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实施 HL7 上下文感知知识检索(“Infobutton”)标准面临术语挑战。

Terminology challenges implementing the HL7 context-aware knowledge retrieval ('Infobutton') standard.

机构信息

Wolters Kluwer Health, Sunnyvale, CA, USA.

出版信息

J Am Med Inform Assoc. 2013 Mar-Apr;20(2):218-23. doi: 10.1136/amiajnl-2012-001251. Epub 2012 Oct 16.

Abstract

Point-of-care information needs are common and frequently unmet. One solution to this problem is the use of Infobuttons, which are context-sensitive links from electronic health records (EHR) to knowledge resources, sometimes involving an intermediate broker known as an Infobutton Manager. Health Level Seven (HL7) has developed the Context-Aware Knowledge Retrieval (Infobutton) standard to standardize the integration between EHR systems and knowledge resources. While the standard specifies a set of context attributes and standard terminologies, it leaves to knowledge resources the flexibility to decide how to use these attributes and terminologies to retrieve the most relevant content. This paper describes some of the challenges faced by knowledge resources in trying to locate the most relevant content based on the attribute values for a given Infobutton request. Various approaches to content retrieval are discussed, including the role of indexing with standardized codes, the role of text-based search engines together with their ranking algorithms, and the role of hybrid approaches. Knowledge resource developers must carefully consider business rules, heuristics, and precision/recall tradeoffs when implementing the HL7 Infobutton standard.

摘要

床边信息需求很常见,但常常无法得到满足。解决这个问题的一个方法是使用 Infobutton,它是电子健康记录(EHR)到知识资源的上下文敏感链接,有时涉及称为 Infobutton 管理器的中间代理。健康水平 7(HL7)已经开发了上下文感知知识检索(Infobutton)标准,以标准化 EHR 系统和知识资源之间的集成。虽然该标准指定了一组上下文属性和标准术语,但它允许知识资源灵活决定如何使用这些属性和术语来检索最相关的内容。本文描述了知识资源在尝试根据给定 Infobutton 请求的属性值找到最相关的内容时所面临的一些挑战。讨论了各种内容检索方法,包括使用标准化代码进行索引的作用、基于文本的搜索引擎及其排名算法的作用以及混合方法的作用。知识资源开发人员在实现 HL7 Infobutton 标准时必须仔细考虑业务规则、启发式和精度/召回率权衡。

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