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评估用于2型糖尿病管理的人工智能处方咨询工具的实用性,影响和采用挑战:定性研究
Sungwon Yoon1,2, Hendra Goh1, Phong Ching Lee3
1Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.
JMIR human factors
|June 13, 2024
概括
人工智能 (AI) 工具在治疗2型糖尿病 (T2DM) 方面表现有前途. 然而,临床医生对可解释性,过度依赖和责任表示担忧,这阻碍了人工智能支持的临床决策支持系统 (CDSS) 的广泛采用.
科学领域:
- 人工智能在医学中的应用
- 临床决策支持系统 临床决策支持系统
- 糖尿病管理 糖尿病管理
背景情况:
- 2型糖尿病 (T2DM) 管理是复杂的,因为不断发展的指导方针和众多的药物选择.
- 支持人工智能的临床决策支持系统 (CDSS) 可以帮助临床医生做出明智的决策.
- 在T2DM护理中早期实施和采用人工智能支持的CDSS方面存在研究缺口.
研究的目的:
- 探索临床医生对人工智能支持的处方咨询 (APA) 工具的实用性和影响的观点.
- 确定与在专业内分泌诊所采用和应用APA工具相关的挑战.
主要方法:
- 与内分泌学家进行了焦点小组讨论,使用半结构面试指南.
- 讨论被录音,文字转录,并根据主题进行分析.
- 13名临床医生参加了4个焦点小组讨论.
主要成果:
- 临床医生发现APA工具对T2DM管理有用,特别是对伴随疾病患者的AI产生的药物改变.
- 预测并发症风险通过促进早期沟通和及时的临床反应,对患者的护理产生了积极的影响.
- 采用障碍包括对风险评分解释性,自动化偏见,问责制和责任的担忧.
结论:
- 支持人工智能的处方咨询 (APA) 工具具有显著的潜力,可以提高T2DM患者的护理.
- 解决临床医生对解释性,可靠性和责任的担忧对于改善工具接受性和适用性至关重要.
- 需要进一步努力,以优化将AI驱动的CDSS集成到T2DM管理的临床实践中.
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