高级临床从业人员对人工智能实施的教训:英国医学成像和放射治疗的探索性定性研究
Nikolaos Stogiannos1, Tracy O'Regan2, Erica Scurr3
1Department of Midwifery & Radiography, City St George's, University of London, UK; Magnitiki Tomografia Kerkiras, Corfu, Greece.
Journal of medical imaging and radiation sciences
|November 23, 2024
概括
在医学成像和放射治疗中使用人工智能 (AI) 的放射科医生看到的好处包括改善的工作流程和患者安全. 然而,他们强调需要明确的角色,定制的人工智能教育和强有力的领导才能成功实施.
科学领域:
- 医疗成像医学成像
- 辐射疗法 辐射疗法
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 越来越多地被放射科医生用于医学成像和放射治疗.
- 本研究探讨了医疗保健专业人员目前在他们的实践中使用人工智能工具的观点.
研究的目的:
- 调查使用AI在临床环境中的放射科医生的经验和观点.
- 识别在医学成像和放射治疗中成功整合人工智能的感知好处,挑战和要求.
主要方法:
- 采用了定性,探索性研究设计.
- 数据是通过五次半结构化的在线采访收集的,这些采访是针对英国的专业人士,这些专业人士在医学成像和放射治疗中使用人工智能.
- 用概念性内容分析分析了完整的面试成绩单,以确定关键主题.
主要成果:
- 专业人士讨论了潜在的AI诱导的失业和角色变化,数据保护问题以及领导力和工作流集成的重要性.
- 感知到的好处包括更顺的临床工作流程,决策支持和增强的患者安全.
- 确定的主要需求是定制的人工智能教育,多学科团队合作和明确的指导.
结论:
- 赋予临床工作人员定义的角色是人工智能实施成功的关键.
- 优先考虑患者护理和安全对于有效采用人工智能至关重要.
- 存在很大的知识差距,突出了对放射科医生的全面人工智能教育和培训的需求.
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