For centuries, the study of traumatic brain injury (TBI) has been centred on historical observation and analyses of personal, social, and environmental processes, which have been examined separately. Today, however, computation implementation and vast patient data repositories are producing datasets of such volume and complexity as to challenge traditional scientific methodology. Drastically different approaches show great promise for research on TBI. We report a computational analysis of health status over time using population-wide health administrative data of patients with TBI. Our approach facilitates health status at injury event evaluation and classification, and unfolds health status trajectories, from that of preceding injury to the injury event itself, as they concern external causes of injury and injury severity. Taken together, the contrasting and interwoven aspects of health status on a time continuum can influence injury event trajectories and should be considered in TBI risk analysis for the improvement of diagnosis, treatment, and prevention.