Adapting electronic health records-derived phenotypes to claims data: Lessons learned in using limited clinical data for phenotyping.

Abstract excerpt

Algorithms for identifying patients of interest from observational data must address missing and inaccurate data and are desired to achieve comparable performance on both administrative claims and electronic health records data. However, administrative claims data do not contain the necessary information to develop accurate algorithms for disorders that require laboratory results, and this omission can result in...

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