Case Study: West Virginia University unifies patient records with Data Ladder Data Match

West Virginia University unifies hundreds of thousands of patient records with Data Ladder

West Virginia University faced the challenge of linking hundreds of thousands of patient records across separate databases to study the long-term impacts of medical conditions. This manual process was overwhelming and threatened to delay their critical research. To overcome this, the university utilized Data Ladder's Data Match software.

Data Ladder's solution enabled the university to clean and fuzzy match records from multiple systems, creating a unified view of each patient. This saved significant time by automating the removal of duplicates and the matching of lists. As a result, the university gained the ability to quickly combine records and monitor data in real time, leading to more efficient and accurate research outcomes.

West Virginia University