BEGIN:VCALENDAR VERSION:2.0 PRODID:-//swoogo.com//NONSGML kigkonsult.se iCalcreator 2.41.90// CALSCALE:GREGORIAN UID:61623638-6135-4039-a466-663238353864 BEGIN:VEVENT UID:3c51d2b64538739c4a3e9a9eebfc667f7627f7b8@swoogo.com DTSTAMP:20261008T004755Z DESCRIPTION:Topic 1: Recent operations conducted in an era of air and naval superiority facilitated the expeditious evacuation of casualties\, to inc lude those with battle injuries and disease\, non-battle injuries (DNBI)\, to a higher echelon of care. As the U.S. Air Force confronts near-peer th reats and potential large-scale combat operations (LSCO) without air or na val superiority\, medical capabilities will have a direct impact on the li ne military commander’s ability to accomplish military objectives. While n ear-peer LSCO casualty estimates may potentially rival those of World War II\, DNBI accounts for a greater proportion of military casualties and los t duty days than battle injuries (BI) and must be prioritized in current a nd future military medical planning. DNBI\, when treated appropriately to minimize the individual risk\, facilitates the generation and regeneration of service members\, crucial for maintaining military readiness in theate r. The preservation of the military force relies heavily on the collaborat ive efforts of military providers to include mental health\, physical ther apy\, and primary care providers. This panel will discuss current Air Forc e Medical Service efforts to generate and re-generate the force. Topic 2: This presentation explores the application of Department of the Air Force (DAF) Data and Artificial Intelligence (AI) Strategies within the Air Forc e Medical Service (AFMS) to improve patient care and enhance readiness. Pa rticipants will gain an understanding of the core principles of the DAF Da ta Strategy (VAULTIS) and the mission-focused pillars of the DAF AI Strate gy\, translated into the context of military healthcare. The discussion wi ll cover how Data Management Plans (DMPs)\, the Data Management Decision S upport System (DMDSS)\, and the Data Mesh Environment (DME) support data r eadiness for AI and innovation\, enabling medical professionals to access and utilize data more effectively. The presentation will describe key stak eholder roles in implementing data and AI strategies within the AFMS\, emp hasizing the importance of collaboration and data literacy. Finally\, it w ill address the challenges of data utilization within the AFMS and highlig ht the opportunities to leverage AI for improved diagnostics\, personalize d treatment\, optimized resource allocation\, and enhanced population heal th outcomes\, driving data-driven innovation in military medicine. The cal l to action is for AMSUS members to actively participate in data governanc e\, advocate for data literacy\, and champion data-driven decision-making. DTSTART:20260304T193000Z DTEND:20260304T203000Z LAST-MODIFIED:20261008T004755Z LOCATION: SEQUENCE:0 STATUS:CONFIRMED SUMMARY:Air Force Medical Service: Force Generation and Re-generation and T ransforming Military Healthcare: Data and AI for Enhanced Readiness TRANSP:OPAQUE X-ALT-DESC;FMTTYPE=text/html:

Topic 1: Recent operations conducted in an era of air and naval superiority facilitated the expeditious evacuation of casualties\, to include those with battle injuries and disease\, non-batt le injuries (DNBI)\, to a higher echelon of care. As the U.S. Air Force co nfronts near-peer threats and potential large-scale combat operations (LSC O) without air or naval superiority\, medical capabilities will have a dir ect impact on the line military commander’s ability to accomplish military objectives. While near-peer LSCO casualty estimates may potentially rival those of World War II\, DNBI accounts for a greater proportion of militar y casualties and lost duty days than battle injuries (BI) and must be prio ritized in current and future military medical planning. DNBI\, when treat ed appropriately to minimize the individual risk\, facilitates the generat ion and regeneration of service members\, crucial for maintaining military readiness in theater. The preservation of the military force relies heavi ly on the collaborative efforts of military providers to include mental he alth\, physical therapy\, and primary care providers. This panel will disc uss current Air Force Medical Service efforts to generate and re-generate the force. Topic 2: This presentation explores the application of Departme nt of the Air Force (DAF) Data and Artificial Intelligence (AI) Strategies within the Air Force Medical Service (AFMS) to improve patient care and e nhance readiness. Participants will gain an understanding of the core prin ciples of the DAF Data Strategy (VAULTIS) and the mission-focused pillars of the DAF AI Strategy\, translated into the context of military healthcar e. The discussion will cover how Data Management Plans (DMPs)\, the Data M anagement Decision Support System (DMDSS)\, and the Data Mesh Environment (DME) support data readiness for AI and innovation\, enabling medical prof essionals to access and utilize data more effectively. The presentation wi ll describe key stakeholder roles in implementing data and AI strategies w ithin the AFMS\, emphasizing the importance of collaboration and data lite racy. Finally\, it will address the challenges of data utilization within the AFMS and highlight the opportunities to leverage AI for improved diagn ostics\, personalized treatment\, optimized resource allocation\, and enha nced population health outcomes\, driving data-driven innovation in milita ry medicine. The call to action is for AMSUS members to actively participa te in data governance\, advocate for data literacy\, and champion data-dri ven decision-making.

BEGIN:VALARM UID:32653330-6461-4564-a265-383132393033 ACTION:DISPLAY DESCRIPTION:Topic 1: Recent operations conducted in an era of air and naval superiority facilitated the expeditious evacuation of casualties\, to inc lude those with battle injuries and disease\, non-battle injuries (DNBI)\, to a higher echelon of care. As the U.S. Air Force confronts near-peer th reats and potential large-scale combat operations (LSCO) without air or na val superiority\, medical capabilities will have a direct impact on the li ne military commander’s ability to accomplish military objectives. While n ear-peer LSCO casualty estimates may potentially rival those of World War II\, DNBI accounts for a greater proportion of military casualties and los t duty days than battle injuries (BI) and must be prioritized in current a nd future military medical planning. DNBI\, when treated appropriately to minimize the individual risk\, facilitates the generation and regeneration of service members\, crucial for maintaining military readiness in theate r. The preservation of the military force relies heavily on the collaborat ive efforts of military providers to include mental health\, physical ther apy\, and primary care providers. This panel will discuss current Air Forc e Medical Service efforts to generate and re-generate the force. Topic 2: This presentation explores the application of Department of the Air Force (DAF) Data and Artificial Intelligence (AI) Strategies within the Air Forc e Medical Service (AFMS) to improve patient care and enhance readiness. Pa rticipants will gain an understanding of the core principles of the DAF Da ta Strategy (VAULTIS) and the mission-focused pillars of the DAF AI Strate gy\, translated into the context of military healthcare. The discussion wi ll cover how Data Management Plans (DMPs)\, the Data Management Decision S upport System (DMDSS)\, and the Data Mesh Environment (DME) support data r eadiness for AI and innovation\, enabling medical professionals to access and utilize data more effectively. The presentation will describe key stak eholder roles in implementing data and AI strategies within the AFMS\, emp hasizing the importance of collaboration and data literacy. Finally\, it w ill address the challenges of data utilization within the AFMS and highlig ht the opportunities to leverage AI for improved diagnostics\, personalize d treatment\, optimized resource allocation\, and enhanced population heal th outcomes\, driving data-driven innovation in military medicine. The cal l to action is for AMSUS members to actively participate in data governanc e\, advocate for data literacy\, and champion data-driven decision-making. TRIGGER:-PT15M END:VALARM END:VEVENT END:VCALENDAR