Quality Assurance Framework

Data is available as needed

Data is consistently coded

Data is meaningful & useful

Data meets user needs

Quality review

Establish and manage processes to regularly monitor, review and report on data quality

Review closed cases to verify consistency and alignment with coding standards

Restrict editing of reviewed cases to protect from further changes

Administer classification structure to support the NCIS codesets and data quality

Manage the NCIS Data Dictionary and database validation rules

Monitor global classifications to assist with data comparison

Provide training and support material to coders

Work collaboratively with coders to provide an environment which maximises the consistency of coding and quality of data