人工智能门诊分导诊对分诊准确率及患者满意度的影响
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女,硕士,副主任护师,总护士长

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华中科技大学同济医学院第一临床学院教学改革项目(2022XH046);华中科技大学同济医学院护理学院研究生教学改革项目(HLYJ202412)


Effects of artificial intelligence-based outpatient triage and guidance on triage accuracy and patient satisfaction
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    目的 探讨人工智能门诊分导诊对分诊准确率及门诊患者满意度的影响。方法 以便利抽样法选取2023年11-12月的270例门诊患者作为对照组,采用常规门诊分诊方法。将2024年11-12月的276例门诊患者作为观察组,应用人工智能门诊分导诊模式,包括人工智能分导诊、人工智能加号、人工智能预问诊,由分导诊护士全程指导患者完成。结果 观察组患者分诊准确率显著高于对照组,且观察组门诊患者满意度各条目评分显著优于对照组(均P<0.05)。结论 人工智能门诊分导诊有助于提高门诊分诊准确率,提升门诊患者满意度。

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    Objective To explore the effects of artificial intelligence (AI)-based outpatient triage and guidance on triage accuracy and outpatient satisfaction. Methods A total of 270 outpatients from November to December 2023 were selected as a control group using convenience sampling, and routine outpatient triage methods were adopted. Another 276 outpatients from November to December 2024 served as an intervention group, where an AI-based outpatient triage and guidance model was applied, including AI triage, AI-assisted appointment addition, and AI pre-consultation, with guidance provided by triage nurses throughout the process. Results The triage accuracy in the intervention group was significantly higher than that in the control group, and each item scores of outpatient satisfaction in the intervention group were significantly better than those in the control group (all P<0.05). Conclusion AI-based outpatient triage and guidance helps improve the accuracy of outpatient triage and enhance outpatient satisfaction.

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杨霞,刘义兰,孙丽,陈澍,谭捷,李疆.人工智能门诊分导诊对分诊准确率及患者满意度的影响[J].护理学杂志,2025,(18):10-13

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  • 收稿日期:2025-04-24
  • 最后修改日期:2025-06-29
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  • 在线发布日期: 2025-10-22