摘要
我国的心理健康工作在政府的引导下蓬勃发展。对民众心理健康状况进行科学、准确的评估以及提供及时、有效的心理健康干预和治疗服务的需求非常急迫。然而,传统的心理健康评估和干预方法在准确性、及时性和有效性等方面都存在局限。近年来,人工智能和大数据技术飞速发展,推动着心理健康服务走向智能化的应用,能够从更加生态化、更加便利化的角度评估和干预心理健康状况,有效弥补传统方法的不足。本文针对心理健康的初筛和诊断两个评估过程以及干预和治疗过程,论述传统手段存在的问题以及智能化应用能够提供什么样的解决方案,并就其落地应用中的问题和未来发展趋势进行述评。
The mental health in China is booming under the guidance of the government.There is an urgent need for scientific and accurate assessment of the population’s mental health status and for the provision of timely and effective mental health interventions and treatment services.However, traditional mental health assessment and intervention methods have limitations in its accuracy, timeliness and effectiveness.In recent years, the rapid development of artificial intelligence and big data technology has promoted the intelligentization of mental health services.This intelligentization process can ensure the evaluation and intervention in mental health conditions from a more ecological and convenient perspective, effectively making up for the limitations of traditional methods.In this paper, problems existing in traditional methods and the solutions provided by intelligent application will be discussed for the initial screening and diagnosis of mental health as well as the intervention and treatment processes.The problems and development trend in practical application during these processes will be reviewed as well.
作者
任萍
汪悦
刘冬予
李添
骆方
REN Ping;WANG Yue;LIU Dongyu;LI Tian;LUO Fang(Collaborative Innovation Center of Assessment for Basic Education Quality,BNU,Beijing 100875;Faculty of Psychology,BNU,Beijing 100875,China)
出处
《北京师范大学学报(社会科学版)》
CSSCI
北大核心
2022年第4期150-160,共11页
Journal of Beijing Normal University(Social Sciences)
基金
国家自然科学基金联合基金重点支持项目“基于‘天河二号’超级计算机的教育系统化监控评估、智能决策仿真与应用研究”(U1911201)
教育部基础教育质量监测中心自主课题“心理健康测评工具的临床标准制定及发生率对比研究”(2021-01-111-BZK01)。
关键词
人工智能
大数据
心理健康评估
心理健康干预
artificial intelligence
big data
mental health assessment
mental health intervention