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物理治疗师对大型语言模型驱动的知识翻译工具的看法,用于遵守指南:定性焦点小组研究

Diane Rosen^1,2, Dorian Zwanzig³, Barbara Vogel⁴

¹Department of Health and Education, Alice Salomon University of Applied Sciences Berlin, Berlin, Germany.

Physiotherapy theory and practice

|January 7, 2026

概括

一个新的大型语言模型 (LLM) 工具显示了改善物理治疗师遵守临床指南的承诺. 用户体验是积极的,突出了加强患者护理和知识转化在物理治疗中的潜力.

科学领域:

数字健康数字健康
知识翻译翻译
物理疗法物理治疗

背景情况:

临床实践指南对于基于证据的医疗保健至关重要.
物理治疗师遵守指导方针是不一致的.
使用大型语言模型 (LLM) 开发了一种原型数字知识翻译工具,以解决这一差距.

研究的目的:

探索德国物理治疗师的经验,用一个LLM-powered工具.
评估其临床实践利用的观点.
比较门诊和住院患者之间的看法.

主要方法:

在住院和门诊机构进行的六个焦点小组采访.
用用于数据分析的感应和演编码进行定性内容分析.
20名物理治疗师参加了这次活动.

主要成果:

报告的总体积极经验,对响应时间提出批评.
工具的使用取决于时间的可用性和工作场所的数字化.
治疗师看到了临床问题辅助的潜力;住院治疗师倾向于个人知识增强,而门诊治疗师预计患者教育使用.

结论:

基于LLM的工具可能会提高物理治疗师遵守指南的程度.
成功实施需要评估数字基础设施,临床相关性和用户数字素养.
需要对LLM摘要质量,可用性和伦理考虑进行进一步的研究.

关键词:

物理治疗是一种物理治疗.临床实践指南临床实践指南实施战略实施战略.知识翻译工具知识翻译工具大型语言模型

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