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Assessing the Concordance of Clinical Classification Criteria for Lupus Between Electronic Health Records and a Physician Curated Registry
Theresa L. Walunas, Anika S. Ghosh, Jennifer A. Pacheco, Kathryn L. Jackson, Anh H. Chung, Daniel L. Erickson, Karen Mancera-Cuevas, Rosalind Ramsey-Goldman, Abel N. Kho
We developed a computable phenotype for systemic lupus erythematosus (SLE) based on the Systemic Lupus International Collaborative Clinics clinical classification criteria set for SLE. We evaluated the phenotype over registry and EHR data for the same patient population to determine concordance of criteria detected in both datasets and to assess which types of structured data detected individual classification criteria. We identified a concordance of 68% between registry and EHR data relying solely on structured data.
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