Case Study: Intelligent Document Processing Helps an Insurance TPA Process Claims 80% Faster
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The Situation
A IRDAI Licensed Third Party Administrators (TPA) in the healthcare sector wanted to streamline its claims processing operations to deliver a better customer experience.
The process in place was cumbersome, manual and paper-based. The executives manually extracted the required information and entered them into the data processing systems. The company was looking to eliminate this process and replace it with an automated data capture and extraction solution for end-to-end data processing management.
What Data Semantics Implemented?
Data Semantics created a streamlined, highly automated claims process. Fewer repeat calls requesting information and more automation mean faster disbursements—and more satisfied policyholders. Productivity increased by 65% and handoffs lowered by 35%, reducing operations costs by millions.