Multi-Perspective Process Mining Interfaces for HL7 AuditEvent Repositories: XES and OCEL

被引：0

作者：

Pointner A. ^{[1
]}

Krauss O. ^{[1
]}

Erhard A. ^{[1
]}

Schuler A. ^{[1
,2
]}

Helm E. ^{[1
,2
]}

机构：

[1] Department of Medical and Bioinformatics, University of Applied Sciences Upper Austria, Hagenberg

[2] Research Department Advanced Information Systems and Technology, University of Applied Sciences Upper Austria, Hagenberg

来源：

Studies in Health Technology and Informatics | 2023年 / 301卷

关键词：

Data Mining; Electronic Health Records; Process Assessment; Health Care; Standard of Care;

D O I：

10.3233/SHTI230034

中图分类号：

学科分类号：

摘要：

Background: Medical information systems frequently use event logging, but these logs are not suitable for process mining as they are not logged in a standardized format. Objectives: Our goal is to enrich medical event logs for use in process mining. Method: We present an approach to convert events from standards-based repositories into the XES and OCEL formats commonly used in process mining. Results: We tested this approach using simulated data from the Austrian breast cancer screening program. Conclusion: We aim to apply it to analyze care guidelines and improve hospital processes in the future. © 2023 The authors, AIT Austrian Institute of Technology and IOS Press.

引用

页码：168 / 173

页数：5

共 22 条

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[15] Pointner A., Krauss O., Schuler A., Helm E., Transformation from HL7® FHIR® AuditEvent to OCEL
[16] Pointner A., Krauss O., Schuler A., Helm E., Transformation from HL7® FHIR® AuditEvent to XES
[17] Schuler A., Pointner A., Praschl C., Graph Transformation Framework
[18] Pointner A., Xes-model: 1.0.0
[19] Pointner A., Ocel-model: 1.0.0, Zenodo
[20] AuditEvent - hapi-fhir-structures-r5 6.2.2 javadoc

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