Developing a Computable Phenotype for Identifying Children, Adolescents, and Young Adults With Diabetes Using Electronic Health Records in the DiCAYA Network.

doi:10.2337/dc24-1972

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Developing a Computable Phenotype for Identifying Children, Adolescents, and Young Adults With Diabetes Using Electronic Health Records in the DiCAYA Network.

Diabetes care - 1 Jun 2025

Shao Hui, Thorpe Lorna E, Islam Shahidul, Bian Jiang, Guo Yi, Li Piaopiao, Bost Sarah, Dabelea Dana, Conway Rebecca, Crume Tessa, Schwartz Brian S, Hirsch Annemarie G, Allen Katie S, Dixon Brian E, Grannis Shaun J, Lustigova Eva, Reynolds Kristi, Rosenman Marc, Zhong Victor W, Wong Anthony, Rivera Pedro, Le Thuy, Akerman Meredith, Conderino Sarah, Rajan Anand, Liese Angela D, Rudisill Caroline, Obeid Jihad S, Ewing Joseph A, Bailey Charles, Mendonca Eneida A, Zaganjor Ibrahim, Rolka Deborah, Imperatore Giuseppina, Pavkov Meda E, Divers Jasmin

Abstract excerpt

OBJECTIVE: The Diabetes in Children, Adolescents, and Young Adults (DiCAYA) network seeks to create a nationwide electronic health record (EHR)-based diabetes surveillance system. This study aimed to develop a DiCAYA-wide EHR-based computable phenotype (CP) to identify prevalent cases of diabetes. RESEARCH DESIGN AND METHODS: We conducted network-wide chart reviews of 2,134 youth (aged <18 years) and 2,466 young...

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PMID: 40163581
DOI: 10.2337/dc24-1972
PMCID: PMC12094193

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