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DeepSeek-V3-0324大模型在药学门诊用药教育中的应用初探
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| 篇名： | DeepSeek-V3-0324大模型在药学门诊用药教育中的应用初探 |
| TITLE： | Preliminary exploration of the application of the DeepSeek-V3-0324 large-scale model in medication education in pharmaceutical outpatient clinics |
| 摘要： | 目的 探索临床药师通过DeepSeek-V3-0324大模型构建动态HTML网页，为药学门诊提供智能化用药教育的新模式。方法临床药师将患者基本情况、用药史和用药注意事项等关键临床信息进行实时整合，并通过DeepSeek-V3-0324大模型和人工复核处理后生成标准化用药教育单。结果将DeepSeek-V3-0324大模型应用于药学门诊生成个性化用药教育单，能有效解决传统药学门诊在面对复杂病例时，用药教育标准化程度不足、药师个体化经验差异导致的药学指导不统一以及部分特殊人群在接受用药宣教后遗忘或记忆错误导致的用药差错等问题。结论人工智能技术在药学门诊的转化应用，是对药学门诊服务手段的革新，可为患者提供即时、个性化的用药教育，提高药学服务的品质。但也需正视其数据库更新的滞后性及风险管理缺失，以及用药教育单多元化的缺乏问题。 |
| ABSTRACT： | OBJECTIVE To explore a new model of intelligent medication education for pharmaceutical outpatient clinics by constructing dynamic HTML web pages through the DeepSeek-V3-0324 large-scale model. METHODS Clinical pharmacists integrated key clinical information such as patients’ basic information， medication history and medication precautions in real time， and generated a standardized medication education list through the DeepSeek-V3-0324 large-scale model and manual review. RESULTS The DeepSeek-V3-0324 large-scale model was applied in the pharmaceutical outpatient clinics to generate a personalized medication education list， which could effectively solve the disunity of pharmacy guidance caused by the lack of standardization of medication education and the difference of individualized experience of pharmacists in the traditional pharmaceutical outpatient clinics in the face of complex cases， and medication errors caused by forgetting or misremembering information among certain special patient populations after receiving medication education. CONCLUSIONS The transformation and application of artificial intelligence technology in pharmaceutical outpatient clinics is an innovation of pharmaceutical outpatient service means， which can provide patients with immediate and personalized medication education and improve the quality of pharmaceutical care. However， it is also necessary to face the lag of database update and the lack of risk management， as well as the lack of diversification of medication education lists. |
| 期刊： | 2025年第36卷第17期 |
| 作者： | 钱凤丹；贾婷婷；张蝶；张立超；薛亚 |
| AUTHORS： | QIAN Fengdan，JIA Tingting，ZHANG Die，ZHANG Lichao，XUE Ya |
| 关键字： | 人工智能；药学服务；药学门诊；合理用药；DeepSeek |
| KEYWORDS： | artificial intelligence； pharmaceutical services； pharmaceutical clinics； rational drug use； DeepSeek |
| 阅读数： | 9 次 |
| 本月下载数： | 0 次 |
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