Paving the COWpath: Learning and visualizing clinical pathways from electronic health record data
We propose a practice-based clinical pathway development process using EHR data. We represent EHR data as one-dimensional visit sequences using novel data modeling constructs. We cluster patients using hierarchical clustering with longest common subsequences (LCS). We characterize clinical pathways as Markov chains and elicit dominant transitions. We find pathways with potential guideline-consistent practices and sustainable improvements.
visualization clinical pathway clinical practice guideline chronic kidney disease