1 School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China 2 Peking University People’s Hospital, Beijing 100044, China 3 School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
[Objective] This study proposes a computer-assisted coding method based on the 11th Revision of International Classification of Diseases (ICD-11) and Chinese semantic analysis, aiming to improve the efficiency of medical coding. [Methods] First, we constructed a new model for the entities and relations in ICD-11 based on traditional graphic models. Then, we used an improved measurement for semantic similarity to estimate the confidence of ICD-11 candidate codes. Finally, the proposed model generated candidate ICD codes. [Results] We examined our model with a coded hospital dataset, and found the proposed method outperformed existing ones. Our method achieved a success rate of 42% in assisted mode and 73% in precise mode. [Limitations] The Chinese version of ICD-11 does not allow us to leverage more Chinese semantics information to improve coding precision. [Conclusions] The proposed method improves the efficiency of coders and quality of medical records. It also promotes the development of Chinese medical informatics.
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