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

We developed a highly accurate EHR-based CP for diabetes in youth based on EHR data from UF Health. Consistent with prior studies, T2D was more difficult to identify using these methods.

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Publication Details

Journal
Diabetes Obesity and Metabolism
Published
2024-09-30
DOI
https://doi.org/10.1111/dom.15987
Citations
1
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
0.36

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article

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

Piaopiao Li, Yonghui Wu, Brian E. Dixon, William T. Donahoo et al.
1 citations
Diabetes Obesity and Metabolism
Diabetes Management and Research
0.36
article

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

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

Abstract

We developed a highly accurate EHR-based CP for diabetes in youth based on EHR data from UF Health. Consistent with prior studies, T2D was more difficult to identify using these methods.

Diabetes Obesity and MetabolismVol. 27(1)
Children's Hospital of Philadelphia (US), Emory University (US), Colorado School of Public Health (US), University of South Carolina (US), University of Florida Health (US), University of Florida (US), NYU Langone Health (US), University of Colorado Anschutz Medical Campus (US), Indiana University – Purdue University Indianapolis (US), Florida College (US)
National Institutes of Health, Centers for Disease Control and Prevention, National Institute of Diabetes and Digestive and Kidney Diseases
Good health and well-being
Openalex Percentile: Top 34%
Diabetes Management and Research
0.36
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