From the course: Data Governance for the Healthcare Industry
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Dimensions of healthcare data quality
From the course: Data Governance for the Healthcare Industry
Dimensions of healthcare data quality
- What makes healthcare data good? Is it accuracy alone or something more? In healthcare where decisions impact lives, data quality is not just a technical concern, it is a necessity with direct implications for patient safety, operational efficiency, and regulatory compliance. In this video, we'll explore the dimensions that define quality in healthcare data and how governance frameworks must address each one of them. Healthcare data quality can be understood through six essential dimensions each requiring governance controls and accountability structures. First, accuracy is the cornerstone of data quality. Accurate data correctly represents patient's characteristics, conditions, and treatments. When blood pressure readings are recorded correctly and diagnoses are properly documented, providers can make informed decisions. Effective governance creates clear accountability for accuracy and establishes verification processes that support clinical workflows such as automated alerts for…
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