Impact of improving the quality of medical coding on comprehensive evaluation of DRG performance on the home page of medical records

Abstract

Objective: To explore the effect of improving the quality of medical coding on the comprehensive performance evaluation of disease diagnosis related groups (DRGs) on the first page of medical records. Methods: The defect details of disease diagnosis coding and DRG specific indicators on the first page of hospital medical records were collected and analyzed. The number of defects between 2019 and 2020 was compared by using test or Fisher’s exact test, and technique for order preference by similarity to ideal solution (TOPSIS) method was used to rank the comprehensive evaluation indexes of hospital DRG performance in the same period. Results: The number of defects on discharged medical records in 2020 (20
cases, 0.033%) was significantly lower than that in 2019 (406 cases, 0.603%), and the difference was statistically significant (P < 0.001). From the evaluation results of TOPSIS method, the hospital’s corresponding period value increased from 0.488 to 0.512, and the comprehensive DRGs performance of the hospital kept improving, which was consistent with the quality improvement trend of the hospital’s medical record home page. Conclusion: The effective quality improvement of filling in the disease diagnosis coding on the first page of medical records lays a solid foundation for the comprehensive performance evaluation of DRGs and the improvement of medical quality.