Healthcare Data Analytics and BI Dashboard Implementation

Triple-S Salud

Problem:

The organization lacked unified visibility into medical costs and population health metrics across three distinct business lines, managing approximately 500,000 members.

Fragmented reporting systems and inconsistent data definitions prevented comprehensive risk stratification, delayed clinical and financial insights, and forced manual aggregation of metrics across business units.

This operational fragmentation hindered proactive intervention on high-cost populations and limited the organization's ability to identify systematic inefficiencies or emerging health trends at scale.

Solution:

Architected and deployed a standardized BI platform leveraging SQL for data modeling and Power BI for analytics visualization, serving as the enterprise source of truth for population health and medical cost intelligence.
Built a normalized data warehouse that consolidated claims, enrollment, and clinical data from multiple source systems, applying standardized definitions and metrics across all three business lines.
Designed a comprehensive dashboard suite tracking medical costs (claims spend, per-member per-month trends), demographic segmentation, utilization patterns (ED visits, hospitalizations, procedure rates), and risk indicators enabling stratified population management.

Results:

Reduced manual reporting burden by 80%, eliminating time-intensive monthly data compilation across business lines and enabling analytics teams to focus on insight generation rather than data wrangling.
Enabled early risk detection through automated identification of high-cost individuals and emerging utilization patterns, supporting proactive clinical interventions and care management initiatives.
Standardized reporting metrics and definitions across business lines, eliminating reporting discrepancies and creating a unified lens for executive portfolio management.
Established a scalable analytics foundation supporting population health stratification for 500,000 members and enabling data-driven care delivery and financial optimization strategies.

Technical Highlights:

Developed SQL-based ETL processes for claims and enrollment data from multiple legacy systems into a unified data warehouse.
Designed normalized dimensional schemas optimized for both cost analysis and population health metrics.
Created Power BI data models with calculated measures for complex health economics metrics including cost per member, utilization ratios, and risk stratification scores.
Built interactive dashboards enabling drill-down analysis from enterprise-wide cost trends to individual member cohorts segmented by diagnosis, age, and risk tier
Implemented standardized KPI definitions and calculation logic ensuring consistent reporting across all three business lines and eliminating previous reporting discrepancies.
Configured automated data refresh pipelines ensuring dashboards reflected current claims and enrollment data.

Healthcare Data Analytics and BI Dashboard Implementation

Triple-S Salud

Problem:

Solution:

Results:

Technical Highlights:

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