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Empowering a Small Healthcare ASO with Data-Driven Transformation
Problem Statement: Manual Healthcare Reporting Hindering Growth
Before its digital transformation, a mid-sized Healthcare Administrative Services Organization (ASO) struggled with:
Manual Reporting Bottlenecks
Fragmented data and manual report creation delayed insights, limiting operational agility.
Fragmented data and manual report creation delayed insights, limiting operational agility.
Inconsistent Business Glossary
Lack of standard terminology caused misalignment between teams and misinterpretation of key metrics.
Lack of standard terminology caused misalignment between teams and misinterpretation of key metrics.
Undefined Reporting Requirements
Teams could not effectively define their data needs, leading to ad hoc reporting and rework.
Teams could not effectively define their data needs, leading to ad hoc reporting and rework.
Low Data Accuracy and Scalability
Heavy reliance on manual interventions led to poor data reliability and limited the ability to scale reporting processes.
Heavy reliance on manual interventions led to poor data reliability and limited the ability to scale reporting processes.
Solution: Architecting a Seamless Healthcare Data Ecosystem
JBS implemented a holistic healthcare IT transformation centered around data modernization and automated business intelligence:
3-Year Data Transformation Roadmap
Delivered a phased roadmap to evolve the ASO into a data-driven organization, including ingestion, modeling, and analytics.
Delivered a phased roadmap to evolve the ASO into a data-driven organization, including ingestion, modeling, and analytics.
Pattern-Based Data Ingestion:
Established standardized data connectors and ingestion patterns to ensure consistency and improve data quality.
Established standardized data connectors and ingestion patterns to ensure consistency and improve data quality.
Enterprise Data Model & ODS Implementation
Developed a centralized Operational Data Store and a robust enterprise model to serve as the authoritative source for KPIs and healthcare metrics.
Developed a centralized Operational Data Store and a robust enterprise model to serve as the authoritative source for KPIs and healthcare metrics.
Migration to Power BI from SSRS
Shifted all legacy reports to Power BI, enabling modern, interactive dashboards and self-service analytics.
Shifted all legacy reports to Power BI, enabling modern, interactive dashboards and self-service analytics.
Self-Service BI Enablement
Empowered business users with intuitive tools to run their own queries, reducing dependency on IT and fostering data democratization.
Empowered business users with intuitive tools to run their own queries, reducing dependency on IT and fostering data democratization.
Business Outcomes: Proven Efficiency & Healthcare Impact
7% Reduction in Claims Leakages:
Improved claims auditing and analytics minimized revenue loss and ensured compliance.
Improved claims auditing and analytics minimized revenue loss and ensured compliance.
Reporting Turnaround Cut from 45 to 2 Days
Automated workflows and centralized models significantly reduced TAT for executive insights.
Automated workflows and centralized models significantly reduced TAT for executive insights.
Proactive Care with Risk-Based Identification
AI-powered dashboards flagged high-risk patients earlier, enabling timely care interventions.
AI-powered dashboards flagged high-risk patients earlier, enabling timely care interventions.
Increased Care Management Revenue
Better coordination and proactive outreach led to improved care outcomes and new revenue opportunities.
Better coordination and proactive outreach led to improved care outcomes and new revenue opportunities.
Overall Reduction in Claims Volume
Insights from Power BI enabled smarter resource allocation and fewer avoidable claims.
Insights from Power BI enabled smarter resource allocation and fewer avoidable claims.
Technology Stack
Oracle
SQL
MSSQL
SQL Server
SSIS
SSRS
Power BI
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Telangana – 500081
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