From the Department of Neurology (W.G., H.J.R., I.S.S., L.M.), Massachusetts General Hospital, Boston; Department of Neurology (M.B.W.), Beth Israel Deaconess Medical Center, Boston, MA; Information Technology Division (A.L.W.), Cleveland Clinic, OH; Department of Neurology (L.K.J.), Mayo Clinic, Rochester, MN; and Department of Neurology (L.M.), Harvard Medical School, Boston, MA.
Neurology. 2023 Nov 27;101(22):1010-1018. doi: 10.1212/WNL.0000000000207853.
The integration of natural language processing (NLP) tools into neurology workflows has the potential to significantly enhance clinical care. However, it is important to address the limitations and risks associated with integrating this new technology. Recent advances in transformer-based NLP algorithms (e.g., GPT, BERT) could augment neurology clinical care by summarizing patient health information, suggesting care options, and assisting research involving large datasets. However, these NLP platforms have potential risks including fabricated facts and data security and substantial barriers for implementation. Although these risks and barriers need to be considered, the benefits for providers, patients, and communities are substantial. With these systems achieving greater functionality and the pace of medical need increasing, integrating these tools into clinical care may prove not only beneficial but necessary. Further investigation is needed to design implementation strategies, mitigate risks, and overcome barriers.
自然语言处理（NLP）工具与神经科工作流程的整合具有显著改善临床护理的潜力。然而，解决与整合这项新技术相关的局限性和风险至关重要。基于转换器的 NLP 算法（如 GPT、BERT）的最新进展，可以通过总结患者健康信息、提出护理方案以及辅助涉及大数据集的研究来增强神经科临床护理。然而，这些 NLP 平台存在潜在风险，包括虚假事实和数据安全，以及实施的巨大障碍。尽管需要考虑这些风险和障碍，但对提供者、患者和社区来说，益处是巨大的。随着这些系统实现更高的功能，医疗需求的步伐加快，将这些工具整合到临床护理中不仅可能是有益的，而且可能是必要的。需要进一步研究来设计实施策略、减轻风险和克服障碍。
