_7

de Murillas, Eduardo González-López ; Helm, Emmanuel ; Reijers, Hajo A. et al. / Audit Trails in OpenSLEX: Paving the Road for Process Mining in Healthcare. Information Technology in Bio- and Medical Informatics - 8th International Conference, ITBAM 2017, Proceedings. Hrsg. / M. Elena Renda ; Andreas Holzinger ; Sami Khuri ; Miroslav Bursa. Springer, 2017. S. 82-91 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Audit Trails in OpenSLEX: Paving the Road for Process Mining in Healthcare",

abstract = "The analysis of organizational and medical treatment processes is crucial for the future development of the healthcare domain. Recent approaches to enable process mining on healthcare data make use of the hospital information systems{\textquoteright} Audit Trails. In this work, methods are proposed to integrate Audit Trail data into the generic OpenSLEX meta model to allow for an analysis of healthcare data from different perspectives (e.g. patients, doctors, resources). Instead of flattening the event data in a single log file the proposed methodology preserves as much information as possible in the first stages of data extraction and preparation. By building on established standardized data and message specifications for auditing in healthcare, we increase the range of analysis opportunities in the healthcare domain.",

keywords = "Audit trails, Healthcare, Meta model, Process mining",

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booktitle = "Information Technology in Bio- and Medical Informatics - 8th International Conference, ITBAM 2017, Proceedings",

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de Murillas, EG-L, Helm, E, Reijers, HA & Küng, J 2017, Audit Trails in OpenSLEX: Paving the Road for Process Mining in Healthcare. in ME Renda, A Holzinger, S Khuri & M Bursa (Hrsg.), Information Technology in Bio- and Medical Informatics - 8th International Conference, ITBAM 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 10443 LNCS, Springer, S. 82-91, 28th DEXA Conferences and Workshops, Lyon, France, Frankreich, 28.08.2017. https://doi.org/10.1007/978-3-319-64265-9_7

Audit Trails in OpenSLEX: Paving the Road for Process Mining in Healthcare. / de Murillas, Eduardo González-López; Helm, Emmanuel; Reijers, Hajo A. et al.
Information Technology in Bio- and Medical Informatics - 8th International Conference, ITBAM 2017, Proceedings. Hrsg. / M. Elena Renda; Andreas Holzinger; Sami Khuri; Miroslav Bursa. Springer, 2017. S. 82-91 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 10443 LNCS).

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Audit Trails in OpenSLEX: Paving the Road for Process Mining in Healthcare

AU - de Murillas, Eduardo González-López

AU - Helm, Emmanuel

AU - Reijers, Hajo A.

AU - Küng, Josef

PY - 2017

Y1 - 2017

N2 - The analysis of organizational and medical treatment processes is crucial for the future development of the healthcare domain. Recent approaches to enable process mining on healthcare data make use of the hospital information systems’ Audit Trails. In this work, methods are proposed to integrate Audit Trail data into the generic OpenSLEX meta model to allow for an analysis of healthcare data from different perspectives (e.g. patients, doctors, resources). Instead of flattening the event data in a single log file the proposed methodology preserves as much information as possible in the first stages of data extraction and preparation. By building on established standardized data and message specifications for auditing in healthcare, we increase the range of analysis opportunities in the healthcare domain.

AB - The analysis of organizational and medical treatment processes is crucial for the future development of the healthcare domain. Recent approaches to enable process mining on healthcare data make use of the hospital information systems’ Audit Trails. In this work, methods are proposed to integrate Audit Trail data into the generic OpenSLEX meta model to allow for an analysis of healthcare data from different perspectives (e.g. patients, doctors, resources). Instead of flattening the event data in a single log file the proposed methodology preserves as much information as possible in the first stages of data extraction and preparation. By building on established standardized data and message specifications for auditing in healthcare, we increase the range of analysis opportunities in the healthcare domain.

KW - Audit trails

KW - Healthcare

KW - Meta model

KW - Process mining

UR - https://www.scopus.com/pages/publications/85028454286

U2 - 10.1007/978-3-319-64265-9_7

DO - 10.1007/978-3-319-64265-9_7

M3 - Conference contribution

SN - 9783319642642

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 82

EP - 91

BT - Information Technology in Bio- and Medical Informatics - 8th International Conference, ITBAM 2017, Proceedings

A2 - Renda, M. Elena

A2 - Holzinger, Andreas

A2 - Khuri, Sami

A2 - Bursa, Miroslav

PB - Springer

T2 - 28th DEXA Conferences and Workshops

Y2 - 28 August 2017 through 31 August 2017

ER -

de Murillas EGL, Helm E, Reijers HA, Küng J. Audit Trails in OpenSLEX: Paving the Road for Process Mining in Healthcare. in Renda ME, Holzinger A, Khuri S, Bursa M, Hrsg., Information Technology in Bio- and Medical Informatics - 8th International Conference, ITBAM 2017, Proceedings. Springer. 2017. S. 82-91. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-64265-9_7

Audit Trails in OpenSLEX: Paving the Road for Process Mining in Healthcare

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