Using Data Integration to Improve Health and Welfare Insights

Area of Science:

• Public Health
• Health Informatics
• Data Science

Background:

• The Australian Institute of Health and Welfare (AIHW) is a key provider of health and welfare information.
• AIHW's data integration program drives innovation to address information gaps and national priorities.
• Data integration is crucial for evidence-based decision-making in health and welfare.

Purpose of the Study:

• To highlight the AIHW's role and capabilities in data integration for health and welfare research.
• To showcase how AIHW's accredited data integration supports high-risk research projects.
• To demonstrate the impact of AIHW's data integration on improving health and welfare outcomes.

Main Methods:

• AIHW partners with data custodians and specialists for data integration and analysis.
• AIHW obtained accreditation as an integrating authority by meeting stringent criteria for governance, capability, and data management.
• Projects involve integrating Australian government data for research purposes.

Main Results:

• AIHW's integration projects have yielded improved research outcomes, identifying vulnerable populations.
• Enhanced understanding of health risk factors and development of targeted interventions.
• Generated new insights into dementia, disability, health service use, patient experiences, and suicide.

Conclusions:

• AIHW's accredited data integration is vital for high-risk research and informing national health priorities.
• Data integration by AIHW leads to better health and welfare outcomes through evidence-based insights.
• Future projects will explore the links between determinants of wellbeing.