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Issues And Trends In Healthcare Delivery System01:29

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
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Updated: Jan 16, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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环境扫描用于临床和翻译科学的生成人工智能基础设施

Betina Idnay1, Zihan Xu2, William G Adams3

  • 1Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.

ArXiv
|October 1, 2025
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概括

临床和翻译科学中生成AI (GenAI) 的采用处于早期阶段,大多数机构都在进行实验. 关键的挑战包括员工培训,道德监督和解决偏见,以有效地整合医疗保健.

关键词:
临床和翻译研究基因AI是基因的人工智能.在法学士 (LLM) 课程中.

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科学领域:

  • 医疗保健信息学 医疗保健信息学
  • 人工智能在医学中的应用
  • 翻译科学 翻译科学

背景情况:

  • 生成型人工智能 (GenAI) 和大型语言模型 (LLM) 为医疗保健带来了重大机遇和挑战.
  • 临床和翻译科学奖 (CTSA) 网络包括36个积极探索GenAI整合的机构.

研究的目的:

  • 在国家CTSA网络内对GenAI基础设施进行环境扫描.
  • 评估机构的准备,利益相关者的角色,治理和在医疗保健中采用GenAI的伦理考虑.

主要方法:

  • 在CTSA网络中的学术医疗中心和卫生系统的领导人进行了一项调查.
  • 该调查重点关注目前的GenAI部署状态,治理模式,并确定了挑战.

主要成果:

  • 大多数机构都处于GenAI部署的实验阶段,表现出多样化的策略.
  • 偏好集中决策,但在劳动力培训和道德监督方面存在重大差距.
  • 确定了关于GenAI偏见,数据安全和利益相关方信任的担忧.

结论:

  • 将GenAI整合到医疗保健中需要一个协调的方法,涉及高级领导,临床医生,IT工作人员和研究人员.
  • 解决道德问题和确保强有力的治理对于GenAI的有效实施至关重要.
  • 这项研究为医疗机构提供了洞察力和路线图,利用GenAI提高护理质量和运营效率.