Design and Effect Study of ICD Coded Artificial Intelligence Audit Quality Control Mode
Objectives To design the ICD coding artificial intelligence audit quality control model and evaluate the effect,so as to improve the coding accuracy.Methods Qualified quality control personnel were selected according to the"Quality Specification for Filling in the Frontt Page Data of Inpatient Medical Records(Interim)"(Health Office Medical[2016]No.24)and"Rules for filling in the front page of Inpatient Medical Records and Quality Control of a Hospital".Before the launch of the extracted artificial intelligence review module,27 359 front pages of inpatient medical records from February 1st,2021 to October 31st,2021,and 60 239 front pages of inpatient medical records from October 1st,2022 to October 31st,2022 were quality-controlled one by one,and the main diagnosis and the situation of missing coding,wrong coding and wrong selection were recorded.Results After the system was launched,the correct rate of doctors'filling in was higher than that before the system was launched(x2=390.596,P<0.05),and the error rate of doctors'filling in the causes of errors decreased significantly(surgery/operation omission x2=147.13,P<0.05,missed diagnosis x2=6.50,P<0.05,major diagnosis selection error x2=5.76,etc.).P<0.05,diagnosis filling error x2=3.88,P<0.05,surgery/operation selection error x2=13.08,P<0.05,multiple diagnosis x2=25.16,P<0.05);The coding accuracy rate of coders was higher than that before the system went online(x2=546.384,P<0.05).The error rate of various error types of coders decreased significantly(main diagnosis code error x2=571.922,P<0.05,surgery/operation code error x2=36.1,P<0.05,missed surgery/operation code x2=4.18,P<0.05,missed code x2=36.05,P<0.05,missed code x2=36.05,P<0.05,disease does not match code x2=74.05,P<0.05,uncombined code x2=101.78,P<0.05).Conclusions The implementation of artificial intelligence ICD code audit quality control mode could realize comprehensive and real-time quality control of ICD code,and the integrity,rationality and correctness of code were greatly improved.It could significantly improve the efficiency and quality of coding quality control.
Disease diagnosis and classificationCodeLogic auditQuality controlArtificial intelligenceQuality control mode