The role, use, and nuances of clinical data systems in oncology quality improvement.

135 Background: Data is essential to achieve meaningful quality improvement. A variety of commercial products are currently available for sophisticated data collection. However, data systems alone are not sufficient to improve quality. Additional resources are required in order to leverage electronic clinical data for meaningful improvement. This abstract outlines the necessary requirements and available methods for data-based oncology quality improvement using the experience of Intermountain Healthcare. Methods: The organizational components required for quality improvement are complex. Successful quality improvement begins with project feasibility, data availability and clinical leadership. Clinical processes are reviewed, data accuracy and availability are confirmed and clinical goals are established. Data collection, validation, and analysis are standardized across multiple facilities and providers. Data must be analyzed and presented in a way that clearly illustrates differences in current performanc...