A cross-sectional survey assessed work-related computer use and symptoms in primary care clinics at 2 academically affiliated centers in San Diego, California, with distinct EMRs. The US Department of Veterans Affairs (VA) San Diego Healthcare System group converted to the VA CPRS/VISTA EMR9 8 years prior to the survey, and the University of California, San Diego (UCSD) Medical group practice adopted the EpicCare EMR 1 year prior to the survey. Both systems require extensive physician keyboarding and/or mouse clicks. Fifty-nine physicians (87% of those targeted) completed the 20-minute survey. A visual analog scale (VAS) assessed UEMSs attributed to computer use (scale, 0-100), validated against the QuickDash measure of UEMSs, not specific to computer use.10 Demographic variables reported to predict UEMSs (age, sex, and body mass index [BMI] components [weight and height])11 and computer use (EMR-using clinical sessions per week and hours per week of computer use) were elicited, as were institution, years of computer use, and years of EMR use. Bivariable relations of dichotomized VAS scores to categorical variables were assessed by χ2 analysis. Multivariable regression evaluated prediction of UEMSs (continuous VAS) by computer variables, adjusted for UEM predictors of age, sex, and BMI.11 A 2-sided α level of .05 was used to indicate statistical significance. This project was approved by the UCSD Human Research Protection Program & San Diego VA Research Compliance office.