AI Scribes: Boosting Physician Efficiency in Clinical Documentation

Omosalewa Itauma, I. Itauma
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Abstract

The increasing demand on healthcare systems has amplified the burden on physicians and other healthcare professionals, with a huge portion of time dedicated to documenting patient encounters. Prolonged charting periods not only contribute to decreased physician productivity but also emerge as a prominent factor in physician burnout. This study investigates the potential of Artificial Intelligence (AI) to mitigate this challenge, focusing on AI-powered medical scribing as a solution to alleviate the burden of traditional charting methods in documentation of patient encounters and improve overall physician productivity. This research contributes to the ongoing discourse on the role of AI in healthcare and seeks to inform healthcare professionals, administrators, and policymakers about the potential benefits of integrating AI-powered medical scribing to improve physician efficiency and mitigate the impact of extensive charting on overall productivity and well-being.
人工智能抄写员:提高医生临床记录的效率
对医疗保健系统的需求日益增长,加重了医生和其他医疗保健专业人员的负担,他们需要花费大量时间记录与患者的接触情况。长时间的病历记录不仅会导致医生工作效率下降,而且也是造成医生职业倦怠的一个重要因素。本研究调查了人工智能(AI)在缓解这一挑战方面的潜力,重点关注人工智能驱动的医疗划线,以此作为一种解决方案,减轻传统制图方法在记录患者就诊情况方面的负担,并提高医生的整体工作效率。这项研究为当前关于人工智能在医疗保健领域的作用的讨论做出了贡献,并试图让医疗保健专业人士、管理者和决策者了解整合人工智能驱动的医疗划线技术的潜在益处,以提高医生的工作效率,减轻大量制表对整体生产力和福祉的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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