Providing military medical care in austere environments requires a multimodal approach to optimize TBI patient management. The MIND group has developed a common data format using HDF5, enabling high-resolution physiological data storage, metadata integration, and real-time analysis for patient state assessment and trajectory prediction. 257 patient files (742GB) from TRACK-TBI were converted into HDF5, achieving a 62.8% reduction in file size via Gzip and scale-offset compression. Successfully implemented in IBM Cloud, this format is currently in use for BOOST-3 and TRACK-TBI trials. Future work will expand device compatibility and data sources to enhance neurocritical care research and clinical applications.