中国肺癌杂志2025，Vol.28Issue(3)：176-182,7.DOI:10.3779/j.issn.1009-3419.2025.102.11
AI赋能的专病管理平台在肺癌患者术后康复中的应用研究
Application Practice of AI Empowering Post-discharge Specialized Disease Management in Postoperative Rehabilitation of the Lung Cancer Patients Undergoing Surgery
摘要
Abstract
Background and objective Lung cancer is the leading malignancy in China in terms of both incidence and mortality.With increased health awareness and the widespread use of low-dose computed tomography(CT),early diagno-sis rates have been steadily improving.Surgical intervention remains the primary treatment option for early-stage lung cancer,and video-assisted thoracoscopic surgery(VATS)has become a common approach due to its minimal invasiveness and rapid recovery.However,post-discharge recovery remains incomplete,underscoring the importance of postoperative care.Tradition-al follow-up methods,lack standardization,consume significant medical resources,and increase the burden of the patients.Ar-tificial intelligence(AI)-driven disease management platforms offer a novel solution to optimize postoperative follow-up.This study followed 463 lung cancer surgery patients using an AI-based platform,aiming to identify common postoperative issues,propose solutions,improve quality of life,reduce recurrence-related costs,and promote AI integration in healthcare.Methods Using the AI disease management platform,this study integrated educational videos,collaboration between healthcare teams and AI assistants,daily health logs,health assessment forms,and personalized interventions to monitor postoperative recovery.The postoperative rehabilitation status of the patients was assessed by the Leicester Cough Questionnaire(LCQ-MC).Two independent t-test and one-way ANOVA were used to analyze the causes of postoperative cough in lung cancer.Results Most issues occurred within 7 d post-discharge,significantly declined on 14 d post-discharge.Factors such as gender,smoking his-tory,and surgical approaches were found to influence cough recovery.The incidence of cough on 7 d post-discharge in females was higher than that in males(P<0.01),while the incidence of cough on 14 d post-discharge in elderly patients was lower than that in young patients(P=0.03).The AI-based platform effectively addressed cough,pain,and sleep disturbances through phased interventions.Conclusion The AI-based platform significantly enhanced postoperative management efficiency and the self-care capabilities of the patients,particularly in phased cough management.Future integration with wearable devices could enable more precise and personalized postoperative care,further advancing the application of AI technology across multidisci-plinary healthcare domains.关键词
肺肿瘤/术后管理/人工智能/专病管理/咳嗽/生活质量Key words
Lung neoplasms/Postoperative management/Artificial intelligence/Disease-specific management/Cough/Quality of life引用本文复制引用
李梅,李昕,董明,陈军,张洪兵,夏春秋,张雨琪,纪慧慧,石怡,段丽然,郭玲玉,刘京豪..AI赋能的专病管理平台在肺癌患者术后康复中的应用研究[J].中国肺癌杂志,2025,28(3):176-182,7.基金项目
本研究受天津市医学重点学科(特色)建设项目(No.TJYXZDXK-061B)、天津市自然基金重点项目(No.23JCZDJC00710)和天津市卫生科技项目(No.TJWJ2022XK005)资助 This study was supported by the grants from Tianjin Key Medical Discipline(Specialty)Construction Project(No.TJYXZDXK-061B),Natural Science Foundation of Tianjin(No.23JCZDJC00710)and Tianjin Health Science and Technol-ogy Project(No.TJWJ2022XK005)(All to Jun CHEN). （特色）
