Yu-Kai Lin
Assistant Professor Computer Information Systems- Education
- Ph.D., University of Arizona
- MBA, National Tsing Hua University
- Specializations
- unstructured data analytics
- business analytics and intelligence
- health information technology
- digital innovation
- Biography
Dr. Lin received his Ph.D. in Management Information Systems from the Eller College of Management at the University of Arizona. His research and teaching interests involve data analytics with structured and unstructured data. His current research projects have focused on two areas: (1) examining the clinical and economic impacts of health IT and (2) developing data analytics approaches to improve the quality, safety, and efficiency of care. In addition to health IT and analytics, he also investigates issues related to digital innovation and transformation, including IT entrepreneurship, open innovation, patenting, and crowdfunding. His work has been published in MIS Quarterly, Information Systems Research, Journal of Biomedical Informatics, and IEEE Intelligent Systems.
- Publications
- Lin, Y.-K., Lin, M., and Chen, H. 2019. “Do Electronic Health Records Affect Quality of Care? Evidence from the HITECH Act,” Information Systems Research (30:1), pp. 306–318.
- Yu-Kai Lin, Hsinchun Chen, Randall Brown, and Shu-Hsing Li. (2017) “Healthcare Predictive Analytics for Risk Profiling in Chronic Care: A Bayesian Multitask Learning Approach,” MIS Quarterly (41:2), pp. 473–495.
- Yu-Kai Lin, Hsinchun Chen, Randall A Brown, Shu-Hsing Li, and Hung-Jen Yang. (2014) “Time-to-Event Predictive Modeling for Chronic Conditions Using Electronic Health Records,” IEEE Intelligent Systems (29:3), pp. 14–20.
- Yu-Kai Lin, Hsinchun Chen, and Randall A. Brown. (2013) “MedTime: A Temporal Information Extraction System for Clinical Narratives,” Journal of Biomedical Informatics (46, Supplement).
- Yu-Kai Lin, Randall A. Brown, Hung Jen Yang, Shu-Hsing Li, Hsin-Min Lu, and Hsinchun Chen. (2011) “Data Mining Large-Scale Electronic Health Records for Clinical Support,” IEEE Intelligent Systems (26:5).