Look for clinical data sources and data collection paths from the indicator structure, and invent data context design technology. By cleaning the original data of the "Inpatient Medical Records Home Page" and marking multi-dimensional decisions, we can build around the isolated data. A specific language environment enables the data to produce logical thinking capabilities. The data can produce complex logical judgments based on the customized language environment, thereby outputting more valuable information. As the language environment changes, the information of the data is continuously maintained. Through mining, the value of data will continue to increase, achieving the purpose of fully releasing the potential quality information in the data.

Computer software automatically collects data and automatically completes statistical analysis of indicators, making the new (CHQIS) quality evaluation indicator system practical for large-scale clinical promotion and application with the support of information technology, effectively releasing diagnostic and treatment data. For potential quality information, put the original data on the home page or/and attached pages of the medical record into the "Attribute Definition Pool" to "dye" the mark. Data carrying different quality information will show different "colors", and data with the same "color" will be extracted. Conduct statistics on quality indicators, discover quality gaps through comparison of horizontal and vertical indicators, analyze quality problems, establish a quality intervention mechanism, and achieve continuous improvement of medical quality.

This is the standard laboratory stage of this research project. Reversely defining the data sources and data paths of indicators, automatically collecting data through computer software, and automatically completing indicator statistical analysis are the main tasks of the third stage. Results. Using the CHQIS indicator system and computer-aided analysis tools, we analyzed the first page data of 650,000 medical records from five tertiary comprehensive teaching hospitals in Beijing from 2004 to 2007 and 24 hospitals in Zhongshan City, Guangdong Province (including: 2 tertiary hospitals, 2 secondary hospitals 4 hospitals and 18 first-level hospitals) from 2004 to 2007, 880,000 medical record homepage data were used to monitor and analyze the medical quality horizontally within the hospital and vertically between hospitals, and separately counted the in-hospital mortality, operative mortality, and perioperative mortality of each hospital. Indicators such as mortality, rescue failure rate, unplanned readmission rate, and return to the operating room rate are used to objectively evaluate medical quality results (including the current status and development trends of medical quality) through computer statistical analysis of indicators.

This is the standard clinical pilot stage of this research project. Through the system impact test of 1.53 million large samples of complex data, the feasibility and clinical practicability of the entire system have been fully verified. From the decision-making level of the Ministry of Health, we have comprehensively introduced, digested and absorbed new technical data of the CHQIS indicator system, carried out health policy introduction evaluation and design, carried out evidence-based research on health policies, integrated new technical essentials and transformed them into specific and operable administrative instructions, and drafted the "Hospital" Grade Evaluation Standards (2010 Edition)" (Health and Medical Administration Evaluation Letter (2009) No. 61) "Tertiary General Hospital Medical Quality Management and Control Index System (Inpatient Clinical Indicators) (2010 Edition)" (Health and Medical Administration Letter (2010) 〕No. 11) "Notice on Modifying the "Homepage of Hospital Records" (2010 Edition)" (Health and Medical Policy Letter [2010] No. XX) "Notice of the Ministry of Health on Carrying out the Pilot Work on Clinical Pathway Management" (Health and Medical Policy [2010] No. XX) 2009〕No. 116) and other government documents, officially incorporated new technologies into the medical and health industry management system, and became the administrative basis for the Ministry of Health to guide hospitals to carry out in-depth medical quality and safety management.

This is the standard clinical promotion stage of this research project. The introduction of relevant health policies and regulations will enhance the hospital's ability to continuously improve medical quality and become a direct driving force for the development of the medical industry and social progress.