Client Profile
A leading healthcare provider offering comprehensive primary care through a network of 350 clinics across 32 U.S. states. Clinics operate at or near the facilities of employers, unions, and other benefit sponsor clients, delivering convenient and accessible care to employees and members.
Scope of work
The engagement aimed to unify and modernize the client’s data and reporting environment following a multi-company merger:
- Integrate data from three different healthcare organizations into a single ecosystem.
- Build a consolidated Data Warehouse (DW) and unified reporting platform.
- Integrate all data into a single Electronic Medical Record (EMR) system.
- Rationalize and standardize reports across merged entities.
- Execute design, development, operations, and maintenance (O&M) for the new environment.
Tools and Technologies
- AWS, Salesforce
- Snowflake
- Matallion
- Tableau
- R, Python
Solution
- Implemented end-to-end data lifecycle management and governance processes.
- Designed and built a scalable data warehouse to support all reporting and analytics requirements.
- Performed report rationalization and standardization, eliminating redundancies and aligning formats.
- Consolidated data from three organizations into a single DW and reporting platform.
- Conducted pre-assessment of existing architecture, tools, and technology landscape to select the most suitable framework for the unified solution.
- Developed a DWBI analytical model for EMR integration and migration, including wellness and preventive analytics, as well as data conversion and transformation processes.
- Introduced a new data governance framework, defining ownership, stewardship, and quality control measures.
- Built metadata- and template-driven ETL pipelines to accelerate new data onboarding.
- Established data validation and reconciliation processes to minimize defect leakage and improve data quality.
Benefits
30%
Improvement in development efficiency by reducing the effort required for new pipeline creation.
25%
Reduction in reporting assets through consolidation, retiring redundant reports across three entities.
Delivered a single source of truth by integrating heterogeneous data sources, enabling consistent and advanced analytics.
40%
Reduction in healthcare costs through implementation of predictive and prescriptive analytical models for:
- Patient Health Risk Prediction
- Provider Resource Optimization
- Readmission Prevention
- Disease Management