Case Study: West Virginia University achieves rapid cross-database patient record linkage with Data Ladder's DataMatch

West Virginia University - Customer Case Study

West Virginia University, the state’s only research and doctoral-degree granting institution, needed to assess long-term impacts of certain medical conditions by linking historical condition records to current state health records. With hundreds of thousands of records split across separate systems, the research team faced an overwhelming, time-consuming matching challenge and engaged Data Ladder, using their DataMatch™ data‑cleansing and matching product.

Data Ladder implemented DataMatch™ to clean, fuzzy-match and combine records from multiple sources, create unique IDs, and produce a unified longitudinal view of patients with real‑time feedback on data changes. The solution enabled West Virginia University to link datasets much more quickly, save significant staff time, and adopt DataMatch™ as a go-to resource; Data Ladder’s software has also been shown to find roughly 5–12% more matches than leading competitors, improving linkage accuracy.

West Virginia University