整个卫生系统都能使用生成性人工智能:纽约大学兰贡健康体验
Kiran Malhotra1,2,3, Batia Wiesenfeld4, Vincent J Major1,2,5
1New York University (NYU) Langone Health, New York, NY 10016, United States.
Journal of the American Medical Informatics Association : JAMIA
|November 25, 2024
概括
一个安全的生成人工智能 (GenAI) 工作室在医疗保健环境中得到了很高的采用,员工将其用于各种任务. 有效的劳动力教育对于最大限度地利用GenAI的好处和应对使用挑战至关重要.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 人工智能在医学中的应用
- 数字化健康转型
背景情况:
- 学术卫生中心正在探索生成人工智能 (GenAI) 以提高运营效率.
- 实施安全和私有GenAI实例对于敏感的医疗环境至关重要.
研究的目的:
- 评估一个大型学术医疗中心内私人GenAI应用程序的采用,使用模式和感知影响.
- 了解员工与GenAI的互动及其对感知技能和工作绩效的影响.
主要方法:
- 在纽约大学朗贡健康 (NYULH) 建立一个安全的,私有的Azure OpenAI服务 (GenAI Studio).
- 允许员工广泛访问,在六个月内进行使用监测和用户调查.
主要成果:
- 超过1007名个人申请访问,在研究和临床部门的大量利用.
- 用户报告说使用方便,准备好,并愿意推GenAI工作室.
- 基因人工智能被应用于各种任务,包括写作,编辑,总结,数据分析和想法生成.
- 确定的挑战包括工作人员的提示工程教育和技术限制 (代币/API).
结论:
- 人们对GenAI在医疗保健环境中的高度兴趣和广泛使用得到了证明.
- 基因人工智能是增强员工技能和日常任务的宝贵工具.
- 有效的劳动力教育和指导对于成功的全系统GenAI实施至关重要.
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