算法顾问:临床人工智能的新时代需要新的医生-算法专家
Jayson S Marwaha1,2, William Yuan3,4,5, Mukund Poddar6,7
1Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. jaysonm@med.umich.edu.
NPJ digital medicine
|August 27, 2025
概括
一个新的医生数据科学专家角色被提议将人工智能 (AI) 整合到临床决策中. 这位专家将指导人工智能工具的使用和管理,确保安全有效的临床人工智能应用.
科学领域:
- 医疗信息学
- 临床决策支持系统
- 医疗保健中的人工智能
背景情况:
- 将复杂的人工智能 (AI) 系统融入临床决策过程.
- 需要专门的专业知识来弥合人工智能开发者和实践临床医生的差距.
- 目前的临床支持模式,如临床药剂师,为专业角色提供先例.
研究的目的:
- 提出并定义一个新的角色:医生数据科学专家.
- 概述这位专家在临床AI管理方面的职责.
- 促进人工智能在实际临床环境中安全有效地应用.
主要方法:
- 开发一个新的临床专家角色的概念框架.
- 类似于现有的临床药剂师,用于配方管理和药物指导.
- 强调人工智能专家与面向患者的医疗保健提供者之间的合作.
主要成果:
- 确定需要专门的专家来管理临床AI系统.
- 提出类似于临床药剂师的角色,重点是人工智能工具的选择,解释和管理.
- 强调对人工智能实施的护理指导的重要性.
结论:
- 医生数据科学专家对于人工智能在医疗保健中的安全和有效整合至关重要.
- 这一角色将通过合作和专家指导确保适当的人工智能模型应用.
- 专家将管理医院的AI系统, 反映临床药剂师对药物的监督.
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