Medicare Firm Enjoys 60% Faster Onboarding With Cloud Integration

A leading healthcare organization was experiencing major delays in provider onboarding and roster updates due to manual data handoffs between legacy systems. With critical processes scattered across outdated platforms, data often arrived late or incomplete, creating bottlenecks for downstream teams.

The organization also struggled with inconsistent data across systems, leading to inaccuracies in claims, member services, and analytics. Legacy integrations lacked scalability and observability, slowing day-to-day operations and increasing the risk of non-compliance. Without real-time access to reliable data, teams had limited visibility and could not keep pace with business demands.
Ascendion built a scalable Cloud Integration Layer (CIL) using Azure API Management, Function Apps, and Service Bus to create seamless, real-time data movement across platforms. This eliminated manual handoffs and improved the accuracy and speed of provider data updates. 
We enabled both real-time and batch ingestion into the Enterprise Data Hub (EDH) and the Clinical Fabric Lakehouse, ensuring that teams had timely and consistent access to the data they rely on every day.
A metadata-driven ingestion framework built using Ascendion’s AAVA Data Onboard Express, standardized onboarding patterns across multiple domains. Reusable APIs, standardized DMS patterns, and mock frameworks accelerated testing and improved governance across integrations. 
To reduce deployment risk, we implemented CI/CD pipelines via Azure DevOps, enabling controlled rollouts, better quality, and faster delivery across environments. 

Trusted by Clients. Respected by Partners.

Clients cite strong leadership, responsiveness, and reliable delivery. Partners point to engineering depth, SME coverage, and a steady focus on outcomes over activity.

Tech Stack:

Microsoft Azure, Microsoft Fabric – OneLake, Pipelines

Business Impact

40% reduction in manual coordination through automated, real-time data ingestion. 

3x improvement in data availability for analytics and reporting, enabling faster operational decisions. 

60% faster onboarding of new data sources using reusable APIs and automated pipelines. 

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