Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 168-173 |
| Number of pages | 6 |
| Journal | Studies in Health Technology and Informatics |
| Volume | 301 |
| DOIs | |
| Publication status | Published - 2 May 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Data Mining
- Electronic Health Records
- Health Care
- Process Assessment
- Standard of Care
- Austria
- Hospitals
- Hospital Information Systems
- Process Assessment, Health Care
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