Managing Business Process Variability Through Process Mining and Semantic Reasoning: An Application in Healthcare

被引：5

作者：

Detro, Silvana Pereira ^{[1
,2
]}

Portela Santos, Eduardo Alves ^{[1
]}

Panetto, Herve ^{[2
]}

Rocha Loures, Eduardo de Freitas ^{[1
]}

Lezoche, Mario ^{[2
]}

机构：

[1] Pontificia Univ Catolica Parana PUCPR, Grad Program Prod Engn & Syst PPGEPS, Curitiba, Parana, Brazil

[2] Univ Lorraine, Res Ctr Automat Control CRAN UMR 7039, CNRS, BP 70239, F-54506 Vandoueuvre Les Nancy, France

来源：

COLLABORATION IN A DATA-RICH WORLD | 2017年 / 506卷

关键词：

Process variability; Process mining; Semantic reasoning; MANAGEMENT;

D O I：

10.1007/978-3-319-65151-4_31

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Managing process variability enable the process model adaptability according changes in the application environment. In the healthcare area, flexibility is essential to provide a quality treatment because, even patients with the same diagnostic, may follow different paths and suffer different proceedings. Besides, there are many aspects to be considered for the selection of a path, as patient's symptoms, and clinical guidelines, among others. In this context, this research presents a framework for the management of the process variants through semantic reasoning. The enrichment of the business process with semantics enables the automation of the configuration, thus promoting more flexible and adaptive solutions. The proposed framework helps selecting the appropriate process variant according the patient's symptoms by reasoning on ontologies based known expertise. In our specific use case, we will use the expertise of the Brazilian guideline for acute ischemic stroke.

引用

页码：333 / 340

页数：8

共 50 条

[1] Applying process mining and semantic reasoning for process model customisation in healthcare
Detro, Silvana Pereira
Portela Santos, Eduardo Alves
Panetto, Herve
De Loures, Eduardo
Lezoche, Mario
Moro Barra, Claudia Cabral
[J]. ENTERPRISE INFORMATION SYSTEMS, 2020, 14 (07) : 983 - 1009
[2] Process Mining for Semantic Business Process Modeling
Lautenbacher, Florian
Bauer, Bernhard
Foerg, Sebastian
[J]. 2009 13TH ENTERPRISE DISTRIBUTED OBJECT COMPUTING CONFERENCE WORKSHOPS (EDOCW 2009), 2009, : 45 - 53
[3] Application of Process Mining and Semantic Structuring Towards a Lean Healthcare Network
Antonelli, Dario
Bruno, Giulia
[J]. RISKS AND RESILIENCE OF COLLABORATIVE NETWORKS, 2015, 463 : 497 - 508
[4] An outlook on semantic business process mining and monitoring
de Medeiros, A. K. Alves
Pedrinaci, C.
van der Aalst, W. M. P.
Domingue, J.
Song, M.
Rozinat, A.
Norton, B.
Cabral, L.
[J]. ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2007: OTM 2007 WORKSHOPS, PT 2, PROCEEDINGS, 2007, 4806 : 1244 - +
[5] MANAGING BUSINESS PROCESS FLEXIBILITY AND REUSE THROUGH BUSINESS PROCESS LINES
Boffoli, Nicola
Cimitile, Marta
Maggi, Fabrizio Maria
[J]. ICSOFT 2009: PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON SOFTWARE AND DATA TECHNOLOGIES, VOL 2, 2009, : 61 - 68
[6] Industrial application of semantic process mining
Ingvaldsen, Jon Espen
Gulla, Jon Atle
[J]. ENTERPRISE INFORMATION SYSTEMS, 2012, 6 (02) : 139 - 163
[7] Business process analysis in healthcare environments: A methodology based on process mining
Rebuge, Alvaro
Ferreira, Diogo R.
[J]. INFORMATION SYSTEMS, 2012, 37 (02) : 99 - 116
[8] Business process mining: An industrial application
van der Aalst, W. M. P.
Reijers, H. A.
Weijters, A. J. M. M.
van Dongen, B. F.
de Medeiros, A. K. Alves
Song, M.
Verbeek, H. M. W.
[J]. INFORMATION SYSTEMS, 2007, 32 (05) : 713 - 732
[9] Configurable Process Mining: Semantic Variability in Event Logs
Khannat, Aicha
Sbai, Hanae
Kjiri, Laila
[J]. PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS (ICEIS 2021), VOL 1, 2021, : 768 - 775
[10] Supporting business process variability through declarative process families
Groefsema, H.
van Beest, N. R. T. P.
[J]. COMPUTERS IN INDUSTRY, 2024, 159

← 1 2 3 4 5 →