During mass casualty incidents, a large number of patients need to be triaged accurately in order to save the maximum number of lives. Recently portable health systems have been developed that can gather patient's vital signs and wireless transmit this information to a central location for analysis. This research introduces a methodology to improve triage in mass casualty incidents by combining statistical optimization techniques with mobile health systems to manage resources using evidence based data. We combine data collected during a field test with data of patient's vital signs to simulate how mobile health systems can optimize resources in emergency response situations.