健康画像在慢性病管理中的应用研究进展

Research progress on the application of health portrait in the management of chronic diseases

慢性病病程长,流行广,发病和致残、致死率高,防治形势复杂,疾病负担沉重,慢性病管理已上升到国家战略。近年来,基于人工智能和大数据的健康画像技术被逐渐应用于医药卫生领域,成为移动健康管理领域进一步发展的关键问题。文章通过对健康画像技术概念、种类、刻画步骤及其在慢性病精准化风险预测、智能化健康教育、信息化用药管理和数字化诊疗服务等方面的应用研究进展进行综述,为慢性病健康管理实践提供新思路和理论依据。

Chronic disease is characterized by extended disease course,wide prevalence,and high incidence of disability and mortality,with heavy disease burdens and complex situations of prevention and treatment.The management strategy of chronic diseases has risen to the national level.Based on artificial intelligence and mega data,health portrait technology has been gradually applied to various healthcare fields in recent years,becoming a vital issue for further development in mobile health management.The current study summarized the concepts,types,carving procedures,and application progress of health portrait technology in accurate disease risk prediction,intelligent health education,information-based medication management,and digital medical consultation services for chronic diseases.This study aims to provide new ideas and theoretical bases for the practice of chronic disease health management.