摘要：
医疗服务智能化与老龄化叠加下，方言沟通障碍成护患矛盾重要诱因——我国60岁以上老年群体43%存在普通话困难，基层医疗因语言误解的投诉超35%。方言机器人已在多省市基层落地，覆盖问诊引导、医嘱转化等场景，可降低语言障碍引发的冲突，但仍面临方言覆盖不全、术语转化不统一、责任界定模糊等问题。本文结合相关法规，梳理应用现状、识别核心痛点，构建“技术迭代-管理协同-法律兜底”三维框架，提出模型分区训练、术语标准库建设等路径，为提升医疗语言适配性、构建和谐护患关系提供支撑。
关键词：科学与艺术；创新人才；学科交叉；科学素养
Abstract:
With the overlap of intelligent medical services and aging society, dialect communication barriers have become a key factor inducing nurse-patient conflicts—43% of elderly people over 60 in China have Mandarin difficulties, and complaints caused by language misunderstandings in primary medical care account for over 35%. Dialect robots have been applied in primary medical institutions in many provinces and cities, covering scenarios such as consultation guidance and medical advice conversion, which can reduce conflicts caused by language barriers. However, they still face problems like incomplete dialect coverage, inconsistent term conversion, and vague responsibility definition. Combined with relevant regulations, this paper sorts out the application status, identifies core pain points, constructs a three-dimensional framework of "technical iteration-management coordination-legal guarantee", and proposes paths such as regional model training and term standard database construction, providing support for improving medical language adaptability and building a harmonious nurse-patient relationship.
Keywords: Dialect robot; Nurse-patient conflicts; Language barriers; Medical intelligent interaction; Conflict eesolution; Primary medical care
--
