Welcome to the Xu Lab!

Population aging is a major challenge faced by the U.S. health system, with many older adults, especially those with dementia, requiring long term care. To conquer this challenge, Xu Lab applies advanced statistical methods and state-of-the-art machine learning to examine the staffing, quality, disparities, and policies in nursing homes. Our lab is also interested in using AI to improve the methodology and eventually to improve the population health.

Under the leadership of Dr. Huiwen Xu, our lab has published 60+ high quality peer-reviewed articles in leading medical and policy journals such as The Lancet, JAMA Internal Medicine, JAMA Oncology, Journal of Clinical Oncology, JAMA Network Open, JAGS, JAMDA, Health Affairs, Health Services Research, and Medical Care, as well as 2 book chapters and 90+ scientific abstracts. We have established close collaborations with leading universities in the U.S. and beyond. 

If you share research interest with us, please do not hesitate to reach out.

Research Interests

Aging, Artificial Intelligence, Nursing Home, HSR, Health Disparities, Health Policy

Data Sources

Medicare claims,  SEER-Medicare, Nursing home Minimum Data set, CAPSER/OSCAR, Nursing Home Compare, LTCFocUS.org, Medicare Cost Reports, Payroll Based Journal.

Websites

UTMB; ResearchExpert; Twitter; Linkedin; Google Scholar; ResearchGate