PS2-19: Developing an Automated Surveillance for Fetal Alcohol Syndrome Using Electronic Medical Records

摘要

Background/AimsPrenatal alcohol exposure is the leading preventable cause of birth defects and developmental disabilities. The full diagnosis of Fetal alcohol syndrome (FAS) requires assessment of: class="enumerated" style="list-style-type:decimal">prenatal exposure to alcohol,facial dysmorphology by a geneticist,restricted growth parameters, andcentral nervous system (CNS) abnormalities as denoted by small head circumference/structural anomalies, neurological deficits, and/or significant functional deficits.Using integrated information available at one source, we assessed the feasibility of developing an FAS surveillance system using the Kaiser Permanente Georgia (KPGA) Health Plan EMR.