Queensland Health Data Maturity Assessment

Conducted a comprehensive data maturity assessment of Queensland Health (QH), Australia’s largest public healthcare provider, using the DAMA-DMBOK framework across 11 knowledge areas. Identified critical gaps in data storage, master data, and warehousing, and proposed strategic improvements through AI-generated policies.

This academic project evaluates QH’s data governance maturity, highlights risks from inconsistent data practices, and delivers actionable recommendations to enhance data quality, interoperability, and strategic decision-making in a high-stakes healthcare environment.

Assessment of 11 DAMA-DMBOK knowledge areas:

• Data Governance: Level 4 (Managed) – Strong policies and legal framework
• Data Quality: Level 5 (Optimized) – Robust monitoring and quality assurance
• Data Security: Level 4 (Managed) – Clear access controls and compliance
• Data Storage & Operations: Level 2 (In Process) – No defined standards
• Reference & Master Data: Level 0 (No Capability) – No policy exists
• Data Warehousing: Level 3 (Defined) – Business intelligence in place but no warehousing strategy

The assessment revealed that while QH excels in governance and security, foundational areas like storage and master data are underdeveloped, posing risks to data consistency and operational resilience.

Proposed four AI-enhanced policies to address critical gaps: