Error analysis of disease coding in computer software system

Wang Ling; Delong Liu; Jun Liu

doi:10.1117/12.3011843

7 December 2023 Error analysis of disease coding in computer software system

Wang Ling, Delong Liu, Jun Liu

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129411A (2023) https://doi.org/10.1117/12.3011843
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

In order to solve the problem that computer software system often makes mistakes in disease coding, this paper puts forward an error analysis method of disease coding in computer software system. Firstly, a vocabulary database based on the third volume of ICD-10 is established, and the clinical diagnosis name and disease code checking rules are analyzed. Using the method of case analysis, this paper analyzes various factors leading to disease coding errors; Further induction and analysis, find the path of error correction. Accurate coding of diseases depends on the joint efforts of clinicians and medical staff in coding and standardized management, which has a great impact on diseases through accurate medical records.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wang Ling, Delong Liu, and Jun Liu "Error analysis of disease coding in computer software system", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129411A (7 December 2023); https://doi.org/10.1117/12.3011843

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