Audit & Data Quality HRID, ESRI, Dublin, July 2008

Audit & Data Quality Aims Implementing data quality practices How to review coded data Examples of conducting data quality reviews Conducting audits HRID, ESRI, Dublin, July 2008

Audit & Data Quality Data quality review, audit and ongoing education and are key areas in the maintenance of a robust and timely national hospital activity dataset HRID, ESRI, Dublin, July 2008

Audit & Data Quality National patient activity data checked at various levels; At code level Coder level Hospital level DRG level HRID, ESRI, Dublin, July 2008

Data Quality National Level A data quality framework: Training of coders on all aspects and at all levels Coding query clearing house available to coders Inbuilt edits on data entry system at hospital level Continuous review of coded data Chart-based audit HRID, ESRI, Dublin, July 2008

Audit & Data Quality Cornerstones of data quality framework Timeliness Comprehensive coverage Completeness Accuracy (individual records) Consistency (national) HRID, ESRI, Dublin, July 2008

Audit & Data Quality Data Quality Fostering a Culture of Quality Balancing Productivity and Quality Data Quality/Validation Cycles National Local Follow-through on Findings HRID, ESRI, Dublin, July 2008

Audit & Data Quality What is needed to do this work? Access to data and hospitals Ability to report on data Central monitoring of data quality Data quality role in each hospital Recording of audit and data quality work Contact with hospitals and coding staff HRID, ESRI, Dublin, July 2008