Learning from the EHR to implement AI in healthcare

IF 12.4 1区医学 Q1 HEALTH CARE SCIENCES & SERVICES

NPJ Digital Medicine Pub Date : 2024-11-21 DOI:10.1038/s41746-024-01340-0

Christian Rose, Jonathan H. Chen

引用次数: 0

Abstract

The introduction of the electronic health record was heralded as a technology solution to improve care quality and efficiency, but these tools have contributed to increased administrative burden and burnout for clinicians. Today, artificial intelligence is receiving much of the same attention and promises as electronic health records. Can healthcare learn from the failures of electronic health records to maximize the potential of artificial intelligence?

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从电子病历学习在医疗保健领域实施人工智能

电子病历的引入被誉为提高医疗质量和效率的技术解决方案，但这些工具却增加了临床医生的管理负担和职业倦怠。如今，人工智能正受到与电子病历同样的关注和承诺。医疗保健行业能否从电子病历的失败中吸取教训，最大限度地发挥人工智能的潜力？

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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来源期刊

NPJ Digital Medicine Multiple-

CiteScore

25.10

自引率

3.30%

发文量

170

审稿时长

15 weeks

期刊介绍： npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.