What Is Data Enrichment? Behind the Scenes of ProviderTrust’s Exclusion Monitoring Strategy Written By Cristina Stahr Share this Though automation has made exclusion monitoring a much easier process, not all automated solutions deliver the same quality of results. Many solutions on the market return “potential matches” that require a client to sort through incomplete or missing data to piece together what their results mean. At ProviderTrust, uncertainty isn’t an option. Our clients deserve timely, accurate results that eliminate the noise, allowing them to focus on what truly matters. Enter data enrichment, the advanced data strategy we’ve spent over 15 years refining. Data enrichment enables us to identify exclusions that other automated solutions miss, delivering exact-match results you can trust with no manual intervention needed. How Data Enrichment Closes the Loop Our data enrichment strategy was born out of a need to bridge the gaps and inconsistencies among the various exclusion lists. We can’t control how disjointed the primary sources are, but we can control how we verify and store the data they give us. Think of exclusion monitoring as a puzzle. Each primary source provides a few pieces of the puzzle, but they still have to be assembled to give a complete picture—and sometimes pieces are missing. To complete the puzzle, we’ve aggregated all the data points contained in different primary sources to create a centralized, verified profile for each excluded individual and entity. This process, called data enrichment, makes ProviderTrust’s data set even more accurate than the primary source—because it includes verified unique data points from each primary source, rather than just one. Because the primary sources aren’t perfect, we also add multiple levels of internal verification by ProviderTrust’s data oversight team before enriching a piece of data. Two data experts review each piece of new data, and if they disagree on the validity of the data, we escalate it for further analysis using public records and sources such as NPPES, Nursys, and others. Over the course of 15 years, we’ve enriched more than 91% of all exclusions that exist today, which allows for faster, more precise identification when there’s a match in a client’s population and quick resolution for those “potential matches” other solutions pass on to their clients. This process not only ensures the accuracy of our results—it also requires many, many hours of expert manual research that other solutions either charge extra for or simply leave to their clients to solve. What Data Enrichment Means for ProviderTrust Clients When it comes to exclusion monitoring, you want to know that your results are trustworthy. Data enrichment takes the guesswork out of exclusion monitoring, giving ProviderTrust clients peace of mind and eliminating the need for manual work.
