关于共同创建人工智能技术价值评估模型的反思
Anne Wettergren Karlsson1,2, Astrid Janssens2,3,4, Astrid Barkler5
1Department of Public Health, University of Southern Denmark, Odense, Denmark.
Scandinavian journal of public health
|August 24, 2024
概括
患者参与复杂的医疗人工智能研究是可行的和有益的. 与患者共同创建的研究确保了相关性,并提供了新的视角,突出了以患者为中心的人工智能 (AI) 开发的价值.
科学领域:
- 医疗保健创新 医疗保健创新
- 人工智能在医学中的应用
- 患者参与 患者参与
背景情况:
- 在医疗保健中开发人工智能 (AI) 需要基于证据的,以患者为中心的方法.
- 人工智能价值评估模型 (MAS-AI) 是由专家和患者共同创建的.
- 引入复杂的人工智能技术需要强大的评估框架.
研究的目的:
- 在一个复杂的,数据密集的研究项目中分享患者共同创造的经验.
- 为了证明患者参与技术先进的医疗保健研究的可行性.
- 强调以患者为中心的方法在AI开发中的好处.
主要方法:
- 共同创建一个涉及患者和多学科专家的研究项目.
- 通过初始反思,连续日志和半结构面试进行评估.
- 项目前后采访患者和研究人员.
主要成果:
- 克服了对患者纳入的最初怀疑.
- 共创增强了研究的相关性,整体方法和道德辩论.
- 多学科团队和相互反思对于合作和见解至关重要.
结论:
- 复杂的,数据密集的研究项目可以与患者成功地共同创建.
- 患者参与丰富了研究,为研究人员提供了新的视角.
- 持续的相互反思对于最大限度地提高所有利益相关者的学习至关重要.
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