Practice of Data-supported Intelligent and Refined Management in Outpatient Quality
Objective:To explore the practical effect of intelligent and refined management of outpatient quality supported by data.Method:A standard system for outpatient quality control was established through analyzing the characteristics of outpatient quality control and conducting research on the current situation of outpatient quality control in 3a hospitals in Chongqing.By constructing a data+quality control platform with convenient front-end operation and intelligent back-end management,intelligent and refined management of outpatient quality control was achieved.Result:Through the practical application of intelligent and refined management of outpatient quality supported by data,outpatient quality management indicators such as visit efficiency,waiting time,on-time treatment,document qualification rate,satisfaction,and effective complaints have been improved and optimized.Conclusion:The intelligent and refined management of outpatient quality supported by data has achieved the scientific,standardized,and efficient control of outpatient quality,promoted the improvement of various medical and nursing work quality in outpatient clinics,and effectively improved the efficiency of outpatient quality control management.
outpatient departmentquality control standardintelligence and refinement
NETL
NSTL
万方数据
