AI
Advancing Blood Production and Distribution: Leveraging AI in the Expeditionary Care Environment
BLUF – A Joint Force Quarterly article examines how artificial intelligence could improve military blood production and distribution through predictive demand forecasting, optimized transportation routes, real-time inventory tracking and targeted donor recruitment, particularly for low-titer type O whole blood, which has a 35-day shelf life. For Navy Medicine, integrating AI with blood logistics, unmanned delivery systems and inventory management could reduce shortages and waste while improving access to lifesaving transfusions during distributed maritime operations and large-scale combat, although human oversight remains essential in contested environments.
How Can Artificial Intelligence on the Battlefield Shape Moral Injury?
BLUF – Uniformed Services University researchers are examining how artificial intelligence in battlefield decision-making may contribute to moral injury, with Air Force 2nd Lt. Raymond Gilmore studying how excessive trust in AI recommendations, distrust of algorithms and uncertainty about human responsibility can produce guilt, shame and psychological distress following combat decisions. For Navy Medicine, this emerging research highlights the need to prepare behavioral health providers to recognize and treat moral injuries associated with AI-assisted warfare, including the psychological effects of remote operations, ambiguous accountability and lethal decisions influenced by autonomous systems.
https://news.usuhs.edu/2026/10/how-can-artificial-intelligence-on.html
DHA CDAO Jesus Caban on scaling AI across military health
BLUF – Dr. Jesus Caban, Chief Data & Analytics Officer for the Defense Health Agency, discussed the agency’s commitment to data modernization. He highlighted the release of the DHA data strategy, which serves as a roadmap to provide trusted data to combatant commands, enhancing warfighter readiness and decision advantage. Furthermore, Dr. Caban outlined the DHA’s transition toward becoming an AI-first organization. Key initiatives include the responsible use of AI across hospital administration and patient care, specifically noting the expansion of ambient listening technology to over 40,000 military health system providers.
3 Tips on How to Use (and Not Use) AI When Writing Your Resume
BLUF – The Military Officers Association of America recommends using AI to refine rather than write résumés, strengthen accomplishment statements using the STAR method, and tailor applications to specific job descriptions while retaining personal authenticity and human review. For Navy Medicine personnel transitioning to civilian healthcare careers, these techniques can help translate military leadership, clinical experience and operational accomplishments into measurable achievements that resonate with civilian employers.
The Next Step: Embed AI in the Military Health System
BLUF – A U.S. Naval Institute Proceedings article argues that the Military Health System should move beyond isolated AI pilots by establishing small, permanent clinical AI teams at military treatment facilities to deploy, validate and monitor tools that could accelerate diagnosis, reduce administrative burden and improve care from garrison clinics to austere environments. For Navy Medicine, the author proposes protected informatics and data-science billets, a DHA–Naval Postgraduate School clinical AI partnership and standardized AI governance, leveraging MHS GENESIS and military-specific clinical data to turn AI into a durable operational capability that improves readiness and supports prolonged and distributed care.
How the Defense Health Agency Is Building the Data Foundation for an AI-First Organization
BLUF – Defense Health Agency Chief Data and Analytics Officer Jesus Caban described DHA’s strategy to become an “AI-first” organization by first establishing trusted, interoperable data governance across more than 100 systems, leveraging the War Data Platform to securely share information, and expanding AI applications such as ambient clinical documentation, readiness prediction, mental health models, and medical logistics while investing heavily in workforce AI literacy. For Navy Medicine, the discussion underscores that the future of military healthcare AI depends not only on deploying advanced tools but also on building high-quality, secure data infrastructure and an AI-literate workforce capable of improving clinical care, operational decision-making, and warfighter readiness across the Military Health System.
Leveraging technology to support all warfighters through ambient listening
BLUF – The Defense Health Agency has expanded AI-powered ambient listening technology across military hospitals and clinics worldwide, allowing providers—with patient consent—to automatically generate clinical notes from appointments, reducing documentation time while improving patient engagement and integrating records directly into MHS GENESIS. For Navy Medicine, the enterprise rollout supports both clinical readiness and operational readiness by reducing administrative burden, increasing provider efficiency, enhancing continuity of care across the joint force and into the VA, and accelerating the Military Health System’s adoption of AI-enabled healthcare technologies.
https://dha.mil/News/2026/07/06/13/20/Ambient-listening-to-support-warfighters