Which approach to construct a database to generate external reports across geographic locations by DRG?

The research-identified approach involves using data that is specifically marked for research purposes, which may not capture the necessary aggregate perspective needed for comprehensive external reporting. This method is typically more focused on individual cases rather than providing a broad overview across geographic locations, limiting its utility in generating the required reports.

While de-identified data can protect patient privacy by removing identifiable information, it does not inherently facilitate the aggregation of data necessary for external reporting by DRG. De-identification may strip away vital contextual details required for accurate analysis and reporting across various regions, making it less effective for generating comprehensive external reports.

A flat file structure organizes data in a single table without relationships between different datasets, which can hinder the ability to generate complex reports across multiple geographic locations. This approach lacks the necessary flexibility and aggregation capabilities that a rollup method provides, making it less suitable for external reporting requirements.