China is a country with a high burden of tuberculosis(TB).Although TB patients are provided with free treatment and poor patients are even offered transportation subsidy and other policy support,there are still many challenges in the actual TB diagnosis and treatment process.Digital technologies,when applied in the medical field,offer new approaches to intelligent trans-formation in sharing information,optimizing resource allocation,as well as providing services.By adopting the systematic framework of"clinical consultation,diagnosis,treatment,and post-treatment monitoring",this study identifies the problems in the process of digital technologies enabling TB diagnosis and treatment such as data silos,ethical misconducts in intelligent health care,immature technical conditions,and lack of innovation in application scenarios.It also discusses every target of the systematic framework that can be impacted by artificial intelligence,cloud serving,blockchain,and other digital technologies.Standardized policies and training are proposed to solve problems in TB data use and data privacy protection,take full advantage of the whole process of TB diagnosis and treatment,boost capacities for innovating key technologies,and improve the accuracy of diagnosis and treatment tech-nologies and methods.Ultimately,it is aimed at comprehensively and systematically improving the effectiveness of TB prevention and treatment and helping realize the goal of"ending TB".
关键词
健康管理/诊疗路径/数字技术/人工智能/结核病
Key words
Health Management/Diagnosis and Treatment Path/Digital Technology/Artificial Intelligence/Tuberculosis
维普
万方数据