The Data Quality and Reporting Guide provides step-by-step guidance to help Community Health Centers and other primary care practices build a reliable foundation for performance measurement, population health management, quality improvement, value-based care, and health equity. It supports valid and reliable reporting of PHMI core and supplemental Healthcare Effectiveness Data and Information Set (HEDIS) measures and helps practices use data to understand their patient populations, identify care gaps and health disparities, monitor performance over time, and improve care for attributed patients, including those assigned but not yet seen.
The guide covers establishing a data governance and reporting team, understanding measure specifications, programming and calculating measures, assessing internal data integrity, improving documentation and coding, acquiring external data, validating and reconciling results with managed care plans, and reporting and using data to improve care. Additional guidance addresses stratifying data by site, race, and ethnicity; collecting race, ethnicity, and language (REAL), sexual orientation and gender identity (SOGI), demographic, and social needs data; data visualization and storytelling; electronic clinical quality measures (eCQMs); electronic health record (EHR) data extraction; health information exchange (HIE); community information exchange (CIE); business intelligence tools; and panel-level reporting. The guide also explores remote patient monitoring and artificial intelligence (AI) to support customized interventions for high-risk populations.