BEGIN:VCALENDAR VERSION:2.0 PRODID:-//swoogo.com//NONSGML kigkonsult.se iCalcreator 2.41.90// CALSCALE:GREGORIAN UID:38643064-3733-4164-a339-393839666261 BEGIN:VEVENT UID:5f0c5987653d037e18c830602372eb5da3da231e@swoogo.com DTSTAMP:20261008T010434Z DESCRIPTION:The Special Operations Forces Arctic Medic (SOFAM) Alaska exerc ise integrated a proof-of-concept for Augmented Reality (AR) tele-mentorin g of Alaska Army National Guard (AKARNG) National Registry Paramedic level medics for surgical\, anesthesia\, and prolonged casualty care support wi th military physicians at Brooks Army Medical Center. Paramedic level medi cs provided for a level of trained medics who on a distributed model\, cou ld make an impact on the battlefield. The concept was designed to evaluate the feasibility to enhance medical care delivery in remote\, austere envi ronments by integrating frontline medics and corpsmen with real-time suppo rt via AR from a Level I trauma center. Conducted aboard a moving train th rough Alaska’s Arctic terrain\, the exercise simulated battlefield conditi ons where initial care was provided by deployed AKARNG medics equipped wit h advanced AR and biometric monitoring systems. These systems enabled cont inuous\, bi-directional communication and secure data transmission between the point of injury/care and remote trauma specialists\, facilitating rea l-time mentorship and clinical decision-making. Tele-Delegate vital signs were captured via a wearable physiological monitoring device and simulated patient data via a Zoll were both transmitted to the trauma center\, allo wing specialists to dynamically guide interventions and triage decisions. This distributed care model demonstrated the feasibility of extending high -level medical expertise into the battlespace without physical co-location \, significantly improving survivability and care quality in remote operat ions. In parallel\, the exercise introduced a digital modernization framew ork featuring AI-enabled analytics and mesh data architecture. This infras tructure unified disparate clinical\, operational\, and environmental data streams into a cohesive platform that supported predictive modeling\, rea diness assessments\, and continuous performance improvement. Artificial in telligence provided real-time insights into patient status\, resource util ization\, and system-level optimization\, representing a transformative st ep toward scalable\, data-driven battlefield medicine. The SOFAM Alaska ex ercise highlights the potential of combining wearable technologies\, AR re mote specialist mentorship\, and AI-enhanced data systems to redefine expe ditionary healthcare delivery. These findings offer critical implications for future joint operations and the evolution of combat medical support. DTSTART:20260304T204500Z DTEND:20260304T214500Z LAST-MODIFIED:20261008T010434Z LOCATION: SEQUENCE:0 STATUS:CONFIRMED SUMMARY:Enhancing Remote Battlefield Medicine through Real-Time Augmented R eality Tele-Mentorship (ARTM) and AI-Driven Data Architecture: Insights fr om the Special Operations Forces Arctic Medic (SOFAM) 2025 TRANSP:OPAQUE X-ALT-DESC;FMTTYPE=text/html:

The Special Operations Forces Arctic Medic (SOFAM) Alaska exercise integrated a proof-of-concept for Augmented Realit y (AR) tele-mentoring of Alaska Army National Guard (AKARNG) National Regi stry Paramedic level medics for surgical\, anesthesia\, and prolonged casu alty care support with military physicians at Brooks Army Medical Center. Paramedic level medics provided for a level of trained medics who on a dis tributed model\, could make an impact on the battlefield. The concept was designed to evaluate the feasibility to enhance medical care delivery in r emote\, austere environments by integrating frontline medics and corpsmen with real-time support via AR from a Level I trauma center. Conducted aboa rd a moving train through Alaska’s Arctic terrain\, the exercise simulated battlefield conditions where initial care was provided by deployed AKARNG medics equipped with advanced AR and biometric monitoring systems. These systems enabled continuous\, bi-directional communication and secure data transmission between the point of injury/care and remote trauma specialist s\, facilitating real-time mentorship and clinical decision-making. Tele-D elegate vital signs were captured via a wearable physiological monitoring device and simulated patient data via a Zoll were both transmitted to the trauma center\, allowing specialists to dynamically guide interventions an d triage decisions. This distributed care model demonstrated the feasibili ty of extending high-level medical expertise into the battlespace without physical co-location\, significantly improving survivability and care qual ity in remote operations. In parallel\, the exercise introduced a digital modernization framework featuring AI-enabled analytics and mesh data archi tecture. This infrastructure unified disparate clinical\, operational\, an d environmental data streams into a cohesive platform that supported predi ctive modeling\, readiness assessments\, and continuous performance improv ement. Artificial intelligence provided real-time insights into patient st atus\, resource utilization\, and system-level optimization\, representing a transformative step toward scalable\, data-driven battlefield medicine. The SOFAM Alaska exercise highlights the potential of combining wearable technologies\, AR remote specialist mentorship\, and AI-enhanced data syst ems to redefine expeditionary healthcare delivery. These findings offer cr itical implications for future joint operations and the evolution of comba t medical support.

BEGIN:VALARM UID:30396666-3562-4037-a430-623131366462 ACTION:DISPLAY DESCRIPTION:The Special Operations Forces Arctic Medic (SOFAM) Alaska exerc ise integrated a proof-of-concept for Augmented Reality (AR) tele-mentorin g of Alaska Army National Guard (AKARNG) National Registry Paramedic level medics for surgical\, anesthesia\, and prolonged casualty care support wi th military physicians at Brooks Army Medical Center. Paramedic level medi cs provided for a level of trained medics who on a distributed model\, cou ld make an impact on the battlefield. The concept was designed to evaluate the feasibility to enhance medical care delivery in remote\, austere envi ronments by integrating frontline medics and corpsmen with real-time suppo rt via AR from a Level I trauma center. Conducted aboard a moving train th rough Alaska’s Arctic terrain\, the exercise simulated battlefield conditi ons where initial care was provided by deployed AKARNG medics equipped wit h advanced AR and biometric monitoring systems. These systems enabled cont inuous\, bi-directional communication and secure data transmission between the point of injury/care and remote trauma specialists\, facilitating rea l-time mentorship and clinical decision-making. Tele-Delegate vital signs were captured via a wearable physiological monitoring device and simulated patient data via a Zoll were both transmitted to the trauma center\, allo wing specialists to dynamically guide interventions and triage decisions. This distributed care model demonstrated the feasibility of extending high -level medical expertise into the battlespace without physical co-location \, significantly improving survivability and care quality in remote operat ions. In parallel\, the exercise introduced a digital modernization framew ork featuring AI-enabled analytics and mesh data architecture. This infras tructure unified disparate clinical\, operational\, and environmental data streams into a cohesive platform that supported predictive modeling\, rea diness assessments\, and continuous performance improvement. Artificial in telligence provided real-time insights into patient status\, resource util ization\, and system-level optimization\, representing a transformative st ep toward scalable\, data-driven battlefield medicine. The SOFAM Alaska ex ercise highlights the potential of combining wearable technologies\, AR re mote specialist mentorship\, and AI-enhanced data systems to redefine expe ditionary healthcare delivery. These findings offer critical implications for future joint operations and the evolution of combat medical support. TRIGGER:-PT15M END:VALARM END:VEVENT END:VCALENDAR