AI平台联合病案质量管理系统在医疗质量改进中的作用OA

Objective To explore the application value of an integrated medical record quality manage-ment system based on an Artificial Intelligence(AI)platform in medical quality management,and to analyze its effect on monitoring environment-related diseases(e.g.,occupational diseases,asthma,and COPD).Methods A historical control study was conducted using medical record data of The First Hospital of Ninghai County from January 2022 to June 2024.Taking the official launch of the AI platform in January 2023 as the cut-off point,a comparison was made of the changes in medical record quality,medical quality indicators,and management effi-ciency before and after implementation.Propensity score matching(PSM)was used to balance intergroup differ-ences,and a multi-dimensional evaluation index system was constructed to primarily assess the role of the AI plat-form in the quality improvement of medical records for environment-related diseases.Results After PSM,the in-formation completeness rate increased from 85.2％to 96.8％(P＜0.001),and coding accuracy increased from 89.5％to 97.3％(P＜0.001).The comprehensive quality score improved from 82.4 to 94.1(Cohen's d=2.04).For environment-related diseases,the completeness rate of exposure history records rose from 62.1％to 89.3％,and identification accuracy of occupational diseases increased from 71.4％to 91.8％.Additionally,the average length of stay decreased by 1.3 days,and archiving time was shortened by 65.3％.Multiple regression a-nalysis results confirmed that application of AI platform was the primary independent predictor for quality improve-ment.Conclusions The AI-based system effectively improves medical record quality and management efficiency,playing a crucial role in the monitoring and identification of environment-related diseases and supporting modern medical quality management.