Wei-Chun is a clinical informatics Ph.D. student in the Department of Medical Informatics and Clinical Epidemiology at OHSU. He received his MD degree, with a double major in Traditional Chinese Medicine at Chang Gung University in Taiwan, and got a master degree in biomedical engineering from Carnegie Mellon University in Pittsburgh, PA. He worked as a research associate in a clinical research team at the University of Pittsburgh for two years. His current projects related to secondary use of EHR data with machine learning algorithms to improve clinic workflow efficiency. He is also Interested in progression prediction and risk assessment of glaucoma using machine learning algorithms.
Ph.D., Clinical Informatics, Oregon Health & Science University, 2021 (expected)
MS, Biomedical Engineering, Carnegie Mellon University, 2014
MD, with double major in TCM, Chang Gung University, 2009.Read more
1. Lin, W. C., Goldstein, I. H., Hribar, M. R., Huang, A., & Chiang, M. F. (2018). Secondary Use of Electronic Health Record Data for Prediction of Outpatient Visit Length in Ophthalmology Clinics. In AMIA Annual Symposium Proceedings (Vol. 2018, p. 1387). American Medical Informatics Association.
2. Lin, W. C., Burke, L., Schlenk, E. A., & Yeh, C. H. (2018). Use of an Ecological Momentary Assessment Application to Assess the Effects of Auricular Point Acupressure for Chronic Low Back Pain. Computers, informatics, nursing: CIN.
3. Lin, W. C., Yeh, C. H., Chien, L. C., Morone, N. E., Glick, R. M., & Albers, K. M. (2015). The anti-inflammatory actions of auricular point acupressure for chronic low back pain. Evidence-Based Complementary and Alternative Medicine, 2015.