From the course: Data Governance for the Healthcare Industry
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Preventive and detective data quality controls
From the course: Data Governance for the Healthcare Industry
Preventive and detective data quality controls
- [Instructor] While assessment identifies problems, preventing them is the ultimate goal of data governance. In this video, we'll explore how strategic design can stop data quality issues before they occur. Preventive controls from the first line of defense. These include the design user interfaces with features like structured dropdown menus to limit free text entry, mandatory fields to prevent incomplete documentation and real-time validation alerts to prevent potential errors. Healthcare governance mandates the use of several key standardized terminologies to ensure consistent data representation. SNOMED CT, systemized nomenclature of medicine clinical terms provides a comprehensive medical vocabulary for clinical concepts such as diseases and procedures in electronic health records. RxNorm offers a standardized medication naming with unique identifiers for drugs, ingredients, and dosage forms. For laboratory clinical measurements, LOINC, logical observation, identifiers, names…
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