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

• Coarse code granularity, erroneous data entry and poor generalizability may influence the performance of phenotyping algorithms. • Vocabulary-driven methods for concept sets creation shows advantages in improving the accuracy for phenotyping. • Observational Health Data Sciences and Informatics (OHDSI) OMOP Common Data Model facilitate phenotype generalizability and consistency. • More data is not necessarily better: performance of a...