REMOTE HEALTH SOLUTIONS LLC — Department of Defense SBIR Phase I: N211-002

Description

The US Marine Corp has an existing critical capabilities gap/requirement to equip medical logistics (MEDLOG) units with a Just-in-Time Medical Logistical Resupply System (JITMEDLOG) for medical resupply due to vulnerabilities revealed in fragile, remote systems that must be addressed to improve the reliability and robustness of these systems, e.g., Defense Medical Logistics Standard Support (DMLSS), Medical Common Operating Picture (MedCOP). Remote systems such as the latter and those made inaccessible by external events (e.g,. health emergencies, natural disaster, and wartime) must evolve into dynamic/agile, reliable, and robust logistical support systems and networks. It is paramount to enhance the remote system’s knowledge-of-self and dynamic data sharing and routing for current and future logistical needs. This is primarily due to long lead times on products, blood, and other supplies, causing a long delivery pathway. Significant unknowns in a contested environment with long range weapon capability also create the need for flexibility in communications and security. The current medical tracking process is comprised of paper filing and email; thus, the Marine Corps has a strong need to modernize and automate the process for supply tracking/re-tracking, to include logistics of how to transport and when to order based on where an item of need is coming from for all reorders and resupplies. Remote Health Solutions, LLC (RHS) is an authorized distributor/reseller of the Battlefield Assisted Trauma Distributed Observation Kit (BATDOK) and the worldwide Virtual Exam Room (VER) telemedicine video consult platform with real-time diagnostic patient data streaming. RHS has teamed with SIMBA Chain, Inc., experts in blockchain logistics and radio-frequency identification (RFID), (hereinafter, Team RHS) to offer the Marine Corps our real-time Resupply Internet of Things (IOT) (RIOT) ruggedized platform concept, complete with secure, tagged, and ratified data for JITMEDLOG analytics and medical supply tracking in order to enable patient care and decrease current pitfalls via modernization and automation. We propose a concept that is compatible with MHS Genesis to identify catalysts that either complement or replace existing delivery networks for worn, failed, or depleted parts and supplies. We will do this by providing RIOT analytics services based on assured data from device, human, and environmental sensors. This assured data can be used as a trustworthy foundation for employing Artificial Intelligence (AI) and Machine Learning (ML) to support predictive analysis. We propose to leverage data, including environmental conditions such as training vs. theater, extreme conditions, humidity, temp, altitude, etc., to predict maintenance and supply chain requirements. Data will be protected, delineated, and secured using blockchain techn and will support a single source of truth for individual assets and enable data access restrictions relevant to individual roles.