Managing clinical variation is the most important task in healthcare. Clinical variation management requires machine intelligence to understand and reduce unwarranted differences in patient outcomes and costs. An AI-powered clinical variation management application can automate the grouping of similar patient procedures, use an organization's own data to surface clinical pathways, and allow for the quantitative comparison of all sources of variation and their impacts in an unbiased way.