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
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
收藏
页码:168 / 173
页数:5
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