Abstract：Objective To establish automatic International Classification of Diseases-10 (ICD-10) coding and classification statistical tool, and to objectively evaluate its applicability so as to rapidly implement ICD-10 coding and classification statistics based on disease diagnosis in hospital outpatient cases. Methods Based on the modular idea, the method of exact matching combined with regular matching was used to perform coding analysis and classification statistics. We selected the data concerning outpatients in December 2015 from a grade A tertiary hospital, and then set the original ICD as the standard to make the applicability evaluation. Results This software had service functions (such as data input, code matching and classification statistics) and management functions (such as dictionary applying, template creating and authority allocating). During the operation, it cost 38 seconds to input the data, 456 seconds to implement ICD-10 coding, and 61 seconds to generate statistic reports. The initial success and coincidence rates of ICD coding were 83.3% and 90.9% respectively, and the accuracy of classification was 100%. Conclusions The automatic ICD-10 coding and classification statistical tool can be used conveniently, rapidly, accurately and feasibly; moreover, it can provide effective support for improving data quality relating to the study of impacts of air pollution on outpatients.
2019, Vol. 26 
