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The quality and safety of using generative AI to produce patient-centred discharge instructions
npj Digital Medicine ( IF 12.4 ) Pub Date : 2024-11-20 , DOI: 10.1038/s41746-024-01336-w Kristian Stanceski, Sharleen Zhong, Xumou Zhang, Sam Khadra, Marguerite Tracy, Linda Koria, Sarita Lo, Vasi Naganathan, Jinman Kim, Adam G. Dunn, Julie Ayre
中文翻译:
使用生成式 AI 生成以患者为中心的出院指示的质量和安全性
更新日期:2024-11-21
npj Digital Medicine ( IF 12.4 ) Pub Date : 2024-11-20 , DOI: 10.1038/s41746-024-01336-w Kristian Stanceski, Sharleen Zhong, Xumou Zhang, Sam Khadra, Marguerite Tracy, Linda Koria, Sarita Lo, Vasi Naganathan, Jinman Kim, Adam G. Dunn, Julie Ayre
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.
中文翻译:
使用生成式 AI 生成以患者为中心的出院指示的质量和安全性
以患者为中心的出院指导可以提高依从性和结局。使用 GPT-3.5 生成以患者为中心的出院指示,我们评估了响应的安全性、准确性和语言简化性。当对 MIMIC-IV 的 100 份出院小结进行测试时,发现 18% 的患者存在归因于 AI 工具的潜在有害安全问题,其中 6% 的患者出现幻觉,3% 的患者出现新药。AI 工具可以生成以患者为中心的出院指示,但需要仔细实施以避免伤害。