临床决策支持知识库研究

目的 运用知识管理的理念和方法,探讨切合实际应用的临床决策支持知识库概念模型，使医院能够通过知识管理提升其核心竞争力。方法 收集国内外相关资料，系统化研究及分析具有人工智能的临床决策支持知识库的框架。结果 实施医院知识管理的关键就是必须建立一个动态的，并具有自我学习能力的临床决策支持知识库，该知识库不仅需要通过医院信息系统收集传统的医学知识，而且需要建立用于临床指南等的标准医学知识收集的引擎和隐性知识转化模型，并嵌入智能化工具，通过知识库的自我学习功能，保证其动态更新和智能化的临床决策支持能力。结论 医院知识库创建过程实质也是医院价值的创造过程，智能化的临床决策支持知识库开发不仅涉及知识的收集和处理, 还包括知识的表达，人工智能技术的嵌入和各种规则、条件及分类方法等的应用，有待进一步研究。

Study of Clinical Decision Support Knowledge Base

Objective To explore clinical decision support knowledge base model that is suitable to practical use by utilizing knowledge management idea and method, which is used to enhance hospital core competency. Methods Collecting domestic and foreign medical informatics related information, to study and analyze the framework of clinical decision support knowledge base with artificial intelligence. Results The key to implement hospital knowledge management is to establish machine-learning and dynamic clinical decision support knowledge base, which is not only connected with HIS to collect traditional medical knowledge , but also needs establishing standard medical knowledge collecting engine and tacit medical knowledge translation model; in addition, intelligentized tools are embedded in the knowledge base, which make it hold machine learning function and intelligentized clinical decision support capacity with dynamic and updated medical knowledge. Conclusion The process to establish hospital knowledge base, in fact, is to create hospital value. The development of intelligentized clinical decision support knowledge base is not only related to medical knowledge collection and processing, but also dealt with medical knowledge expression, artificial intelligence technique embedding and application of rules, terms and classifications, which needs further study.