Enhancing Clinical Insights: Knowledge-Intensive and Context-Sensitive Process Instance Visualization in Health Care
摘要
The paper focuses on enhancing the understanding of treatment processes, particularly in healthcare, through process visualization. Healthcare processes are complex and data-rich due to Electronic Health Records (EHRs). Existing visualization approaches often overlook the crucial data perspective alongside the control-flow perspective. To address this, the paper introduces the Knowledge-Intensive and Context-sensitive Process Instance Visualization approach, incorporating external sources like taxonomies and ontologies. A descriptive language enables flexible visualizations, and the enriched XES format supports tailored representations. Thus, the paper emphasizes the importance of context-sensitive visualizations for efficient interpretation by healthcare professionals. By addressing the challenges in healthcare process mining, the approach seeks to improve patient care through comprehensive and meaningful process visualization.