THIẾP LẬP BẢNG ĐIỀU KHIỂN KẾT HỢP CỦA BỘ CHỈ SỐ CHẤT LƯỢNG CỐT LÕI MỖI TUẦN BẰNG NGÔN NGỮ R

Abstract

Introduction: Quality indicator is an essential methodology for quality measurements and its suitable presentation format supplies hospital managers more information for making decisions. Method: Existing data on process supervision and outcome measurements were standardized and transformed to panel format which were then utilizied to develop a compact dashboard based on R language (packages were used: flexdashboard, knitr, tidyverse, readxl, reshape2, lubridate, qicharts2, qcc, ggQC, gridExtra, plotly, DT) and .html layout for releasing easily. Users were asked for their needs and comments to revise the design, and guarantee that the dashboard was user-friendly, supplied enough necessary information, allowed for tracing the origin of problems and searching information easily. Results: Contents of the dashboard included a summary of weekly and current year’s indicators, weekly indicator control charts by groups accompanied with the last year’s one. Pareto diagram indicated most non-compliance steps and negative feedback events, grid-plotting analysis by departments and procedures for benchmarking. A weekly summary data table of compliance proportion by departments and procedures with searching option helped users accessing information rapidly. Two surveys were deployed during designing and developing dashboard period
that had the result of more than 75% user-accepted. Conclusion: The compact dashboard not only helps hospital managers easily capture the overview of service qualities but also supply enough information for every department to make decisions for
quality improvement.