Department of Urology, University of California, Irvine, CA, USA.
Department of Surgery, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Curr Urol Rep. 2024 Nov 18;26(1):20. doi: 10.1007/s11934-024-01237-1.
In modern healthcare, the integration of artificial intelligence (AI) has revolutionized clinical practices, particularly in data management and patient visit summary creation. Manual creation of patient summary is repetitive, time-consuming, prone to errors, and increases clinicians' workload. AI, through voice recognition and Natural Language Processing (NLP), can automate this task more accurately and efficiently. Erectile dysfunction (ED) clinics, which deal with specific pattern of conditions together with an involvement of broader systemic issues, can greatly benefit from AI-driven patient summary. This scoping review examined the evidence on AI-generated patient summary and evaluated their implementation in ED clinics.
A total of 381 articles were initially identified, 11 studies were included for the analysis. These studies showcased various methodologies, such as AI-assisted clinical notes and NLP algorithms. Most studies have demonstrated the ability of AI to be used in real life clinical scenarios. Major electronic health record platforms are also integrating AI to their system. However, to date, no studies have specifically addressed AI for patient summary creation in ED clinics.
在现代医疗保健中,人工智能(AI)的融合彻底改变了临床实践,特别是在数据管理和患者就诊记录的创建方面。手动创建患者记录既繁琐耗时,又容易出错,还增加了临床医生的工作量。而 AI 通过语音识别和自然语言处理(NLP),可以更准确、高效地完成这项任务。处理特定病症模式并涉及更广泛的系统性问题的勃起功能障碍(ED)诊所,可从 AI 驱动的患者记录中大大受益。本范围综述检查了关于 AI 生成的患者记录的证据,并评估了它们在 ED 诊所中的实施情况。
最初共确定了 381 篇文章,有 11 项研究纳入分析。这些研究展示了各种方法,如 AI 辅助的临床记录和 NLP 算法。大多数研究表明 AI 可用于现实生活中的临床场景。主要的电子病历平台也在将 AI 集成到他们的系统中。然而,迄今为止,尚无研究专门针对 ED 诊所的患者记录创建来使用 AI。