TY - JOUR AU - Zhong, Victor W. AU - Obeid, Jihad S. AU - Craig, Jean B. AU - Pfaff, Emily R. AU - Thomas, Joan AU - Jaacks, Lindsay M. AU - Beavers, Daniel P. AU - Carey, Timothy S. AU - Lawrence, Jean M. AU - Dabelea, Dana AU - Hamman, Richard F. AU - Bowlby, Deborah A. AU - Pihoker, Catherine AU - Saydah, Sharon H. AU - Mayer-Davis, Elizabeth J. PY - 2016/03/24 Y2 - 2024/03/28 TI - Efficient Surveillance of Childhood Diabetes Using Electronic Health Record Data JF - Online Journal of Public Health Informatics JA - OJPHI VL - 8 IS - 1 SE - Oral Presentations DO - 10.5210/ojphi.v8i1.6459 UR - https://ojphi.org/ojs/index.php/ojphi/article/view/6459 SP - AB - <p class="p1">We aimed to develop an efficient surveillance approach for childhood diabetes. We analyzed EHR data from two independent US academic health care systems. Presumptive diabetes cases were identified as those having &gt;1 of the five diabetes indicators in the past 3.5 years. EHRs of the presumptive cases were manually reviewed. We developed a stepwise surveillance approach using billing codes-based pre-specified algorithms and targeted manual EHRs review. The sensitivity and positive predictive value in both systems were approximately &gt;90%. This stepwise surveillance approach resulted in a &gt;70% reduction in the number of cases requiring manual validation compared to traditional surveillance methods.</p> ER -