June 14, 2017 // By Magenic
The company wanted to increase the rate and accuracy in which reports were generated for their providers
A nationwide health services company was suffering significant processing delays during the generation of critical data needed by their providers, a major component of their customer service business. The data was used by the providers to view their prospective member gaps in care and provide substantiations and necessary supporting documentation. The delays, which ranged from weeks to months, were due to the large number of legacy applications needed to process the data. Given that they were processing millions of reports each month that relied heavily on manual labor, their losses were substantial.
After a successful proof of concept was created to demonstrate the technical capabilities of using Java services, Magenic facilitated the creation of a fully automated system that could process the incoming data and manipulate it in order to create precise pdf reports/payments. Working in an Oracle environment, the solution was developed using Java and the BDPaaS Hadoop framework, which eliminated manual QA steps and SAS pain points.
By automating the steps in which these reports were created, the client was able to reduce turnaround time by up to 75%, effectively doubling their capacity. This allowed them to provide the right information, at the right time, to better serve their members. Due to the increased accuracy of the new system, costly errors that resulted in millions of dollars in rework have diminished. It has also positioned the client to expand their business with new customers utilizing their current staff.
The new system allowed 80% of orders to be processed within 5 business days and 100,000 reports to be generated in a 24-hour period.