Comparison of accuracy captured by different controlled languages in oral pathology diagnoses.
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.
Chen
Jung-Wei
JW
Dental Branch, University of Texas Health Science Center of Houston, TX, USA.
Flaitz
Catherine
C
Johnson
Todd
T
D003945:Diagnosis, Oral; D006801:Humans; D010339:Pathology, Oral / Q000145:classification*; D018875:Vocabulary, Controlled