Physiological Data Standardization with Age-Specific Outlier Detection

The patent applies preliminary action by performing data validation and outlier detection before the normalization process. The system identifies and flags erroneous data points (such as incorrect units, impossible physiological values) in the source systems before they undergo normalization to medical ontologies. This prevents inaccurate data from being converted into standardized but still erroneous coded values, thereby maintaining both standardization quality and data accuracy.

The patent applies local quality by implementing targeted validation rules specific to each physiological attribute and data type rather than applying uniform comprehensive validation to all data. The system uses age-specific reference ranges, unit-specific validation rules, and attribute-specific outlier detection thresholds. This localized approach validates only the necessary aspects of each data point with appropriate criteria, improving data quality while avoiding the overhead of exhaustive validation across all possible data dimensions.

The system performs preliminary action by pre-calculating and storing age-specific value ranges and reference thresholds before the validation process. During data validation, the system simply compares incoming physiological values against these pre-established age-specific ranges rather than performing complex real-time calculations. This approach maintains high measurement precision through age-specific validation while reducing system complexity by replacing complex runtime computations with straightforward lookups of pre-computed reference values.