GPT技术将有助于解决长期以来在免费医疗诊所的护理障碍
Hannah Ong1, Joshua Ong2, Rebekah Cheng3
1College of Medicine, The Ohio State University, Columbus, OH, 43210, USA. Hannah.ong@osumc.edu.
Annals of biomedical engineering
|June 24, 2023
概括
大型语言模型 (LLM) 通过加强免费诊所运营,可以弥合服务不足人群的医疗保健差距. 将人工智能集成到电子健康记录中可以改善患者护理,促进健康公平.
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
- 健康 公平 卫生 公平
背景情况:
- 集成人工智能 (AI) 的电子健康记录 (EHR) 提高了医院以患者为中心的护理和效率.
- 免费诊所对先进的EHR能力的利用率较低,这限制了服务不足的人群的综合护理.
- 由于免费诊所患者面临的各种接入障碍,医疗保健的差异仍然存在.
研究的目的:
- 探索新兴人工智能技术的整合,例如大型语言模型 (LLM),用于免费诊所运营.
- 优化和简化在资源有限的环境中为服务不足的患者群体提供医疗保健.
- 确定在LLM如GPT中进行必要的改进,以便在免费诊所提供有效的服务.
主要方法:
- 关于人工智能在医疗保健和电子健康系统方面的文献综述.
- 分析LLM (如ChatGPT,GPT-4) 在免费诊所环境中的潜在应用.
- 确定LLM增强的具体领域,以满足服务不足的人群的需求.
主要成果:
- 在资源有限的环境中,LLM显示出改善患者护理结果和促进健康公平的巨大潜力.
- 整合LLM可以简化医疗保健服务,使其对服务不足的患者更加全面和整体.
- 确定了GPT改进的具体领域,以更好地支持免费诊所的运作.
结论:
- 新兴的LLM人工智能技术为改善免费诊所的医疗保健服务提供了一个有前途的途径.
- 战略性整合LLM可以帮助弥合医疗保健差距,并改善弱势群体获得医疗保健的机会.
- 进一步发展LLM至关重要,以充分发挥其在支持资源有限的医疗保健机构的潜力.
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