变压器模型如何塑造未来的医疗保健:一项定性研究
Kerstin Denecke1, Richard May2, Octavio Rivera Romero3,4
1Bern University of Applied Sciences, Bern, Switzerland.
Studies in health technology and informatics
|October 23, 2023
概括
变压器模型为医疗保健自动化提供了潜力. 专家确定了8个关键的用例,包括文档,决策支持和患者教育,以提高临床结果.
科学领域:
- 人工智能的人工智能
- 自然语言处理自然语言处理.
- 医疗保健信息学 医疗保健信息学
背景情况:
- 变压器模型具有先进的自然语言处理和机器翻译.
- 像GPT-3这样的新兴模型显示了自动化复杂任务的潜力.
- 医疗保健面临着耗时的任务,可以从人工智能自动化中受益,以改善临床结果.
研究的目的:
- 总结转换器模型在医疗保健中的潜在未来使用案例.
- 收集专家关于变压器模型在临床环境中的应用的意见.
主要方法:
- 在医疗保健专家中进行了一项调查.
- 分析了专家的回复,使用了适应的主题分析.
- 收集和分析了28个专家的回复.
主要成果:
- 确定了八个不同的类别,用于医疗保健中的变压器模型的用例.
- 确定的用例包括:文档和临床编码,工作流和医疗保健服务,决策支持,知识管理,交互支持,患者教育,健康管理和公共卫生监测.
结论:
- 变压器模型为医疗保健领域的创新提供了重大机会.
- 需要进一步的研究和开发来测试和实施这些已识别的用例.
- 变压器模型的应用有可能改善临床结果和医疗保健效率.
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