What looks at the systems and processes in place that affect not only the accuracy of the data but other performance indicators as well?

The focus on systems and processes that affect both the accuracy of data and broader performance indicators aligns closely with the concept of Quality Improvement. Quality Improvement involves systematically examining processes to enhance efficiency, effectiveness, and overall quality in various aspects of healthcare, including data management. This approach is proactive, utilizing metrics to identify areas needing enhancement, ensuring that interventions are based on solid data-driven insights. It aims not only to correct issues but also to foster ongoing enhancements in processes, thereby impacting multiple performance indicators.

In contrast, while Quality Assurance involves validating that standards are met, it is more about maintaining compliance and can be more reactive. Process monitoring focuses on observing and tracking specific processes but may not necessarily lead to systematic improvements. Productivity primarily pertains to the efficiency of output related to resources used, which does not directly address the accuracy of data or performance indicators on a broader scale.