Outcome centred process mapping in healthcare using random forest and process mining.

ABSTRACT: System process mapping is essential for understanding complex systems and implementing effective management practices. In healthcare, mapping patient flow aims to reduce costs, improve the quality of care, and enhance efficiency. Process mining (PM) in healthcare is challenging due to the need for specialised knowledge and the inherent variability and complexity of healthcare processes. Comparing observed differences in patient flow pathways provides only a partial view; they must be combined with process outcomes and attributes for a comprehensive understanding. This paper proposes a combined stepwise approach using random forest (RF) and PM discovery to achieve outcome-centred process mapping from process-unaware systems. To this aim, we analysed the MIMIC-IV v2.2 dataset, containing hea

SUBMITTER: Leonetti S 

PROVIDER: S-EPMC12700881 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature