医生对临床决策支持系统中的AI的观点:对CURATE.AI个性化剂量优化平台的采访研究
Smrithi Vijayakumar1, V Vien Lee1, Qiao Ying Leong1
1The N.1 Institute for Health, National University of Singapore, Singapore, Singapore.
JMIR human factors
|October 30, 2023
概括
医生 医生 医生
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 医生对于通过用户反整合新的临床技术至关重要.
- 了解医生的观点是验证,实施和采用新技术的关键.
- 临床决策支持系统 (CDSS) 越来越普遍,需要对医生的看法进行研究.
研究的目的:
- 探索医生对整合CURATE.AI的看法,这是一个基于AI的个性化剂量CDSS.
- 收集关于基于AI的CDSS工具的实施考虑因素的见解.
主要方法:
- 对12名医生进行了半结构化采访.
- 检查了医生的知识,经验,态度和对CURATE.AI.感知的风险.
- 利用转录的采访数据进行主题分析.
主要成果:
- 通过专题分析确定了3个大主题和9个子主题.
- 医生对技术开发,临床实施和大规模采用阶段的看法各不相同.
- 主题强调了新技术整合的重要考虑因素.
结论:
- 医生对基于AI的个性化剂量CDSSs (如CURATE.AI) 的解释是微妙的.
- 医生期望通过技术探索和实施阶段演变.
- 对人工智能技术开发人员和研究人员来说,洞察力是有价值的.
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