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相关概念视频

Non-equilibrium in the Cell01:16

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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Focusing involves centering a conversation on a message's critical elements or concepts. Focusing is valuable if the talk is vague or patients begin to repeat themselves. Sometimes, when patients are asked about their symptoms, they may go off-topic and try to tell their entire life story. Respectfully, the nurse should bring the conversation back into focus.
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相关实验视频

Updated: Jun 13, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

设计患者友好的信息:教程应用以人为本,自决理论与人工智能考虑.

Ashley C Griffin1,2, Sarah J Javier1,3, Madeleine Golding1

  • 1Center for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, CA, United States.

Journal of medical Internet research
|October 17, 2025
PubMed
概括

这项研究提出了以人为中心的患者信息设计方法,整合自决理论 (SDT) 和患者反,以改善健康行为变化和治疗吸收.

关键词:
这是SDT SDT.人工智能的人工智能是人工智能.健康行为健康行为以人为中心的设计移动健康的移动健康患者参与 患者参与自决理论 自决理论退伍军人 退伍军人 退伍军人 退伍军人

相关实验视频

Last Updated: Jun 13, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

科学领域:

  • 卫生沟通健康沟通
  • 行为科学 行为科学
  • 人与计算机的交互

背景情况:

  • 患者消息技术越来越多地使用人工智能 (AI).
  • 这些工具的有效性取决于理论基础和用户输入.
  • 自决理论 (SDT) 是健康行为变化的框架.

研究的目的:

  • 为患者信息内容概述以人为中心的设计方法.
  • 将消息与SDT结构 (自主性,能力,相关性) 保持一致.
  • 促进慢性疼痛患者的基于证据的治疗方法.

主要方法:

  • 使用SDT和行为改变技术开发消息.
  • 采用快速原型设计和来自患者参与委员会的代反.
  • 通过SDT和以人为中心的AI原则进行综合反.

主要成果:

  • 确定了以患者为中心的信息开发策略.
  • 强调早期参与,多样化的视角和信息定制.
  • 强调了人工智能引导消息传递中人类互动的重要性.

结论:

  • 拟议的方法提高了患者信息内容和治疗吸收率.
  • 建议指导多学科团队创建以患者为中心的健康信息.
  • 早期的患者参与可以减轻人工智能的担忧,改善健康结果.