Research on Synonym Constraint Library in Intelligent Encoding Solutions
Objective To carry on automatic classification coding of disease diagnosis on first page of medical records,complete filling of disease diagnosis quickly,and complete preliminary coding work,and improve quality and efficiency of filling in first page of medical records.Methods The paper established a synonym constraint library with artificial intelligence coding system,improved learning ability for disease names and ICD-10 classification codes of intelligent coding system,completed automatical match between disease names described in natural language and ICD coding library and output unique disease classification and ICD codes.Result A synonym constraint library was established with artificial intelligence coding system,to complete preliminary coding work of medical record homepage quickly,with success rate of 95％for preliminary coding matching.Artificial intervention for specific diagnoses can improve success rate of disease coding matching to 97％and above.Conclusion Synonym constraint library can achieve consistency between filling in homepage and discharge record,complete preliminary coding work quickly,and reduce workload of coders,which is feasible path for intelligent coding of disease diagnosis.
万方数据
维普
