HealthTech

Revenue Cycle Management & Claims Processing

Technologies Used

Snowflake
SQL Server Reporting Services (SSRS)
SQL Server Data Tools (SSDT)
COPY INTO (Snowflake ingestion pattern)
MERGE (Snowflake upsert pattern)

Project Solution

Chetu reengineered legacy billing pipelines with Snowflake, enabling scalable ingestion, reliable data flows, real-time claims analytics, and ef- ficient reporting to enhance healthcare revenue cycle performance and decision-making.

The Client

A distributed, multi-clinic provider processing high volumes of claims across multiple locations, where accurate, real-time insights into claim status, payment cycles, and outstanding balances directly impact revenue cycles and operational planning.

The Solution

A multi-clinic healthcare billing and claims management provider that used its legacy Kareo API and a pipeline based on Windows services encountered multiple issues. Continuous communication failures, stalled workflows, and shoddy reporting reduced efficiency and clouded the organization’s decision-making and financial prospects.

They reengineered their pipeline using Snowflake as the data platform of record—partnering with Chetu to ensure best-practice implementation. This architecture restructuring enabled scalable ingestion, increased reliability, and real-time analytics while removing architectural roadblocks and consolidating data flow across the company to produce a foundation for operational intelligence prepared for the future.

The Approach

Architecting for Scale and Speed

Chetu replaced API-layer ingestion with direct Snowflake integration, removing intermediary Windows services. This change enabled high-performance SQL execution and reduced latency across the reporting stack.

As a result of implementing the caching of results and standard queries, approximately 60% of the daily questions were addressed directly from the cache, which reduced the response time by 60%, reduced 40% of processing costs, and allowed for the handling of ~35 % more report requests without additional infrastructure.

Optimizing the Pipeline

Implemented incremental loading patterns using COPY INTO and MERGE for efficient updates.
Applied advanced SQL techniques—window functions and CTEs—for in-platform data transformation.
The payload size has been minimized prior to the report layer to improve the speed and reduce the load.

These steps ensured transformations were efficient and scalable.

Ensuring Reliability

Implemented auto-retry logic and detailed logging to cover end-to-end visibility.
Integrated real-time monitoring feature to detect anomalies in advance to maintain SLAs.

This was complemented by proactive surveillance.

Enhanced Reporting

Installed and configured SSDT and ODBC for integration with Snowflake.
Fine-tuned SSRS queries to avoid timeout and maintain high-volume, cross-departmental reporting.

This meant reporting teams could work without interruption.

The Impact

Operational Gains

Report generation time was reduced to under a minute due to efficient data access and caching.
Reduced manual intervention and made it independent of in-house teams by centralizing transformation logic.
Scalable, governable architecture rolled out across department, modeled after large-scale deployments including NYC Health + Hospitals’ Snowflake “data hub” processing 100B+ rows with healthcare-grade security—proven the possibility of secure, high-scale claims analytics.

Using the performance and caching features implemented by Chetu — a certified Snowflake partner —a higher volume of reporting requests was served without expanding compute resources.

Business Benefits

Consistency and correctness of data among workflows.
Faster decision making from near real-time insights into cash flow and claims status.
Cost-effective scaling through Snowflake’s consumption-based pricing model and query performance improvements.

By modernizing its data architecture with the expertise of Chetu- a Snowflake Certified Partner, the organization not only eliminated immediate operational bottlenecks but also positioned itself for long-term growth—leveraging the same high-scale, secure, performance-driven principles proven by industry leaders.

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