Chiang Michael F, Casper Daniel S, Cimino James J, Starren Justin
Department of Ophthalmology, Columbia University College of Physicians and Surgeons, New York, New York 10032, USA.
Ophthalmology. 2005 Feb;112(2):175-83. doi: 10.1016/j.ophtha.2004.09.032.
To assess the adequacy of 5 controlled medical terminologies (International Classification of Diseases 9, Clinical Modification [ICD9-CM]; Current Procedural Terminology 4 [CPT-4]; Systematized Nomenclature of Medicine, Clinical Terms [SNOMED-CT]; Logical Identifiers, Names, and Codes [LOINC]; Medical Entities Dictionary [MED]) for representing concepts in ophthalmology.
Noncomparative case series.
Twenty complete ophthalmology case presentations were sequentially selected from a publicly available ophthalmology journal.
Each of the 20 cases was parsed into discrete concepts, and each concept was classified along 2 axes: (1) diagnosis, finding, or procedure and (2) ophthalmic or medical concept. Electronic or paper browsers were used to assign a code for every concept in each of the 5 terminologies. Adequacy of assignment for each concept was scored on a 3-point scale. Findings from all 20 case presentations were combined and compared based on a coverage score, which was the average score for all concepts in that terminology.
Adequacy of assignment for concepts in each terminology, based on a 3-point Likert scale (0, no match; 1, partial match; 2, complete match).
Cases were parsed into 1603 concepts. SNOMED-CT had the highest mean overall coverage score (1.625+/-0.667), followed by MED (0.974+/-0.764), LOINC (0.781+/-0.929), ICD9-CM (0.280+/-0.619), and CPT-4 (0.082+/-0.337). SNOMED-CT also had higher coverage scores than any of the other terminologies for concepts in the diagnosis, finding, and procedure categories. Average coverage scores for ophthalmic concepts were lower than those for medical concepts.
Controlled terminologies are required for electronic representation of ophthalmology data. SNOMED-CT had significantly higher content coverage than any other terminology in this study.
评估5种受控医学术语(国际疾病分类第9版,临床修订本[ICD9-CM];当前操作术语第4版[CPT-4];医学系统命名法,临床术语[SNOMED-CT];逻辑标识符、名称和代码[LOINC];医学实体词典[MED])在表示眼科概念方面的充分性。
非比较性病例系列。
从一本公开可用的眼科杂志中依次选取20份完整的眼科病例报告。
将20个病例中的每一个解析为离散的概念,并将每个概念沿两个轴进行分类:(1)诊断、发现或操作,以及(2)眼科或医学概念。使用电子或纸质浏览器为5种术语中的每个概念分配一个代码。每个概念的分配充分性按3分制评分。将所有20份病例报告的结果进行汇总,并根据覆盖率得分进行比较,覆盖率得分是该术语中所有概念的平均得分。
基于3点李克特量表(0,不匹配;1,部分匹配;2,完全匹配),评估每种术语中概念的分配充分性。
病例被解析为1603个概念。SNOMED-CT的总体平均覆盖率得分最高(1.625±0.667),其次是MED(0.974±0.764)、LOINC(0.781±0.929)、ICD9-CM(0.280±0.619)和CPT-4(0.082±0.337)。对于诊断、发现和操作类别的概念,SNOMED-CT的覆盖率得分也高于其他任何术语。眼科概念的平均覆盖率得分低于医学概念。
眼科数据的电子表示需要受控术语。在本研究中,SNOMED-CT的内容覆盖率显著高于任何其他术语。