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 ...
Although there's an ongoing ban on federal funding for the development of a national unique patient identifier, progress is still being made through collaborative efforts to improve patient data ...
This data matching approach has the potential to promote comparisons of the distribution of disease, treatment trajectories, and clinical outcomes among Veteran and non-Veteran populations with cancer ...
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 ...
More than 100 data scientists, nonprofit employees, and others gathered in Washington this month to put their skills to use with three charities that want to do a better job of harnessing the ...
The increasing prevalence of terms like “big data,” “machine learning,” and “artificial intelligence” across supply chain roles could make practitioners wonder if they need to go get a master’s degree ...
“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Terry Chen, product manager, Adobe ...
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 ...
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