TY - JOUR AU - Al-Azazi, Saeed AU - Singer, Alexander AU - Rabbani, Rasheda AU - Lix, Lisa M. PY - 2019 DA - 2019/07/02 TI - Combining population-based administrative health records and electronic medical records for disease surveillance JO - BMC Medical Informatics and Decision Making SP - 120 VL - 19 IS - 1 AB - Administrative health records (AHRs) and electronic medical records (EMRs) are two key sources of population-based data for disease surveillance, but misclassification errors in the data can bias disease estimates. Methods that combine information from error-prone data sources can build on the strengths of AHRs and EMRs. We compared bias and error for four data-combining methods and applied them to estimate hypertension prevalence. SN - 1472-6947 UR - https://doi.org/10.1186/s12911-019-0845-5 DO - 10.1186/s12911-019-0845-5 ID - Al-Azazi2019 ER -