Global crises such as pandemics or natural disasters present a direct threat to US Navy operational readiness by impacting Navy personnel and the delivery of the medical supplies and patient care that supports them. Our proposal, based on technology from EVRYTHNG, would allow the US Navy to seamlessly fuse medical manufacturing, distribution, and patient care in a platform that digitizes billions of discrete physical items, and converts each one into a gateway for task-specific digital interaction by humans and automated sensors. The accumulated data is used to power dashboards covering both supply chain and patient care use cases. The project will demonstrate the above through a specific example: the digitization and employment of COVID-19 test kits. Such a capability would safeguard Navy operational readiness against COVID-19 by allowing command to ensure adequate supply of test kits by location, and facilitating a continuous, massively scaled virus testing program through digital result capture and real time test vs. infection reporting in forward deployment areas. The platform and core technology concepts are already proven commercially with multiple manufacturers. This project would further enhance and customize the EVRYTHNG solution for the US Navys specific goals in Digital Logistics for Patient Care.
Benefit: EVT plans to adapt its commercial platform and digital identity technology, which has a TRL 9 technology maturity, to U.S. Navy roles and missions to support improved operational readiness, personnel fitness, and patient care by digitally enabling supply chains of medications, medical equipment, and personnel records. EVTs ultimate interests are in pursuing a Phase III program to engage in an enterprise-level operational deployment with Navy-adapted functionality and augmentation that would be developed in Phase II and create a demonstrable and measurable impact in practical application of the final format and under mission conditions. EVT sees the extension of this new set of capabilities provided by the EVT platform, applicable to other U.S. Military Services and with a wider array of DoD and Federal agencies such as the FDA and VA to aid in the modernization of digital logistics, especially within the context of improving medical care. To this effect, EVT has already had initial discussions with several commercial and government agencies about additional development work, including the FDA. This project can serve as a foundation for the U.S. Navy to continue innovating and building high-value technical capabilities such as machine learning, artificial intelligence, decision optimization, and intelligent workflow automation. EVT is prepared to adapt, augment, and integrate its technology platform for Navy missions and to improve and enhance the ability of government organizations to leverage high-fidelity digitization of logistics operations and supply chains, which will produce data transparency, traceability, authentication, provenance, and integrity among billions of products and items. EVT estimates that its adapted platform, if supported by the Navy, could enable EVT to participate in the $50 billion annual market for DoD and USG logistics and supply chain management. With the wide range of possible applications and current market demand for this type of disruptive innovation, EVT estimates a total commercial addressable market of $1.2 trillion a year on a world-wide basis. EVT is confident that the proposed innovation research with the U.S. Navy will provide a springboard and competitive advantage for various market-sector versions of the platform solution with pharmaceuticals, biotech, aviation, agribusiness, and global logistics managers. EVT intends to pursue opportunities with government and commercial organizations to the fullest extent possible to improve and enhance the ability of logistics managers throughout the global supply chain sector to assure the transparency, integrity, authenticity, and fidelity of their systems.
Keywords: logistics systems architecture, logistics systems architecture, data analytics technology, Artificial Intelligence, medical supply chain, internet of things, Machine Learning, Digital Logistics, supply chain management
