首页|数智融合背景下重症医学科发展的机遇、挑战与对策

数智融合背景下重症医学科发展的机遇、挑战与对策

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近年来,数字化与传统工业化深度融合的理论体系与实践路径逐渐成熟.医学创新和数字化技术顺应时代进程,重症医学科与智慧化的深度融合正打破传统信息化边界,迎来新的发展机遇.利用5G、大数据、人工智能、数字孪生等技术可帮助医护人员了解更为复杂的重症医学问题,提高疾病和症状的诊断及预测能力,制定更精准的治疗策略,甚至转变重症医学的服务模式.本文对数字化技术在重症医学实际场景中的应用和挑战进行归纳,为进一步夯实基础建设、丰富应用场景、加速应用落地、提升应用效果、强化安全合规提供建议与方向.
Critical care medicine under the background of digital intelligence integration:opportunities,challenges,and strategies
Recently,the theoretical system and practical path for the deep integration of digitalization and traditional industrialization have gradually matured.Medical innovation and digital technology are progressing,and the deep integration of intensive care medicine and intelligence is surpassing the traditional informatization and ushering in new development opportunities.Technologies such as 5G,big data,artificial intelligence,and digital twins can help to understand more complex critical care issues,improve the diagnoses and prediction of diseases and symptoms,develop more accurate treatment strategies,and even transform the service model of critical care medicine.This paper summarizes the application and challenge of digital technology in the practical scenarios of critical care medicine,so as to further consolidate infrastructure,enrich application scenarios,accelerate implementation,improve effectiveness,and strengthen the safety and compliance with the regulations.

digital intelligence integrationcritical care medicineartificial intelligencedigital twinbig data

徐天宇、余松轩、侯冷晨、马鸣骁、何萍、沈兵

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上海理工大学健康科学与工程学院,上海 200093

上海申康医院发展中心,上海 200041

上海市第十人民医院,上海 200072

数智融合 重症医学 人工智能 数字孪生 大数据

2025

海军军医大学学报
第二军医大学

海军军医大学学报

北大核心
影响因子:0.741
ISSN:2097-1338
年,卷(期):2025.46(1)