Applying process mining and semantic reasoning for process model customisation in healthcare

被引:19
作者
Detro, Silvana Pereira [1 ,2 ]
Portela Santos, Eduardo Alves [1 ]
Panetto, Herve [2 ]
De Loures, Eduardo [1 ]
Lezoche, Mario [2 ]
Moro Barra, Claudia Cabral [3 ]
机构
[1] Pontificia Univ Catolica Parana PUCPR, Grad Program Prod Engn & Syst PPGEPS, Curitiba, Parana, Brazil
[2] Univ Lorraine, CRAN, CNRS, Nancy, France
[3] Pontificia Univ Catolica Parana PUCPR, Grad Program Hlth Technol PPGTS, Curitiba, Parana, Brazil
关键词
Process model customisation; ontology; semantic reasoning; process mining; healthcare; ISCHEMIC-STROKE TREATMENT; FRAMEWORK; GUIDELINES; ALIGNMENT; SUPPORT; SYSTEM; OWL;
D O I
10.1080/17517575.2019.1632382
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Process flexibility plays a key role in high variability environments, such as healthcare. In this type of environment, the process model needs to change some elements to adjust to specific sets of requirements. Thus, this paper proposes a process model customising method based on ontology and process mining. The method proposed is applied in customising process models for acute ischemic stroke treatment. During process model customisation, the method provides decision-making support for users, thereby ensuring a structurally correct process customisation and enabling improves patient treatment by means of recommendations.
引用
收藏
页码:983 / 1009
页数:27
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