1. A method for detecting potential fraud in vehicle insurance claims, the method executed by one or more processors programmed to perform the method, the method comprising: receiving, at one or more processors, identification information for a damaged vehicle and sensor data captured during a vehicle crash involving the damaged vehicle including at least one of: vehicle part position data from spatial sensors disposed within the damaged vehicle, vehicle acceleration data from an accelerometer disposed within the damaged vehicle, vehicle velocity data from a positioning device disposed within the damaged vehicle, or vehicle direction data from the positioning device; receiving, at the one or more processors, an indication of an injury for a person involved in the vehicle crash with the damaged vehicle, including a location of the person with respect to the damaged vehicle when the injury occurred and at least one of: an indication of a type of the injury or an indication of a severity of the injury; analyzing, by the one or more processors, the identification information and the sensor data to identify a matching set of historical collision data for a same type of vehicle as the damaged vehicle, wherein the matching set of historical collision data includes historical injury data; determining, by the one or more processors, one or more likelihoods that at least one of: the received type of the injury occurred or the received severity of the injury occurred from the location of the person with respect to the damaged vehicle based on a subset of the historical injury data corresponding to the matching set of historical collision data for injuries occurring at the location of the person with respect to the damaged vehicle; comparing, by the one or more processors, each of the one or more determined likelihoods to one of a plurality of predetermined threshold likelihoods; when each determined likelihood is less than the respective predetermined threshold likelihood, generating, by the one or more processors, a suspicious loss indicator for the injury based on the likelihood that the received injury occurred; and transmitting, by the one or more processors via a communication network, the suspicious loss indicator to a mobile computing device for display to flag the injury as a risk of fraud.