معرفی
Wen-Jan Tuan is an Assistant Professor in the Department of Family and Community Medicine. His research focuses on leveraging health data analytics, telehealth technologies, and machine learning to improve healthcare delivery efficiency and equity. He specializes in opioid therapy management, population health strategies, and virtual care platform usability.
- Education: DHA from Medical University of South Carolina, MPH and MS from University of Wisconsin
- Skills: SAS programming, Oracle PL/SQL, Raspberry Pi IoT development
- Affiliations: Member of CENSAI (Center for Artificial Intelligence Foundations and Scientific Applications)
His work addresses clinician and patient responses to health IT adoption, with notable contributions to opioid pain management algorithms and primary care panel workload metrics. Collaborative efforts include developing Common Data Model frameworks for reproducible research and IoT-based connected health solutions.
Recent studies explore impacts of healthcare system changes on chronically ill patients and long-term opioid users, using predictive analytics and cohort analyses. His innovations aim to enhance care accessibility and reduce health disparities through technology.
