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Military-Wide Nursing Work Enters a New Stage of Technology Enablement

全军护理工作迈入技术赋能新阶段
PLA Daily (解放军报) 12 May 2026
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The PLA General Hospital's First Medical Center and the Eastern Theater Command General Hospital have deployed AI-assisted nursing systems—including automated blood-collection robots, intelligent patient-monitoring terminals, and unattended care platforms—as part of a military-wide initiative to integrate AI, big data, and IoT into health support operations. The report signals that the PLA is deliberately reorienting its medical logistics (卫勤) infrastructure toward wartime readiness, with explicit plans to develop large nursing-specific AI models and nursing robots validated through combat-realistic simulation training. This is consistent with the PLA's broader push to convert informatization-era investments into intelligentized warfighting support, and the emphasis on 'forging elite health support troops' and extending smart nursing 'toward the front lines' indicates the program is framed as a combat-readiness enabler, not merely a peacetime efficiency measure.

Military-Wide Nursing Work Enters a New Stage of Technology Enablement

PLA Daily report by Li Lin and reporter Sun Xingwei: Early in the morning, in a ward at the First Medical Center of the PLA General Hospital, a nurse pushes a mobile intelligent blood-collection vehicle to draw blood from patients. She scans a QR code, and the device automatically completes steps such as test-tube selection and label printing, making the operation more convenient. This scene is a microcosm of the gradual entry of military-wide nursing work into a new stage of technology enablement.

Building on advances in informatization, the military-wide health system is applying science and technology to enable the military's health support and nursing field, integrating artificial intelligence, big data, the Internet of Things, and other technologies to drive the transformation of nursing work from labor-intensive to intelligently efficient. Today, mobile intelligent blood-collection vehicles and automated blood-collection robots have been piloted on duty; dynamic early-warning systems and unattended care systems (免陪照护体系) have been put into use, driving a shift in the nursing model from "experience-driven" to "data-intelligent," making nursing work higher in quality and more efficient.

In recent years, health support departments at all levels across the military have emphasized human-machine collaboration and intelligent enablement, allowing nursing personnel to devote more energy to patient condition observation, psychological support, and combat casualty care skills training. At present, some medical institutions across the military have actively explored AI-assisted personalized nursing and automatic generation of nursing documentation; many central hospitals and unit-affiliated hospitals have explored the introduction of AI technology to assist nursing personnel in conducting combat rescue training and assessment. Intelligent equipment has been incorporated into combat-realistic simulation training (实战化模拟训练), and the reach of smart nursing is extending toward the front lines of health support.

At the Eastern Theater Command General Hospital, an intelligent terminal has been put into use; nurses using the terminal can rapidly collect patient data such as body temperature, blood pressure, and blood oxygen levels, which are automatically entered into the system and simultaneously generate examination orders. "Technology enablement is an important lever for improving health support capability (卫勤保障力)," said the hospital's leadership.

It is reported that in the next step, the military-wide health system will explore and advance the construction of standardized nursing data collection, the research and training of large nursing models (护理大模型), and the practical training and validation of nursing robots, helping nursing personnel improve their professional skills and efficiently complete tasks, and forging more elite health support troops (卫勤尖兵) in service of preparation for war.

Original Chinese
全军护理工作迈入技术赋能新阶段 解放军报讯 李琳、记者孙兴维报道:清晨,解放军总医院第一医学中心病房内,一名护士推着移动智能采血车为患者采血。只见她扫描二维码,设备便自动完成试管选取、贴标打印等步骤,操作更加便捷。这一场景是全军护理工作逐步迈入技术赋能新阶段的缩影。 全军卫生系统在加强信息化建设基础上,以科技赋能军队卫勤护理领域,融合人工智能、大数据、物联网等技术,推动护理工作从人力密集型向智能效能型转变。如今,移动智能采血车、自动采血机器人试点上岗,动态预警系统、免陪照护体系投入使用,推动护理模式从“经验驱动”转向“数据智能”,护理工作更加高质高效。 近年来,全军各级卫勤部门突出人机协同、智能赋能,让护理人员将更多精力投入病情观察、心理支持和战伤救护技能训练。目前,全军部分医疗机构已在AI技术辅助个性化护理、护理文书自动生成等方面展开积极探索;不少中心医院、队属医院探索引入AI技术,辅助护理人员开展战救训练与考核。智能设备投入实战化模拟训练,智慧护理的触角向卫勤一线延伸。 在东部战区总医院,一款智能终端投入使用,护士使用该终端可快速采集患者体温、血压、血氧等数据,并自动录入系统、同步生成检查单。“技术赋能是卫勤保障力提升的重要抓手。”该医院领导表示。 据悉,下一步,全军卫生系统将探索推进护理标准化数据采集建设、护理大模型研发训练及护理机器人实训验证,助力护理人员提升专业技能、高效完成任务,为服务备战打仗锻造更多卫勤尖兵。