MyFoodRx:开发基于人工智能的个性化食品作为药物的智能手机应用程序的形成性研究
Rita D DeBate1, John Michael Templeton2, Jay Hiteshkumar Jariwala2
1College of Public Health, University of South Florida, Tampa, FL, USA (RD, JB).
American journal of lifestyle medicine
|January 20, 2026
概括
个性化的食品药物应用程序可以改善食物不安全的个体的健康结果. 用户对定制教育,动机和技能的需求是开发MyFoodRx.x.等有效数字健康工具的关键.
科学领域:
- 公共卫生 公共卫生
- 数字健康数字健康
- 营养科学 营养科学
背景情况:
- 粮食不安全是一个主要的公共卫生问题,与饮食不良和慢性疾病有关.
- 食品作为药物计划将营养整合到医疗保健中,但往往缺乏个性化.
- 开发个性化的数字干预措施对于有效的食品药物战略至关重要.
研究的目的:
- 探索用户对个性化,人工智能驱动的食品作为药物智能手机应用程序 (MyFoodRx) 的需求和偏好.
- 通过了解信息,动机和行为技能要求,为MyFoodRx的开发提供信息.
- 引导创建可扩展,公平和以患者为中心的数字食品作为药物的干预措施.
主要方法:
- 形成性研究研究采用半结构面试与16名参与者在食品药房计划.
- 用专题分析来确定用户的需求,偏好和上下文因素.
- 信息-动机-行为技能 (IMB) 模型指导了研究框架.
主要成果:
- 参与者需要根据健康状况和资源量身定制的教育,食谱和饮食计划.
- 关键的激励因素包括健康改善,目标追踪和减少食物浪费.
- 确定的行为技能差距包括部分控制,食品准备和杂货计划.
结论:
- 基于个人健康,家族病史,药物和厨房资源的个性化是必不可少的.
- 适应性,实时个性化功能可以提高数字食品作为药物应用程序的可用性和相关性.
- 这些发现支持MyFoodRx的发展,作为针对粮食不安全的以患者为中心的数字干预.
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