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基于AI幻觉抑制的药学智能问答平台的构建与效能验证
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| 篇名： | 基于AI幻觉抑制的药学智能问答平台的构建与效能验证 |
| TITLE： | Construction and efficacy verification of an intelligent pharmaceutical Q&A platform based on AI hallucination-suppression |
| 摘要： | 目的 构建低“人工智能（AI）幻觉”的药学智能问答平台，提升用药咨询的准确性、一致性与可追溯性。方法利用Python代码对药品说明书进行批量结构化整理并构建本地药学知识库，基于大型语言模型实现检索与问答流程设计，并在Dify平台完成系统集成与本地化部署。通过设计典型临床用药问题，从达峰时间、半衰期检索及肾功能减退患者剂量调整方案推理等维度，将药学智能问答平台的输出结果与在线版DeepSeek进行对比验证，评估其检索和推理结果的准确性与可靠性。结果基于本地药品说明书构建的药学智能问答平台在达峰时间、半衰期及剂量调整方案的检索和推理准确率均为100%。相比之下，在线版Deep‐Seek在3个维度方面的准确率分别为30%（6/20）、50%（10/20）和38%（23/60）。结论构建的药学智能问答平台能够根据临床提问精准检索并提炼本地知识库信息，能避免AI幻觉的出现，为医务人员提供可靠的用药决策支持。 |
| ABSTRACT： | OBJECTIVE To construct an intelligent pharmaceutical Q&A platform for precision medication with low “artificial intelligence （AI） hallucination”， aiming to enhance the accuracy， consistency， and traceability of medication consultations. METHODS Medication package inserts were batch-processed and converted into structured data through Python programming to build a local pharmaceutical knowledge base. The retrieval and question-answering processes were designed based on large language models， and system integration and localized deployment were completed on Dify platform. By designing typical clinical medication questions and comparing the output of the intelligent pharmaceutical Q&A platform with the online version of DeepSeek across dimensions such as peak time retrieval， half-life， and dosage adjustment reasoning for patients with renal impairment， the accuracy and reliability of its retrieval and reasoning results were evaluated. RESULTS The intelligent pharmaceutical Q&A platform， constructed based on local drug package inserts， achieved 100% accuracy in retrieval and reasoning for peak time， half-life， and dosage adjustment schemes. In comparison， the online version of DeepSeek demonstrated accuracies of 30%（6/20）， 50%（10/20）， and 38%（23/60） across these three dimensions， respectively. CONCLUSIONS The constructed intelligent pharmaceutical Q&A platform is capable of accurately retrieving and extracting information from the local knowledge base based on clinical inquiries， thereby avoiding the occurrence of AI hallucinations and providing reliable medication decision support for healthcare professionals. |
| 期刊： | 2026年第37卷第02期 |
| 作者： | 温正旺；王嘉莹；杨文月；杨昊煜；马霄；刘云 |
| AUTHORS： | WEN Zhengwang，WANG Jiaying，YANG Wenyue，YANG Haoyu，MA Xiao，LIU Yun |
| 关键字： | 药学智能问答平台；AI幻觉；大型语言模型；DeepSeek；人工智能 |
| KEYWORDS： | intelligent pharmaceutical Q&A platform； AI hallucination； large language models； DeepSeek； artificial intelligence |
| 阅读数： | 5 次 |
| 本月下载数： | 0 次 |
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