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Analysis of errors in disease coding using computer software system and error correction paths |
Jiang Jun, Ge Linlin, Zhang Yao, Huai Jingyang, Dai Hui |
Department of Statistics, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China |
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Abstract Objective To aim at the frequent errors in disease coding using computer software systems, to analyze the causes of those coding errors, and to propose correction paths to improve the quality of disease coding.Methods Combined with practical work, the causes of errors in disease coding by computer software systems were discussed by case study. With further inductive analysis, paths to correct the errors were found out.Results There are two main reasons for the errors of disease coding by using computers. One is that coders, unfamiliar with ICD-10 codes and diseases, rely too much on the computer software system, and mechanically draw upon the electronic coding base. Second, there is also room for optimization in the computer software system.Conclusion Coders should keep learning medical knowledge and improve the coding accuracy. Large hospitals can divide the coding staff according to clinical departments, so that every coder can have a more specialized understanding of some chapters of ICD-10 and related diseases, so as to improve work efficiency and reduce errors. When the conditions are ripe, the computer software system can be upgraded.
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Received: 24 July 2022
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