See how our data matching software helped West Virginia University asses the long-term impacts of certain medical conditions on patients over an extended period of time.
As a land-grant institution, the faculty, staff, and students at West Virginia University commit to creating a diverse and inclusive culture that advances education, healthcare, and prosperity for all.
They do this by providing access and opportunity; by advancing high-impact research; and by leading transformation in West Virginia and the world through local, state and global engagement. As one, they are purposeful in their studies and their work so that they can partner with their communities – both near and far – to bring needed and valued solutions to real-life problems within the pillars of education, healthcare, and prosperity.
West Virginia is the state’s only research, doctoral degree-granting, land-grant university and offers nearly 200-degree programs at the undergraduate, graduate, doctoral, and professional levels.
West Virginia University was tasked with assessing the long-term impacts of certain medical conditions on patients over an extended period of time. The determination to be made was whether previous medical conditions affected long-term health and patient care.
Data for the medical conditions and the current health records provided by the state exist in separate systems. The challenge was how to link the database records that identified the medical conditions in question to the current health records provided by the state.
The idea of linking these two groups of records was overwhelming for the research department. With hundreds of thousands of records to manage, the process would be very time-consuming and threaten the timeliness and process of the research activities.
Using DataMatch™, Data Ladder’s flagship data cleansing product, the university was able to clean records from several systems containing the required information. From there they were able to create a unified view of the patient over time
DataMatch™ cleans records for multiple sources
Save a great deal of time
Combine and match records across multiple lists. Create unique IDs faster.
Combine and match records across multiple lists
With best-in-class data cleansing and fuzzy matching capabilities, combined with customized training by Data Ladder specialists, the university was finally able to link the database records in question. They saved a great deal of time and were able to combine and match records across multiple lists significantly faster.
With the ability to constantly monitor data and locate certain records quickly, they could use DataMatch to look at information and make sure that payments were processed correctly and without human error.