CASE STUDY

A Self-Service Population Health Analytical Tool

Turning Terabytes of Healthcare Data into Actionable Insights

A self-service analytics platform that empowers business analysts to explore data, identify cohort opportunities, evaluate interventions, and improve member outcomes.

The Challenge

The client ran on a wide range of tools for data visualization and analysis. While each tool had its specific use, they collectively lacked the versatility of an all-in-one, self-service analytics solution.

Time-Consuming Maintenance
Maintenance of disparate dashboards was highly time-consuming.
Manual SQL Extracts
Analysts routinely wrote SQL to extract data for ad-hoc reports.
No Standard Cohort Retrieval
No standard methods for retrieving cohort data.
No Trusted Dashboard
Lack of a reliable, intuitive dashboard to access trusted data with ease.

The Solution

We designed a robust, self-service analytical tool with integrated data services. This solution empowers business analysts to test hypotheses, extract data, and generate insights — saving time and amplifying their ability to impact positive health outcomes.

Explore From Multiple Angles
Easy-to-use interface to explore data from multiple angles.
Sources
Siloed data spread across the enterprise — claims, clinical, benefits, and pharmacy.
Transformation
Consolidated and standardized through automated ELT pipelines.
BigQuery
Data Warehouse
A combined view of all data across 4M covered lives in BigQuery, with pre-aggregated datasets to cut query cost and latency.
Self-Service App
Real-time cohort exploration for business users — no SQL required.
Pre-aggregated datasets and a caching layer keep dashboards fast while holding down BigQuery costs — putting trusted data directly in the hands of business users who'd never had self-service access before.
Fast, Reliable Extracts
Extracts raw and aggregated data quickly and reliably.
Compare & Track Over Time
Compares cohorts and tracks changes over time.
Data-Driven Decisions
Supports data-driven decisions to close gaps in care and optimize programs.

Results

Reduced Analyst Effort
Business users can answer questions without relying on technical teams.
Faster Opportunity Assessment
Analysts can test hypotheses and evaluate member cohorts in minutes instead of days.
Better Clinical Decision Making
Enables identification of care gaps, intervention opportunities, and program optimization.
Enterprise Scale Analytics
Processes terabytes of healthcare data across 4 million members with a secure, intuitive self-service experience.

System Features

Filter & Explore
Filter down to your population or cohort of interest using 500+ indicators (e.g., benefits, conditions, clinical program enrollment, care gaps, etc.).
Compare & Track
Compare cohorts and track changes in group metrics over time to measure the effectiveness of interventions and identify trends.
Summarize & Visualize
View cohort-specific summaries and trends using a wide range of metrics and KPIs—such as cost, utilization, ratios, counts, prevalence, risk scores, and benchmarks.
Import & Export
Import and export member lists and raw data for deeper analysis and easy integration with other tools and workflows.

“This is the most professional tool that I have seen at this organization.”

VP, Clinical Evaluation

TECHNOLOGIES USED

BigQuery
BigQuery
Google Cloud
Google Cloud
R
R
R Shiny
R Shiny
Docker
Docker