OBJECTIVE: Obesity-related electronic health record (EHR) functions increase the rates of measuring BMI, diagnosing obesity, and providing obesity services. This study describes the prevalence of obesity-related EHR functions in clinical practice and analyzes characteristics associated with increased obesity-related EHR sophistication. MATERIALS AND METHODS: Data were analyzed from DocStyles, a web-based panel survey administered to 1507 primary care providers practicing in the United States in June, 2013. Physicians were asked if their EHR has specific obesity-related functions. Logistical regression analyses identified characteristics associated with improved obesity-related EHR sophistication. RESULTS: Of the 88% of providers with an EHR, 83% of EHRs calculate BMI, 52% calculate pediatric BMI percentile, and 32% flag patients with abnormal BMI values. Only 36% provide obesity-related decision support and 17% suggest additional resources for obesity-related care. Characteristics associated with having a more sophisticated EHR include age ≤45years old, being a pediatrician or family practitioner, and practicing in a larger, outpatient practice. DISCUSSION: Few EHRs optimally supported physician's obesity-related clinical care. The low rates of obesity-related EHR functions currently in practice highlight areas to improve the clinical health information technology in primary care practice. CONCLUSIONS: More work can be done to develop, implement, and promote the effective utilization of obesity-related EHR functions to improve obesity treatment and prevention efforts.