Noa Segall, PhD, Assistant Professor of Anesthesiology and human factors engineer in the Human Simulation and Patient Safety Center, received a 1-year $99,989 AHRQ Small Research Grant Program (R03) entitled “Workload Effects on Response Time to Life-Threatening Arrhythmias”. To increase the potential for timely detection and treatment of in-hospital cardiac events, more and more at-risk patients are now monitored remotely by cardiac telemetry technicians. However, decisions regarding the appropriate number of patients that a single technician may safely and effectively monitor are largely based on technological capabilities and not on our understanding of human information processing limitations. We propose to use high-fidelity simulation of cardiac telemetry to determine the impact of increasing the number of patients monitored on response time to cardio-respiratory events. The knowledge to be gained will inform efforts to study this problem in real world cardiac telemetry and, ultimately, help to develop evidence-based standards for remote monitoring.