Dong Chaoqun, Ji Yan, Fu Zhongmin, Qi Yi, Yi Ting, Yang Yang, Sun Yumei, Sun Hongyu
School of Nursing, Wenzhou Medical University, Wenzhou, China.
School of Nursing, Nanjing Medical University, Nanjing, China.
iScience. 2025 Feb 17;28(3):112044. doi: 10.1016/j.isci.2025.112044. eCollection 2025 Mar 21.
Precision management of chronic diseases is crucial for improving patient quality of life and alleviating global health burdens. Advancements at the intersection of medicine and engineering, particularly through artificial intelligence (AI), have driven significant progress in precision care. From the perspective of the full life span management of chronic diseases, we focus on medicine-engineering crossover for monitoring chronic diseases, developing and implementing precision care plans, and evaluating care outcomes. Through an in-depth discussion, we address key issues such as AI's potential to enable precision care and the challenges associated with its implementation, including data accuracy, privacy concerns, and clinical adoption. Emphasizing the importance of nurses embracing new technologies and interdisciplinary collaboration, this paper highlights how technological innovation can improve chronic disease management, particularly by enhancing care efficiency and personalizing health interventions. We aim to support the development of integrated healthcare solutions that improve patient outcomes in chronic disease management.
慢性病的精准管理对于提高患者生活质量和减轻全球健康负担至关重要。医学与工程学交叉领域的进展,特别是通过人工智能(AI),推动了精准医疗的重大进步。从慢性病全生命周期管理的角度来看,我们专注于医学与工程学的交叉,以监测慢性病、制定和实施精准护理计划以及评估护理结果。通过深入讨论,我们探讨了诸如人工智能实现精准医疗的潜力以及实施过程中相关的挑战等关键问题,包括数据准确性、隐私问题和临床应用。本文强调护士接受新技术和跨学科合作的重要性,突出了技术创新如何改善慢性病管理,特别是通过提高护理效率和个性化健康干预措施。我们旨在支持综合医疗解决方案的开发,以改善慢性病管理中的患者结局。