ABSTRACT
Quality management and control of single disease is a means to continuously improve medical quality and safety by building a set of quality control indicators and evaluation systems based on the whole process of disease diagnosis and treatment. In the actual single disease management process, the reporting of each disease involved data from various systems such as electronic medical records, and the data integration was difficult. While the traditional manual reporting method took a lot of time and the data accuracy could not be guaranteed. In the development process of hospital informatization, a hospital has designed a set of intelligent full-closed loop single disease management platform based on the hospital information system, by integrating the existing human and information data resources of the hospital. This platform integrated functions of single disease intranet reporting, in-depth capture of reporting elements, single-disease quality index management, and single-disease real-time intelligent control, in order to promote more refined and intelligent disease management and thus steadily improve medical quality and safety.
ABSTRACT
Based on the research platform constructed in the process of upgrading of the clinical scientific research sharing system,the paper optimizes the scientific research data structure,analyzes the problem of the original data quality,optimizes the original storage mode,and establishes a new data quality control system,so as to connect the clinical scientific research sharing system with the future development orientation of the medical big data era and precision medicine.
ABSTRACT
Collection and quality control of inpatient medical record home page information are key to the study and use of DRGs.The paper covered the sampling methods, inspection items, inspection methods, data assembly methods, and data reporting quality scoring methods of Beijing authorities on the hospitals in the city.Also introduced were the inspection results of the city in 2014, which prove a satisfactory outcome in the end.
ABSTRACT
The data production and management processes were described and the factors influencing the data pro-cessing quality were analyzed with CMCC/CMCI as an example, and measures were put forward for improving the data production and management-the key to database development.
ABSTRACT
Data quality issues of TCM structured data warehouse system is very important.This paper analyzed the data quality issues from the data repository to the data extraction,cleansing,transformation,loading (ETL) into the data warehouse process and established the principle of corresponding control,and researched improving data quality measures to ensure the success of data warehouse and right decision support.