As part of its clinical process improvement efforts, UW Medicine has started efforts to identify areas of variation for high-cost patients, in order to suggest focused quality improvement processes. To perform this analysis successfully, electronic data must be extracted that can characterize different areas of care and variation in costs, and also to identify subpopulations within the high-cost services. This project will work closely with the clinical process improvement leaders to appropriately extract and represent clinical data for variation analysis, as well as develop reports for subpopulation analysis. This is a practical project involving healthcare analytics, where appropriate research and analytics methods can facilitate the data query, analysis and interpretation.
Project can provide research opportunities for interested graduate students and post-docs.