INTRODUCTION Symptoms of stress, depression, and burnout are prevalent in medicine, adversely affecting physician performance. We investigated real-time measurements of physiological strain in orthopaedic resident and faculty surgeon volunteers and identified potential daily stressors. METHODS We performed a prospective blinded cohort pilot study in our academic orthopaedic department. Physicians used a wearable fitness device for 12 weeks to objectively measure heart rate variability (HRV), a documented parameter of overall well-being. Baseline burnout levels were assessed using the Maslach Burnout Inventory questionnaire. Daily surveys inquiring on work responsibilities (clinic, operating room [OR], or "other") were correlated with physiological parameters of strain. Descriptive statistics and linear mixed effects modeling were used to evaluate bivariate relationships. RESULTS Of the 21 participating surgeons, 9 faculty and 12 residents, there was a response rate of 95.2% for the initial burnout survey. Daily surveys were completed for 63.8% (54.9 ± 22.3 days) of the total collection window, and surgeons wore the device for 83.2% of the study (71.6 ± 25.0 days). Residents trended toward lower personal accomplishment and greater psychological detachment on the Maslach Burnout Inventory, with 5 surgeons including 1 faculty surgeon (11.1%) and 4 resident surgeons (33.3%) found to have negatively trending HRV throughout the study period demonstrating higher physiological strain. Time in the OR led to increased next-day HRV (y-intercept = 47.39; B = 4.90; 95% confidence interval, 2.14-7.66; P < 0.001), indicative of lower physiological strain. An increase in device-reported sleep from a surgeon's baseline resulted in a significant increase in next-day HRV (y-intercept = 50.46; B = 0.64; 95% confidence interval, 0.11-1.17; P = 0.02). DISCUSSION Orthopaedic residents, more than faculty, had physiologic findings suggestive of burnout. Time in the OR and increased sleep improved physiological strain parameters. Real-time biometric measurements can identify those at risk of burnout and in need of well-being interventions. LEVEL OF EVIDENCE Level III.