Extending a Data Management Maturity Model for Process Mining in Healthcare

被引：1
作者：
Erhard A. [1 ,2 ]
Arthofer K. [2 ]
Helm E. [1 ]
机构：
[1] University of Applied Sciences Upper Austria School of Informatics, Communications and Media, Hagenberg
[2] University of Applied Sciences Upper Austria, School of Business & Management, Steyr
来源：
Studies in Health Technology and Informatics | 2023年 / 301卷
关键词：
BPM+ Health; Data Management Maturity Model; Event Data; OMG; Process Mining; RAMM;
D O I：
10.3233/SHTI230038
中图分类号：
学科分类号：
摘要：
Background: Many components must work together to continuously improve processes in healthcare organizations. Process mining has recently developed into a discipline that can make a significant contribution here. Objectives: We want to extend an existing management tool to assess and improve the capability of organizations in this area. Method: We add a dimension to the adoption readiness assessment and maturity model for sharable clinical pathways to assess and improve event data quality. Results: We present different approaches for formal and checkpoint assessments and an embedding of the improvement strategy with examples. Conclusion: The additional dimension from the process mining domain integrates with the existing model. At all levels, links can be established between the various aspects of event data quality with existing dimensions. The model has yet to be tested in a real-world use case. © 2023 The authors, AIT Austrian Institute of Technology and IOS Press.
引用
收藏
页码：192 / 197
页数：5
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