D'Clenz Patient Data Profiling

Patient Data Profiling

"Once the scope is outlined, the set of data validation rules are defined using the solution’s validation engine."


Profiling the patient data is essentially a process of understanding the database being analyzed on a as-is basis. The objective will be to define the scope of data validation work that will require to be performed. Once the scope is outline, the set of data validation rules are defined using the solution’s validation engine.

The scope of validation will be, though not limited to, will include

  • Values: data complete, accurate, and standardized?
  • Structure: pattern matching the accepted norms?
  • Relationship: expected relationship between data evident?
  • Duplication: validation to identify and extract all duplicates
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A comprehensive toolkit to identify varying data quality issues can be configured to provide a detailed as-is status of the patient data quality in tables, graphs, charts and supporting views for assessment and analysis.