In December 2018, Chinese Renal Disease Data System was established by National Clinical Research Center For Kidney Disease and the National Center for Chronic and Noncommunicable Disease Control and Prevention, China CDC. Academician Hou Fanfan served as the chief scientist to jointly establish a national medical and health big data platform.

To develop various innovative applications of tumor big data in clinical quality control, early screening and high-risk risk assessment, disease diagnosis and treatment, prognosis evaluation, out-of-hospital follow-up and management, and comprehensive government decision-making based on big data resources and big data technology around the National Tumor Data Centre. This will enable early or ultra-early cancer screening, assessment of the efficacy of radiotherapy, prediction of the efficacy of targeted drugs, monitoring of early post-operative recurrence, etc.

This will enhance the scientific research level of tumor diseases in medical institutions nationwide, improve the quality and level of treatment of tumor diseases, reduce the incidence of tumors, improve the cure rate of key malignant tumors, decrease the five-year survival rate of key cancers, alleviate the economic burden of patients and save government economic expenditure. 

To build a national medical and health big data platform which brings high quality and massive medical data together to provide scientific decision support for chronic kidney disease prevention and treatment strategies as well as models of diagnosis and treatment.

-- Provide integrated services such as data cleansing, data desensitization, data structuring, terminology standardization and data quality control for medical data from various sources, including HIS, LIS, EMR, etc.

-- Establish big data platform management and data security specifications, and create a hierarchical system of open data access rights

-- Set up a public data analysis platform to ensure data security, de-privatisation, accuracy and accessibility.

The National Cancer Data Centre integrates clinical data resources of cancer patients nationwide, including electronic medical records, imaging data, test data, histology data, follow-up data, biological sample data, literature data and other kinds of data resources.

-- Reflect the epidemiological characteristics of chronic kidney disease and the dynamic changes in the health status of the population in China.

-- Promote research on the prevention and treatment of chronic kidney disease in China, and innovation in artificial intelligence-assisted diagnosis and treatment.

-- Apply real-world data to reflect medical practice and support clinical evaluation of drugs.

Tumor Data Centre

Establish a tumor big data center and big data management platform, integrate clinical data resources of tumor patients from various medical institutions nationwide, and form a tumor big data center resource pool covering tumor patients nationwide, which includes five major data resource pools of clinical database, single disease database, business application database, scientific research database and basic function database with closed-loop design.

Establish a tumor big data management platform to manage and share and develop and utilize tumor big data resources, provide basic support services for business applications based on tumor big data, and supply data services, scientific research services and clinical diagnosis and treatment services for various medical institutions.

Three Major Applications of Tumor Big Data

The application system based on tumor big data for different objects mainly includes three major categories, which are clinical diagnosis and treatment service application, research service application and clinical management application.

The National Cardiovascular Big Data Platform is a collaborative cardiovascular big data research project initiated by the China Cardiovascular Health Alliance under the auspices of the China Health Information and Healthcare Big Data Society. Through the construction of a nationwide collaborative cardiovascular clinical research network and advanced information technology data processing tools, the platform effectively utilizes larger population data for big data analysis, thus generating conclusions and recommendations with clear guidance to further build a comprehensive clinical decision support system in the cardiovascular field.

Adopting a big data network model for research support, the cardiovascular clinical research platform has been fully rolled out in the cardiology departments of the pilot hospitals, building a clinical decision support system based on existing authoritative guidelines and consensus and artificial intelligence technologies.

- Helping hospital cardiology departments with information technology construction, providing one-stop data query and clinical research analysis support, and facilitating high-level research collaboration.

- Improving the overall quality of cardiovascular healthcare services by enhancing the ability of hospitals at all levels to standardize the treatment of patients with cardiovascular disease.

- Improving the ability to manage the post-discharge follow-up of patients with cardiovascular disease.

iHeart project selected as "2020 Big Data Industry Development Pilot Demonstration Project" by the Ministry of Industry and Information Technology

iHeart project was awarded "2019 China Health Care Outstanding Achievement" by China Health Information and Health Care Big Data Society

-- Successful and experienced implementation of the project, contributing to multi-centre collaboration in the field of healthcare big data in China.

-- International innovations in technical framework, implementation pathways and data protection and sharing.

-- High level of support and input from CCA.

-- Endorsed by the Ministry of Industry and Information Technology and relevant academic institutions.

-- Associated with cardiologists from 30 hospitals in China and relevant thematic research.