This project will develop an AI-based diagnostic model based on Dynamic Uncertain Causality Graphs to improve the efficiency of differential diagnosis of common diseases by primary care physicians.
This project will advocate for a national, standardized synoptic/structured pathology reporting system, which could have significant implications for improving the quality of cancer care.
This project will establish a database of dyslipidemia in Chinese patients with early breast cancer and identify the gap between the real-world status and dyslipidemia management consensus.
This project will investigate risk factors for nosocomial infections during the treatment of COVID-19 in ICU and establish an early warning system for COVID-19 infection use machine learning.
This project aims to develop the first algorithm for population-based prediction of gestational diabetes mellitus tailored for pregnant women in China.
This project will assess the impact and the cost-effectiveness of innovative advocacy interventions on increasing influenza vaccination coverage in elementary schools in Beijing.
This project will develop a toolkit of goals-of-care discussion and standardized documentation in electronic medical record to improve availability and quality of care for critically ill patients.
This project aims to minimize the adverse impact of the COVID-19 pandemic on the quality of STEMI care by optimizing the implementation of QI initiatives using a multidisciplinary approach.
This project aims to improve adherence to antipsychotic treatment and to reduce hospital readmissions, to reduce schizophrenic symptoms and improve life quality, as well as to assess the cost-effectiveness of CR interventions.
