Developing an automated algorithm for identification of children and adolescents with diabetes using electronic health records from the OneFlorida+ clinical research network.

doi:10.1111/dom.15987

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Developing an automated algorithm for identification of children and adolescents with diabetes using electronic health records from the OneFlorida+ clinical research network.

Diabetes, obesity & metabolism - 1 Jan 2025

Li Piaopiao, Spector Eliot, Alkhuzam Khalid, Patel Rahul, Donahoo William T, Bost Sarah, Lyu Tianchen, Wu Yonghui, Hogan William, Prosperi Mattia, Dixon Brian E, Dabelea Dana, Utidjian Levon H, Crume Tessa L, Thorpe Lorna, Liese Angela D, Schatz Desmond A, Atkinson Mark A, Haller Michael J, Shenkman Elizabeth A, Guo Yi, Bian Jiang, Shao Hui

Abstract excerpt

AIM: To develop an automated computable phenotype (CP) algorithm for identifying diabetes cases in children and adolescents using electronic health records (EHRs) from the UF Health System. MATERIALS AND METHODS: The CP algorithm was iteratively derived based on structured data from EHRs (UF Health System 2012-2020). We randomly selected 536 presumed cases among individuals aged <18 years who had (1) glycated...

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PMID: 39344840
DOI: 10.1111/dom.15987
PMCID: PMC11620941

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