Liang Fengchao, Yang Xueli, Peng Wen, Zhen Shihan, Cao Wenzhe, Li Qian, Xiao Zhiyi, Gong Mengchun, Wang Youfa, Gu Dongfeng
School of Public Health and Emergency Management, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen 518055, People's Republic of China.
Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, 22 Qixiangtai Rd, Tianjin 300070, People's Republic of China.
Lancet Reg Health West Pac. 2023 Dec 1;43:100817. doi: 10.1016/j.lanwpc.2023.100817. eCollection 2024 Feb.
Cardiometabolic diseases (CMDs) are the major types of non-communicable diseases, contributing to huge disease burdens in the Western Pacific region (WPR). The use of digital health (dHealth) technologies, such as wearable gadgets, mobile apps, and artificial intelligence (AI), facilitates interventions for CMDs prevention and treatment. Currently, most studies on dHealth and CMDs in WPR were conducted in a few high- and middle-income countries like Australia, China, Japan, the Republic of Korea, and New Zealand. Evidence indicated that dHealth services promoted early prevention by behavior interventions, and AI-based innovation brought automated diagnosis and clinical decision-support. dHealth brought facilitators for the doctor-patient interplay in the effectiveness, experience, and communication skills during healthcare services, with rapidly development during the pandemic of coronavirus disease 2019. In the future, the improvement of dHealth services in WPR needs to gain more policy support, enhance technology innovation and privacy protection, and perform cost-effectiveness research.
心血管代谢疾病（CMDs）是非传染性疾病的主要类型，给西太平洋地区（WPR）带来了巨大的疾病负担。数字健康（dHealth）技术的应用，如可穿戴设备、移动应用程序和人工智能（AI），有助于心血管代谢疾病的预防和治疗干预。目前，西太平洋地区关于数字健康与心血管代谢疾病的大多数研究是在澳大利亚、中国、日本、韩国和新西兰等少数高收入和中等收入国家进行的。有证据表明，数字健康服务通过行为干预促进早期预防，基于人工智能的创新带来了自动化诊断和临床决策支持。在2019年冠状病毒病大流行期间迅速发展的数字健康，为医疗服务过程中的医患互动在有效性、体验和沟通技巧方面带来了便利。未来，西太平洋地区数字健康服务的改善需要获得更多政策支持，加强技术创新和隐私保护，并开展成本效益研究。
