CRITICAL DATA GAP
Gaps in data quality and governance represent fundamental risks to value-based care initiatives, regulatory compliance, and financial performance. Poor quality data erodes clinical trust, increases operational costs, and exposes you to potential compliance penalties. Without accurate data, care recommendations can lead to inappropriate treatment decisions, incorrect risk scores, and inaccurate or even dangerous AI/ML applications (if you can get these tools at all).
Begin immediately with a comprehensive data quality audit measuring duplicate rates, missing data, freshness, and format inconsistencies. Additionally, establish baseline metrics to track improvement.
Implement basic automated quality controls during data ingestion (duplicate detection, required field validation, format checks).
Prioritize data completeness by establishing agreements with top providers and licensing SDoH datasets.
Establish minimum viable governance with executive sponsorship, designated data stewards, and monthly quality meetings.
Moving from weak to strong quality could take as long as 18-24 months, but Cedar Gate’s platform handles quality, normalization, and lineage automatically, allowing you to focus on strategic data use.
