Solutions: Healthcare Rating Application

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The largest customer-owned health insurance company in the US offers a wide variety of health and life insurance products. One of their 2018 goals were to enhance their existing rating application capabilities to better perform quote creation.


Purpose

In order to boost their existing rating application, the project would need multiple functionality improvements while augmenting the current rating methods. The current rating application was first developed back in 2006, and since then its been evolving, however through this project, efforts would need to be made towards implementing the latest technological advancements that it was lacking.

Process

The development team’s initial focus was finding bugs, errors, and failures, as well as performing regression tests on all requirements for the latest changes in the project. They first gathered all requirements from the Business Analysts and Underwriters. From there, they attended manager’s and underwriter’s meetings and conference calls to better understand the requirements so they are able to program the latest changes without disturbing the current application model.

Once the changes were made and implemented, they are then moved to a test environment and that is where they were in need of a Automation Tester.

Solving IT identified an Automation Tester with strong QA and healthcare experience. He created effective test cases to analyze the recent functionality changes. In addition, he also created selenium scripts and automated the tasks of testing and generating reports for the executed test scripts.

The consultant lived in the application and tested to extract bugs or failures. If there were bugs or failures in the functionality, he reported directly to the developer and they worked to find the root cause, and ultimately fixing the issue. Concluding with retesting to ensure the proper solution was implemented.

Results

This project achieved full scale deployment of the latest requirement to production. Critical bugs to minor errors were found and successfully fixed and ultimately deployed into production. From here, the application was submitted to the maintenance team to complete the test execution report. THe project was then completed and signed off.


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