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整合基于人工智能的支持系统到临床实践中的概念.

Katja Hoffmann1, Richard Gebler1, Sophia Grummt1

  • 1Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

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PubMed
概括

将人工智能 (AI) 整合到医疗保健中显示出对患者护理的前景. 本研究提出了一个敏捷的IT平台,以克服临床工作流程中人工智能应用的互操作性挑战,特别是眼科领域.

关键词:
人工智能的人工智能是人工智能.临床决策支持系统 临床决策支持系统互操作性 互操作性 互操作性眼科医生 眼科 眼科在FHIR上的SMART.

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科学领域:

  • 医疗信息学 医疗信息学
  • 临床AI整合 临床AI整合
  • 健康 信息技术 发展 发展

背景情况:

  • 人工智能 (AI) 具有显著的潜力,可以增强患者护理和临床决策.
  • 人工智能在临床实践中的广泛采用受到重大挑战的阻碍,特别是系统互操作性问题.
  • 将人工智能工具无地集成到现有的医疗IT基础设施中仍然是一个至关重要的未满足需求.

研究的目的:

  • 为敏捷开发信息技术 (IT) 平台提出一个概念框架.
  • 促进基于人工智能的应用程序融入常规临床工作流程.
  • 在眼科领域解决AI整合的特定用例.

主要方法:

  • 敏捷IT平台架构的概念设计.
  • 专注于解决AI临床应用的互操作性挑战.
  • 针对无整合到现有临床工作流程的开发策略.

主要成果:

  • 一个灵活的IT平台的概念模型,旨在将AI整合到医疗保健中.
  • 确定了克服临床AI采用中的互操作性障碍的关键策略.
  • 一个适用于眼科使用案例的框架,用于整合人工智能工具.

结论:

  • 专业IT平台的敏捷开发对于克服临床环境中的AI整合挑战至关重要.
  • 解决互操作性是释放人工智能的潜力以改善患者护理的关键.
  • 拟议的概念为在眼科等专业医疗领域实施人工智能解决方案提供了一条途径.