克服障碍,使人工智能在临床实践中的应用成为可能:一项定性研究
Jane Hoffman1,2, Rachel Wenke1, Rebecca L Angus1
1Gold Coast Hospital and Health Service, Gold Coast, Australia.
Digital health
|February 5, 2025
概括
盟友卫生专业人员 (AHPs) 对人工智能 (AI) 在医疗保健中的实施表示担忧,理由是知识差距和风险. 解决这些问题需要有针对性的策略,如教育和清晰的沟通,以确保成功采用人工智能.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 医疗信息学 医疗信息学
- 盟友卫生专业 相关卫生专业
背景情况:
- 人工智能 (AI) 为医疗保健提供了变革性的潜力,有望改善患者和组织的结果.
- 然而,了解有关卫生专业人员 (AHPs) 对医疗保健中的AI的看法仍然有限.
研究的目的:
- 从AHPs的角度调查影响AI在医疗保健提供中的实施障碍和推动因素.
- 识别特定的挑战和促进因素,以促进人工智能在相关卫生服务的采用.
主要方法:
- 采用了定性方法,以行为变化理论为指导.
- 数据是通过重点小组收集的,其中包括25名澳大利亚昆士兰州卫生服务机构的AHP.
主要成果:
- 确定了24个障碍,包括缺乏人工智能知识,可解释性问题以及对专业实践和角色替代的担忧.
- 确定了24个推动因素,例如人工智能培训,监管,了解人工智能的好处以及临床冠军的作用.
结论:
- AHP对人工智能的影响,可信度和组织准备好使用人工智能表示担忧.
- 医疗保健组织需要积极主动,多方面的战略,包括提高员工技能和清晰的沟通,以解决障碍并促进AI实施.
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