不同受控语言在口腔病理学诊断中所捕获准确性的比较。
Comparison of accuracy captured by different controlled languages in oral pathology diagnoses.
作者信息
Chen Jung-Wei, Flaitz Catherine, Johnson Todd
机构信息
Dental Branch, University of Texas Health Science Center of Houston, TX, USA.
出版信息
AMIA Annu Symp Proc. 2005;2005:918.
This project was comparing the accuracy of capturing the oral pathology diagnoses among different coding systems. 55 diagnoses were selected for comparison among 5 coding systems. The results of accuracy in capturing oral diagnoses are: AFIP (96.4%), followed by Read 99 (85.5%), SNOMED 98 (74.5%), ICD-9 (43.6%), and CDT-3 (14.5%). It shows that the currently used coding systems, ICD-9 and CDT-3, were inadequate, whereas the AFIP coding system captured the majority of oral diagnoses. In conclusion, the most commonly used medical and dental coding systems lack terms for the diagnosis of oral and dental conditions.
本项目旨在比较不同编码系统在获取口腔病理学诊断方面的准确性。在5种编码系统中选取了55种诊断进行比较。获取口腔诊断的准确性结果如下：AFIP（96.4%），其次是Read 99（85.5%）、SNOMED 98（74.5%）、ICD - 9（43.6%）和CDT - 3（14.5%）。结果表明，目前使用的编码系统ICD - 9和CDT - 3并不充分，而AFIP编码系统能够获取大多数口腔诊断。总之，最常用的医学和牙科编码系统缺乏用于诊断口腔和牙齿疾病的术语。
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