Wired for Readiness

The Role of Wearable Technology and AI in Military Preventative Medicine

By 2LT Kinley DeSpain and Dr. Hanna Jensen

Article published on: February 1, 2026 in the February 2026 e-Edition of Pulse of Army Medicine

Read Time: < 13 mins

Prototype sensor‑integrated camouflage garment displayed on a table alongside a military helmet at a technology demonstration.

Figure 1. A prototype of sensor-integrated combat apparel developed through a collaboration between Aptima, the Air Force Research Laboratory, and the DoD Manufacturing Innovation Institute NextFlex. Designed for hazardous and confined environments, the garment incorporates embedded biometric sensors and connectivity features to enhance real-time physiological monitoring and safety in multi-domain operations.
Photo by Rebecca Ward, U.S. Department of Defense, DVIDS.

Abstract

Wearable technology and AI are emerging as essential tools to advance military preventive care. While current methods rely on periodic assessments and treatment after problems arise, wearables enable continuous health monitoring across training and operations. Combined with AI, these systems can detect early signs of fatigue, dehydration, and body strain, capabilities especially critical during high-tempo missions like multi-day ruck marches or reconnaissance patrols. This proactive approach transforms health monitoring from a passive measure into a strategic asset that preserves performance, supports military decision-making, and protects mission timelines. In line with Army 2030 priorities and the shift toward data-informed decision-making, wearable technology and AI are poised to reshape the landscape of preventive care in operational environments. Their integration supports modernization goals outlined in key frameworks such as the TRADOC Pamphlet 525-3-1, Force Health Protection initiatives, and the Holistic Health and Fitness (H2F) System, which emphasize optimizing Soldier readiness through personalized and anticipatory care. Integrating these tools into military medicine will strengthen force health protection, reduce preventable injuries, and sustain readiness. As the Army prepares for high-tempo, multi-domain operations against near-peer adversaries, maintaining physiological readiness through real-time monitoring is essential to ensuring overmatch.

WEARABLE TECHNOLOGY IN HIGH-PERFORMANCE AND MILITARY SETTINGS

Recent studies highlight the growing use of wearable devices in demanding environments. This adoption reflects a shift toward identifying and mitigating health risks before they escalate. Fitness trackers and biosensors can effectively monitor small changes in heart rhythm (heart rate variability), skin temperature, and exertion, providing real-time insights into body strain (Hinde, White, & Armstrong, 2021). Examples of this technology include the Polar H10 heart rate monitor and the BioStamp sensor platform, which is used for skin temperature and exertion monitoring. Because most of these devices are portable, they can function outside of clinical settings, which would help sustain readiness in austere conditions.

In a potential battalion-level training scenario, soldiers could wear hydration and exertion monitors linked to secure apps. This system could include a Nix Hydration Biosensor patch and a Zephyr BioHarness. If rising skin temperature and declining hydration are detected, the company medic and platoon sergeant would then receive concise alerts, and leaders could then rotate affected soldiers into recovery intervals, preventing heat casualties and maintaining operational tempo without added workload.

ENHANCING PREVENTIVE CARE THROUGH AI AND WEARABLE TECHNOLOGY

AI-powered systems build on basic sensors by analyzing biometric patterns to detect fatigue and stress before they degrade performance. Continuous monitoring of heart rhythm, sleep, and skin conductance can reveal subtle declines in performance. Hinde et al. (2021) showed that tracking these metrics helps signal performance drops early enough to adjust training and prevent injuries. Winslow et al. (2022) found that pairing sensors with AI improved mental health symptoms among service members.

A potential prolonged security mission is another example of how wearable technology may be incorporated. This technology enables a squad leader to receive notifications that a team member, who is supposed to stand watch that night, is trending toward fatigue. Temporarily rotating that soldier out of that watch would help preserve situational awareness and prevent lapses that could compromise the mission. This proactive approach could protect both the individual and the team’s effectiveness.

Wearables also help manage hydration, which directly affects clear thinking and reaction time. Soldiers in hot climates are especially prone to dehydration that undermines readiness. Culver et al. (2019) found hydration sensors provided timely feedback that helped prompt early interventions during field testing. Building on these capabilities, AI can further refine alerts by adapting to each soldier’s baseline. For example, during a multi-day ruck in high heat, wearable sensors could detect electrolyte decline in two soldiers. The platoon sergeant could receive a secure notification and adjust water intake and rest schedules before symptoms escalate. Preventing even one dehydration casualty in a deployed setting can avoid a 48-72 hour operational gap, significant airlift costs, and mission compromise.

LIMITATIONS AND CHALLENGES

Despite these advantages, integrating wearables and AI presents challenges. Privacy remains a primary concern. Sivakumar, Mone, and Abdumukhtor (2024) emphasize the importance of transparent governance and clear communication to build trust. Soldiers must understand how their data will be used and protected. Role-based access, such as appointing a battalion health data manager, ensures commanders receive concise summaries while medics oversee detailed information to limit the amount of information shared and any potential leaks.

Technical limitations also require planning considerations, weather and terrain. Dust, humidity, temperature extremes, and electromagnetic interference could all potentially affect accuracy and reliability. To mitigate these issues, designs should use hardened casings, backup power supplies, and data redundancy protocols to prevent information loss. Pre-deployment testing can help units identify performance gaps and develop contingency plans, such as manual hydration checks if sensors fail.

Person holding a flexible wearable sensor patch with visible electrodes and adhesive backing.

Figure 2. A next-generation wearable patch designed to monitor electrolyte levels in real time, developed through a collaboration between the Air Force Research Laboratory and industry partners under the Nano-Bio
Manufacturing Consortium. The device uses AFRL-engineered sensor materials and microfluidic channels to detect sodium and potassium levels in sweat, transmitting data wirelessly to support performance optimization in heat and high-stress environments.
Courtesy photo by GE Global Research, Air Force Research Laboratory, DVIDS.

While integrating this technology into daily operations equips unit leaders with role-specifics and applicable information, we must try to avoid overloading leaders with data. A way to prevent information overload from occurring is by delegating which individuals will receive notification access. Dashboards can filter alerts to show only issues requiring action while medics can manage the full biometric picture. When those small declines in health are flagged early, leaders can reassign tasks or adjust timelines, maintaining momentum and reducing non-battle injuries.

Soldier using a wrist-mounted device and a ruggedized smartphone app to monitor physiological readiness data.

Figure 3. A U.S. Space Force Guardian synchronizes data from a wearable fitness device during an informational session for the Continuous Fitness Assessment (CFA) study, led by the Air Force Research Laboratory near Wright-Patterson Air Force Base, Ohio. As part of the Space Force’s Holistic Health Approach, the CFA explores replacing traditional fitness tests with continuous physiological monitoring to support long-term readiness and performance.
Photo by Richard A. Eldridge, U.S. Space Force, DVIDS.

Cilliers (2020) notes that adversaries could exploit intercepted health data. Robust encryption, secure transmission channels, and periodic cybersecurity audits should be integrated into any plan. Preparing for these challenges in advance helps ensure that technology supports operations without creating extra workload or risk.

IMPLEMENTATION PATHWAYS

To build confidence and validate performance of this system, the Army should pursue phased, low-barrier integration approaches. Collaboration with Brigade Medical Officers can establish protocols aligned with existing Force Health Protection measures and ensure data workflows complement the current readiness reporting. Field testing through Holistic Health and Fitness teams will help assess usefulness during training and measure how early interventions affect readiness and injury prevention.

Integrating this technology into demanding environments, and possibly pre-deployment training, would provide insights into device durability, user acceptance, and data reliability. Pilot programs in these operational environments, including Ranger School, Special Forces Assessment, and other Selection courses, would provide insights into device durability, user acceptance, and data reliability. Programs should collect feedback from leaders and soldiers to refine dashboards, access controls, and alert thresholds. They could track reductions in heat-related incidents, monitor changes in medical evacuation rates, or quantify improvements in unit readiness scores over a six-month period.

While initial investments in devices, training, and cybersecurity infrastructure will be necessary, long-term cost avoidance from fewer medical evacuations, decreased injury-related downtime, and sustained readiness could potentially offset implementation expenses. Validating these systems in realistic settings will demonstrate how early detection reduces non-battle injuries and preserves mission effectiveness.

Leader and Soldier confidence in its wearable technology use is as critical as the device’s system performance. Therefore, adoption success will depend on how well units trust the technology, perceive value in the alerts, and understand how their data is collected and protected. Including noncommissioned officer input in dashboard design and alert thresholds and gathering feedback from small-unit leaders during pilot programs can help ensure the system supports tactical decision-making. Early, clear evidence of improved readiness and user buy-in can accelerate adoption across the force.

DIRECTION FOR THE FUTURE

Wearable technology and AI-driven analytics offer the Army an opportunity to modernize preventive care. Shifting from reactive treatment to continuous and personalized monitoring gives leaders a clear picture of force readiness, enabling early intervention. Timely detection preserves combat power, reduces preventable injuries, and prevents mission delays. Future efforts should refine device durability, expand field testing, and establish secure frameworks for data use. Piloting these systems in Brigade Combat Teams, pre-deployment rotations, or environments like Ranger School will help validate performance and build trust in the equipment. Ultimately, integrating wearable technology and AI into preventive care is not just a modernization effort; this is an investment in a healthier, more resilient force ready to meet the demands of future conflict.

Soldiers in camouflage gear conducting a live‑fire training exercise while positioned on the ground with mounted weapons.

Figure 4. Rangers from the 2nd Ranger Battalion conduct a platoon live-fire exercise at Joint Base Lewis-McChord, Washington (June 6–10, 2025).
Photo by Spc. Samuel Dreher, U.S. Army, DVIDS.

REFERENCES

Cilliers, L. (2020). Wearable devices in healthcare: Privacy and information security issues. Health Information Management Journal, 49(2–3), 150–156. https://doi.org/10.1177/1833358319851684

Culver, D. J., Colon, A. B., Washington, D. R., Appleton, M. G., Strang, A., Alizadeh, A., Burns, A., Poliks, M., & Tossell, C. C. (2019). Field test of wearable sensors for hydration monitoring. In 2019 Systems and Information Engineering Design Symposium (SIEDS) (pp. 1–4). IEEE. https://doi. org/10.1109/SIEDS.2019.8735637

Hinde, K., White, G., & Armstrong, N. (2021). Wearable devices suitable for monitoring twenty-four hour heart rate variability in military populations. Sensors, 21(4), 1061. https://doi.org/10.3390/s21041061

Sivakumar, C. L. V., Mone, V., & Abdumukhtor, R. (2024). Addressing privacy concerns with wearable health monitoring technology. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 14(3), e1535. https://doi.org/10.1002/ widm.1535

Taylor, N., Carroll, A., & Gifford, R. M. (2025). Five-day evaluation of the acceptability and comfort of wearable technology at four anatomical locations during military training. BMJ Military Health, 171(3), 245–249. https://doi.org/10.1136/bmjmilitary-2023-002245

Winslow, B. D., Kwasinski, R., Hullfish, J., Ruble, M., Lynch, A., Rogers, T., Nofziger, D., Brim, W., & Woodworth, C. (2022). Automated stress detection using mobile application and wearable sensors improves symptoms of mental health disorders in military personnel. Frontiers in Digital Health, 4, 919626. https://doi.org/10.3389/fdgth.2022.919626

Authors

Kinley DeSpain, 2LT, U.S. Army is a second-year medical student at the University of Arkansas for Medical Sciences and a commissioned officer in the U.S. Army through the Health Professions Scholarship Program (HPSP). She is also pursuing a Master of Public Health with a concentration in Climate, Rural, and Global Public Health.

Dr. Hanna Jensen, MD, PhD received her medical training and doctorate in her native Finland, and her general surgical training in Finland and Denmark. At the University of Arkansas for Medical Sciences, Dr. Jensen teaches the Cardiovascular Module for the College of Medicine and serves as the clinical research coordinator for the departments of Surgery and Radiology as well as the UAMS Northwest Regional Campus. Her research includes a DOD-funded project developing a hemorrhage-sensor for battlefield use.