Quality Assurance Framework
Download PDFKey principles
Availability
Data is available as needed
Reliability
Data is consistently coded
Usability
Data is meaningful & useful
Relevance
Data meets user needs
Data is available as needed
Data is consistently coded
Data is meaningful & useful
Data meets user needs
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
Manage the NCIS Coding Manual and User Guide and online coder training modules
Work collaboratively with coders to provide an environment which maximises the consistency of coding and quality of data