Matching is the comparison of personal data from two or more different sources in a search for anomalous conditions. The anomaly might be the existence of a person in two different data sets where ...

Accurate person identity data is one of the most difficult challenges in healthcare today. The stakes are high; merge the wrong records, and you create a privacy risk; fail to link the right ones, and ...

NEW YORK--(BUSINESS WIRE)--InfoSum, the world’s leading data collaboration platform, today announced an agreement with Acxiom, the customer intelligence company whose data-driven solutions create ...

The Department of Human Services (DHS) has detailed a new data-matching project, this time concerned with Medicare fraud. As detailed in a new program protocol [PDF], the focus of the data-matching ...

Geospatial data integration and matching techniques are pivotal in reconciling spatial information from diverse sources, enabling comprehensive representation and analysis of the physical world. These ...

Syniti announces Syniti Match release for efficient, AI-driven data matching Your email has been sent On October 19th, Syniti, the global enterprise data management solutions provider, announced an ...

The Office of the National Coordinator for Health IT published the Patient Demographic Data Quality Framework of best practices for data management processes that enable hospitals to more effectively ...

With DataMatch Tool 2.0 (DMT 2.0), researchers can link data from different sources easily and quickly and take their research to a higher level. Based on their experience in academic research and ...