Medical supply chain issues are exacerbated during pandemics, natural disasters, war, etc., and must be addressed Cybernet will investigate current logistic processes, available logistics data, and required capabilities to drive the development of an artificial intelligence based medical logistics planning system leveraging both expert system and machine learning technologies.
For this Small Business Innovative Research special accelerated effort to mitigate the impact of COVID-19, Cybernet was awarded a Phase II to create an Intelligent Medical Logistics Planning System (IMLPS) to address common inventory challenges faced by the medical community, including untimely outage of medicines and surgical equipment, overstock of supplies, identifying stock shortfalls, monitoring the supplying, and predicting supply chain issues and disruptions.
Directly leveraging the web based portal that Cybernet and LMI are currently developing for USINDOPACOM, it will monitor and track logistics assets and issues from a wide variety of different sources, and combine the information into a comprehensive one-page PowerPoint slide of linked information for review and dissemination.
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