Objective:

To develop a population health intelligence dashboard that integrates clinical and administrative priorities for managing diabetes care.

Approach:

• Study Setting and Data Sources: Utilized data from the SingHealth Diabetes Registry (SDR), a comprehensive repository of diabetes-related patient data from Singapore Health Services, covering individuals aged 18 and older diagnosed with diabetes mellitus. The SDR is significant as it provides a high degree of data completeness and is well-suited for longitudinal analysis.
• Key Dashboard Features: The dashboard was developed through stakeholder engagement, focusing on three core analytic domains: health status indicators, process indicators, and inpatient utilization.

Key Findings:

• The dashboard integrates health status indicators, process indicators, and inpatient utilization to provide a comprehensive view of diabetes care.
• Health status indicators include demographic filters, comorbidities, and diabetes-related complications.
• Process indicators reflect adherence to evidence-based care protocols and quality of chronic disease management.

Interpretation:

The dashboard aims to facilitate data-driven planning and support targeted interventions to improve health outcomes for diabetes patients.

Limitations:

• The study is limited to data from a single health system in Singapore, which may affect generalizability and the applicability of findings to other contexts.
• The dashboard's effectiveness in real-world applications has yet to be evaluated.

Conclusion:

The development of this interactive dashboard represents a step towards enhancing population health management for diabetes care.