放射学工作人员在瑞典医院将人工智能整合到放射学实践中的经验:定性案例研究
Per Nilsen1,2, Petra Svedberg1, Ingrid Larsson1
1School of Health and Welfare, Halmstad University, Box 823 Halmstad, Halmstad, 30118, Sweden, 46 0706341151.
JMIR formative research
|December 22, 2025
概括
放射学中的人工智能 (AI) 提高了决策和护理质量,但也带来了整合挑战. 内部培训和工作流适应等策略是成功在放射科部门采用人工智能的关键.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 关于人工智能 (AI) 对放射科工作人员日常工作的影响的研究有限.
- 人工智能在放射学中的整合正在推进,需要了解其实际含义.
研究的目的:
- 探索放射科工作人员关于整合人工智能应用程序的经验.
- 为应对挑战和优化在放射学实践中AI使用的战略提供信息.
主要方法:
- 在一个单一的瑞典放射科 (40名员工) 的定性案例研究.
- 与放射科医生,放射技术专家和医生助理进行的采访.
- 使用定性内容分析分析的数据.
主要成果:
- 工作人员报告了人工智能在放射学中整合的显著优势和优势.
- 在人工智能选择,部署和运营整合方面发现了挑战.
- 讨论了促进人工智能集成和应对挑战的各种策略.
结论:
- 人工智能在放射学中的整合提高了决策和护理质量,但从采用前到常规使用都带来了挑战.
- 内部培训和工作流程调整被认为是成功整合人工智能的促进因素.
- 研究结果为在放射学中实施人工智能的类似医疗保健机构提供了见解.
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