@article{Zhong_Obeid_Craig_Pfaff_Thomas_Jaacks_Beavers_Carey_Lawrence_Dabelea_et al._2016, title={Efficient Surveillance of Childhood Diabetes Using Electronic Health Record Data}, volume={8}, url={https://ojphi.org/ojs/index.php/ojphi/article/view/6459}, DOI={10.5210/ojphi.v8i1.6459}, abstractNote={<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 >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 >90%. This stepwise surveillance approach resulted in a >70% reduction in the number of cases requiring manual validation compared to traditional surveillance methods.</p>}, number={1}, journal={Online Journal of Public Health Informatics}, author={Zhong, Victor W. and Obeid, Jihad S. and Craig, Jean B. and Pfaff, Emily R. and Thomas, Joan and Jaacks, Lindsay M. and Beavers, Daniel P. and Carey, Timothy S. and Lawrence, Jean M. and Dabelea, Dana and et al.}, year={2016}, month={Mar.} }