Improving the integrity and pedigree of your quality data to enhance data-driven improvement

Presented by: Sandra Furterer, University of Dayton

Area of Focus: Technology and Session Level: Intermediate

Quality and process improvement methods, such as Lean Six Sigma, rely heavily on collecting, analyzing, and visualizing data. How can you know if your data has integrity and the appropriate pedigree? This presentation will provide some best practices, with real-world healthcare examples for how to ensure data integrity when creating, collecting, analyzing, and visualizing data to enhance your process and quality improvement results.