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

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

3 Citations (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.

Original language	English
Title of host publication	Information Technology in Bio- and Medical Informatics - 7th International Conference, ITBAM 2016, Proceedings
Editors	Andreas Holzinger, M. Elena Renda, Sami Khuri, Miroslav Bursa
Publisher	Springer
Pages	249-252
Number of pages	4
ISBN (Print)	978-3-319-43948-8
DOIs	https://doi.org/10.1007/978-3-319-43949-5_20
Publication status	Published - 2016
Event	27th DEXA Conferences and Workshops - Porto, Portugal Duration: 5 Sept 2016 → 8 Sept 2016 http://www.dexa.org/

Publication series

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

Conference

Conference	27th DEXA Conferences and Workshops
Country/Territory	Portugal
City	Porto
Period	05.09.2016 → 08.09.2016
Internet address	http://www.dexa.org/

Keywords

Process Mining
Business Intelligence
Process mining
Process quality
Data mining

Access to Document

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

Cite this

Helm, E., & Küng, J. (2016). Process Mining: Towards Comparability of Healthcare Processes. In A. Holzinger, M. E. Renda, S. Khuri, & M. Bursa (Eds.), Information Technology in Bio- and Medical Informatics - 7th International Conference, ITBAM 2016, Proceedings (pp. 249-252). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 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. editor / Andreas Holzinger ; M. Elena Renda ; Sami Khuri ; Miroslav Bursa. Springer, 2016. pp. 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 (eds), 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), vol. 9832 LNCS, Springer, pp. 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. ed. / Andreas Holzinger; M. Elena Renda; Sami Khuri; Miroslav Bursa. Springer, 2016. p. 249-252 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9832 LNCS).

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

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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.

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KW - Business Intelligence

KW - Process Mining

KW - Business Intelligence

KW - Process mining

KW - Process quality

KW - Data mining

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

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

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Helm E, Küng J. Process Mining: Towards Comparability of Healthcare Processes. In Holzinger A, Renda ME, Khuri S, Bursa M, editors, Information Technology in Bio- and Medical Informatics - 7th International Conference, ITBAM 2016, Proceedings. Springer. 2016. p. 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.

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