Goldberg H, Goldsmith D, Law V, Keck K, Tuttle M, Safran C
Division Of Clinical Computing, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Stud Health Technol Inform. 1998;52 Pt 1:609-12.
We are developing a set of software components--the Problem List Toolkit (PL-Tk)--to support operations on clinical problem labels. An adaptation of the National Library of Medicine's Unified Medical Language System (UMLS) provides general vocabulary services to domain-specific software components. Our initial investigation centers on the inclusion in UMLS of problem labels used in the Beth Israel Deaconess Medical Center's Online Medical Record (OMR). We also explore the semantic typing of problem labels matched in UMLS. We have operationally defined a clinical problem to derive its semantic type from classes of terms representing findings or processes typically requiring diagnostic evaluation or therapeutic management in clinical practice. Of 1262 unique OMR problem labels, 999 terms (79%) have matches in UMLS. 986 of 999 terms (99%) map to the UMLS concept of the corresponding lexical match. 952 of 999 terms (95%) have semantic types that comply with our operational definition of clinical problems. These 952 terms (75%) constitute Version 1.0 of the problem list vocabulary B196. Matching terms with inappropriate semantic types raise issues regarding requirements for PL-Tk, typing of existing UMLS terms, and the adequacy of our operational definition for clinical problems. UMLS provides a large repertoire of pre-coordinated terms that are used as problem labels in a heavily used computer-based patient record system. The semantic type hierarchy provides a framework for the consistent use of clinical concepts in problem lists such that clinical problem labels represent "good" clinical problems.
我们正在开发一套软件组件——问题列表工具包(PL-Tk),以支持对临床问题标签的操作。对美国国立医学图书馆统一医学语言系统(UMLS)的一种改编为特定领域的软件组件提供通用词汇服务。我们的初步研究集中于将贝斯以色列女执事医疗中心在线病历(OMR)中使用的问题标签纳入UMLS。我们还探索在UMLS中匹配的问题标签的语义类型。我们已从代表临床实践中通常需要诊断评估或治疗管理的发现或过程的术语类别中,对临床问题进行了操作性定义,以得出其语义类型。在1262个唯一的OMR问题标签中,999个术语(79%)在UMLS中有匹配项。999个术语中的986个(99%)映射到相应词汇匹配的UMLS概念。999个术语中的952个(95%)具有符合我们临床问题操作性定义的语义类型。这952个术语(75%)构成了问题列表词汇表B196的1.0版本。具有不适当语义类型的匹配术语引发了有关PL-Tk要求、现有UMLS术语的类型划分以及我们临床问题操作性定义的充分性等问题。UMLS提供了大量预协调术语,这些术语在一个广泛使用的基于计算机的患者记录系统中用作问题标签。语义类型层次结构为在问题列表中一致使用临床概念提供了一个框架,使得临床问题标签代表“良好”的临床问题。