Case Study: Progress achieves compliant analytics on 100 years of liability claims data with MarkLogic and Semaphore

Progress redacts and analyzes 100 years of claims data in 2 weeks with MarkLogic

Progress, a professional organization for healthcare providers, faced the challenge of analyzing 100 years of sensitive liability claims data containing unstructured documents and personal information. Strict privacy regulations prevented long-term storage, yet they needed to uncover insights to help members mitigate risks. They turned to the MarkLogic data platform with Semaphore Semantic AI for a solution.

MarkLogic implemented a system using Semaphore to automatically redact personal data, classify documents using medical ontologies like SNOMED, and structure the information. This created a searchable, analytic-ready content store from previously unusable data. The solution ensured regulatory compliance, replaced manual classification with automated processes, and enabled large-scale trend analysis. Progress can now identify claim patterns to educate members and make data-driven decisions, all while decreasing costs and maintaining compliance.

Progress