The quality and safety of using generative AI to produce patient-centred discharge instructions

IF 12.4 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Kristian Stanceski, Sharleen Zhong, Xumou Zhang, Sam Khadra, Marguerite Tracy, Linda Koria, Sarita Lo, Vasi Naganathan, Jinman Kim, Adam G. Dunn, Julie Ayre
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引用次数: 0

Abstract

Patient-centred instructions on discharge can improve adherence and outcomes. Using GPT-3.5 to generate patient-centred discharge instructions, we evaluated responses for safety, accuracy and language simplification. When tested on 100 discharge summaries from MIMIC-IV, potentially harmful safety issues attributable to the AI tool were found in 18%, including 6% with hallucinations and 3% with new medications. AI tools can generate patient-centred discharge instructions, but careful implementation is needed to avoid harms.

Abstract Image

使用生成式人工智能生成以患者为中心的出院指导的质量和安全性
以患者为中心的出院指导可提高依从性和治疗效果。我们使用 GPT-3.5 生成了以患者为中心的出院指导,并对其安全性、准确性和语言简洁性进行了评估。在对来自 MIMIC-IV 的 100 份出院摘要进行测试时,发现 18% 的人工智能工具存在潜在的有害安全问题,包括 6% 的幻觉和 3% 的新药。人工智能工具可以生成以患者为中心的出院指导,但需要谨慎实施以避免危害。
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来源期刊
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.
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