DeepSeek护理个案理解能力测试与应用展望
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(南通大学附属南通第三医院重症医学科南通 226006)

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王东丽,副主任护师,发表论文5篇;通信作者:邵帅,护师。 基金项目:南通大学临床医学专项科研基金(项目编号:2024HY016)。

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基金项目:

南通大学临床医学专项科研基金(项目编号:2024HY016)。


Evaluation of DeepSeek’s Comprehension Ability in Nursing Case Analysis and Its Application Prospects
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(Department of Critical Care Medicine, The Third Affiliated Hospital of Nantong University, Nantong 226006, China)

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    目的/意义 探讨DeepSeek对护理个案的理解能力,展望其在护理教育和临床辅助决策中的应用前景。方法/过程选取《护理综合案例分析》中28个护理个案的120道开放性问答题,利用DeepSeek-R1-671b生成答案。两名评分者依据标准答案,从准确性、全面性、实用性、简洁性和条理性5个维度,对模型生成答案和答案解析进行独立评分,并计算总体正确率。结果/结论 DeepSeek能较准确理解并回答护理个案问题,在护理教育和临床辅助决策中有一定应用潜力。

    Abstract:

    Purpose/SignificanceTo explore DeepSeek’s comprehension ability of nursing cases, and to look forward its application prospects in nursing education and clinical decision support. Method/Process A total of 120 open-ended questions from 28 nursing cases in the Comprehensive Case Analysis of Nursing are selected. The DeepSeek-R1-671b is used to generate answers. Two graders independently score the answers based on five dimensions: accuracy, comprehensiveness, practicality, conciseness and logical clarity, and the overall accuracy rate is calculated. Result/Conclusion DeepSeek can understand and answer the questions of nursing cases with reasonable accuracy and shows potential for application in nursing education and clinical decision support.

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王东丽,邵帅,丁磊,等. DeepSeek护理个案理解能力测试与应用展望[J].医学信息学杂志,2026,47(2):98-102, 109

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  • 最后修改日期:2025-12-07
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  • 在线发布日期: 2026-03-16
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