Improving Inferences Regarding Patient Events Using Emergency Medical Services Response-Based Data
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The authors aim to determine whether data from the National Emergency Medical Services Information System can effectively identify multiple EMS responses to a single patient encounter. By analyzing EMS responses to assaults in New York City, they found that matching on 911 call time, patient demographics, and location can accurately screen for duplicate responses, enhancing the reliability of patient-level event inferences. Their findings suggest that this approach can improve the understanding of EMS data in research contexts.
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