Solution Architecture

The smart medical quality-control center mainly realizes a 131N overall architecture, i.e., 1 monitoring center, 3 core platforms, 1 data center, and N unit accesses.

“1” monitoring center. Visual real-time monitoring of quality-control networks, diseases, medical treatment, key diseases, and other status.

“3” core platforms, mainly including a quality-control network platform, a disease quality-control platform, and a treatment-outcome evaluation platform.

The quality-control network platform realizes five major functions.

1) Hierarchical-relationship presentation. Medical units that join the alliance can be presented in detail by hierarchical relationships of national centers, provincial centers, municipal, and other medical institutions, showing network relationships at each layer.

2) Hospital basic-information presentation, showing counts and distribution of medical institutions in each province (city) on a map.

3) Present each hospital’s important indicators, such as reported case counts, disease types, and treatment-process indicators.

4) Hospital-status warning: automatically warn when hospital reported-data changes exceed thresholds.

5) Site-selection assessment, providing reference for new-hospital site selection.

The disease-analysis platform realizes three major functions.

1) One-hour emergency circle. Calculate each medical institution’s one-hour emergency-circle range in different time periods based on hospital medical capability, medical resources, surrounding population, traffic conditions, and other factors.

2) Disease KPI indicators. Key disease-treatment indicators such as mortality, composite indicators, and national averages of other key indicators used to calculate composites, plus corresponding provincial and city averages; perform pattern analysis and trend prediction based on KPI indicators.

3) Key-disease analysis. Analyze important indicators of important systemic diseases and intuitively present medical-quality information of various diseases.

The treatment-outcome evaluation platform realizes three major functions.

1) Disease treatment-outcome indicator analysis. Based on hospital-reported data, present various treatment-outcome indicators by disease, hospital, and other dimensions, and generate each hospital’s quality report from various indicators.

2) Cross-region visit-outcome analysis. Analyze inflow and outflow counts of key diseases by province (city), use this as a basis to judge medical level of various diseases in different provinces (cities), and use GIS maps and Sankey diagrams to present distribution patterns of patients’ cross-region visits from different visual angles.

3) Key-disease outcome analysis. Analyze quality-report data of key diseases and intuitively present various core indicator values in visual reports.

“1” data center, realizing comprehensive data governance, data integration, data synthesis, intelligent data analysis, and other functions.

“N” unit accesses. Based on the XData platform, access data from “N” medical institutions.