Process Mining: Towards Comparability of Healthcare Processes.

Emmanuel Helm; Josef Küng

doi:10.1007/978-3-319-43949-5_20

Process Mining: Towards Comparability of Healthcare Processes.

Emmanuel Helm
, Josef Küng

Research Center Hagenberg

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

4 Zitate (Scopus)

Abstract

With the technology emerging more and more possible applications of process mining in healthcare become apparent. In most cases the goal of applying process mining to the healthcare domain is to find out what actually happened and to deliver a concise assessment of the organizational reality by mining the event logs of health information systems. To develop medical guidelines or patient pathways considering economic aspects and quality of care, a comparative analysis of different existing approaches is useful (e.g. how different hospitals execute the same process in different ways). This work discusses how to use existing process mining techniques for comparative analysis of healthcare processes and presents an approach based on the L* life-cycle model.

Originalsprache	Englisch
Titel	Information Technology in Bio- and Medical Informatics - 7th International Conference, ITBAM 2016, Proceedings
Redakteure/-innen	Andreas Holzinger, M. Elena Renda, Sami Khuri, Miroslav Bursa
Herausgeber (Verlag)	Springer
Seiten	249-252
Seitenumfang	4
ISBN (Print)	978-3-319-43948-8
DOIs	https://doi.org/10.1007/978-3-319-43949-5_20
Publikationsstatus	Veröffentlicht - 2016
Veranstaltung	27th DEXA Conferences and Workshops - Porto, Portugal Dauer: 5 Sep. 2016 → 8 Sep. 2016 http://www.dexa.org/

Publikationsreihe

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band	9832 LNCS
ISSN (Print)	0302-9743
ISSN (elektronisch)	1611-3349

Konferenz

Konferenz	27th DEXA Conferences and Workshops
Land/Gebiet	Portugal
Ort	Porto
Zeitraum	05.09.2016 → 08.09.2016
Internetadresse	http://www.dexa.org/

Schlagwörter

Process Mining
Business Intelligence

Zugriff auf Dokument

10.1007/978-3-319-43949-5_20

Andere Dateien und Links

Link zur Publikation in Scopus

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Helm, E., & Küng, J. (2016). Process Mining: Towards Comparability of Healthcare Processes. in A. Holzinger, M. E. Renda, S. Khuri, & M. Bursa (Hrsg.), Information Technology in Bio- and Medical Informatics - 7th International Conference, ITBAM 2016, Proceedings (S. 249-252). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 9832 LNCS). Springer. https://doi.org/10.1007/978-3-319-43949-5_20

Helm, Emmanuel ; Küng, Josef. / Process Mining: Towards Comparability of Healthcare Processes. Information Technology in Bio- and Medical Informatics - 7th International Conference, ITBAM 2016, Proceedings. Hrsg. / Andreas Holzinger ; M. Elena Renda ; Sami Khuri ; Miroslav Bursa. Springer, 2016. S. 249-252 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Helm, E & Küng, J 2016, Process Mining: Towards Comparability of Healthcare Processes. in A Holzinger, ME Renda, S Khuri & M Bursa (Hrsg.), Information Technology in Bio- and Medical Informatics - 7th International Conference, ITBAM 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 9832 LNCS, Springer, S. 249-252, 27th DEXA Conferences and Workshops, Porto, Portugal, 05.09.2016. https://doi.org/10.1007/978-3-319-43949-5_20

Process Mining: Towards Comparability of Healthcare Processes. / Helm, Emmanuel; Küng, Josef.
Information Technology in Bio- and Medical Informatics - 7th International Conference, ITBAM 2016, Proceedings. Hrsg. / Andreas Holzinger; M. Elena Renda; Sami Khuri; Miroslav Bursa. Springer, 2016. S. 249-252 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 9832 LNCS).

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

TY - GEN

T1 - Process Mining: Towards Comparability of Healthcare Processes.

AU - Helm, Emmanuel

AU - Küng, Josef

PY - 2016

Y1 - 2016

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AB - With the technology emerging more and more possible applications of process mining in healthcare become apparent. In most cases the goal of applying process mining to the healthcare domain is to find out what actually happened and to deliver a concise assessment of the organizational reality by mining the event logs of health information systems. To develop medical guidelines or patient pathways considering economic aspects and quality of care, a comparative analysis of different existing approaches is useful (e.g. how different hospitals execute the same process in different ways). This work discusses how to use existing process mining techniques for comparative analysis of healthcare processes and presents an approach based on the L* life-cycle model.

KW - Process Mining

KW - Business Intelligence

KW - Process Mining

KW - Business Intelligence

KW - Process mining

KW - Process quality

KW - Data mining

UR - https://www.scopus.com/pages/publications/84981501564

U2 - 10.1007/978-3-319-43949-5_20

DO - 10.1007/978-3-319-43949-5_20

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SN - 978-3-319-43948-8

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

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EP - 252

BT - Information Technology in Bio- and Medical Informatics - 7th International Conference, ITBAM 2016, Proceedings

A2 - Holzinger, Andreas

A2 - Renda, M. Elena

A2 - Khuri, Sami

A2 - Bursa, Miroslav

PB - Springer

T2 - 27th DEXA Conferences and Workshops

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ER -

Helm E, Küng J. Process Mining: Towards Comparability of Healthcare Processes. in Holzinger A, Renda ME, Khuri S, Bursa M, Hrsg., Information Technology in Bio- and Medical Informatics - 7th International Conference, ITBAM 2016, Proceedings. Springer. 2016. S. 249-252. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-43949-5_20

Process Mining: Towards Comparability of Healthcare Processes.

Abstract

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