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Accurate and consistent data representation is essential for ensuring interoperability, data quality, and meaningful exchange of healthcare information. However, challenges arise when clinical data is represented in ways that are inconsistent or ambiguous. These issues can lead to misinterpretation, data loss, and hindered communication between systems.


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