Multimodal neuromonitoring enhances brain assessment, but generating cEEG reports is time-consuming, especially for pediatric patients. This study develops a semi-automated system for EMR-ready neuro monitoring reports, integrating qualitative and quantitative neurometrics. Partnering with Phoenix Children’s Hospital, we automate data extraction and use a standardized web-based framework for customizable reports. Our prototype streamlines multimodal reporting, with future work focused on advanced analytics, visualization, and clinical validation.