CASE STUDY

Modern Solutions for a Modern Health Insurance Organization

The Challenge

Our client is amongst the fastest growing healthcare payer organizations in the nation. However, like many of the clients we help, they were suffering from slow data processes due to legacy systems and software. These older processes required overnight queries and had difficulties handling multiple workloads.

This latency was due to very poor coding standards, bad versioning control as well as a problematic environment management system. Because of this, users grew increasingly dubious of the system which led to gaps in their data and more importantly gaps in their effectiveness of care.

The Conflict?

A top regional health insurance organization was burdened with legacy processes effecting the quality of care for their 3.9 million members.

The Solution

After a brief discovery session, our team of healthcare and data & analytics experts began working to improve processing speeds by consolidating, restructuring and automating deployments. This was accomplished by introducing Git Version Control software and DevOps repos and pipelines to continuously plan, develop and release updates in a timely fashion. We also implemented peer review tracking on all push requests to production. This permits users to dig into the code further allowing for quicker bug fixes to maintain optimal query and commute speeds.

Goals

Provide mainstream solutions to help mainstream processes and process management.

The Result

By transitioning the organization away from their legacy systems to modern solutions like Git and DevOps, our client was able to reduce processing speeds by 3 to 4 hours on a single project. As a result, they can now continuously improve processes with version control software, simultaneous maintain stability, and develop and improve the overall quality of the process with peer review tracking. We are proud of our work with this client because not only did we boost query speeds, but in doing so we also improve the collective confidence in the organization’s data services allowing for users to close the gaps for better effectiveness of member care.

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