Center for Learning Health System (CLHS)
Overview
The Center for Learning Health System (CLHS) of National Institute of Health Data Science at Peking University, is a first-in-the-nation research center focusing on the research and implementation of LHS through the meaningful use of big data in health care. CLHS’ objective is to improve health care quality and patient outcome by developing a reproducible and effective health data based LHS.
Our Research
LHSs are generally run by professional communities of interest at local, regional, and national level. The communities running LHS efforts commonly leverage the power of real-world big data. The goals of LHSs include accelerating the process of knowledge discovery by seamless data analysis, accelerating the process of translating new knowledge into clinical practice, and demonstrating the improved outcome as the result of accelerated analytic and knowledge translation processes. Under ideal circumstances, these processes shall reach near real-time.
The idea of improving health care quality through learning from data is innovative for Chinese medical researchers and health care providers. CLHS initiated a LHS project - Peking university learning health system for better life (PEARL). The PEARL project aims to build the first pilot LHS in China, with chronic kidney disease selected as the initial disease area for the project.
Our People
Our team members have multi-disciplinary background, including public health, epidemiology, statistics, computer science, decision science, and clinical medicine. Our team consists of full-time faculty members and adjunct researchers from School of Public Health, School of Electronics Engineering and Computer Science, School of Mathematics, teaching hospitals affiliated to Peking University and other research institutions outside Peking University.
Leadership
Professor Luxia Zhang is the director of the center. She earned her Medical Doctorate from Peking University and her Master's degree in Public Health from Harvard School of Public Health. She is currently the Assistant Dean of the National Institute of Health Data Science at Peking University, the Executive Deputy Director of the Center for Data Science in Health and Medicine at Peking University, and a physician of Nephrology at Peking University First Hospital. Her main research interests focusing on utilizing big data in health care to study disease trend, disease burden, prevention and the control of chronic diseases in China.
