Dr. Raymond Kuo's primary research interests focus on health insurance and health policy, especially payment systems, and on the factors that drive differences in health care quality and efficiency. I also specialize in Risk Adjustment methods for comparing differences in provider outcomes. Some of my work also examines Smart Health Care, including telemedicine, NHI MediCloud applications, and economic evaluations of innovative medical technologies.

Dr. Kuo's laboratory operates as a 'dry lab,' focusing on data analysis rather than hands-on experimentation with advanced machinery or equipment. Our work significantly involves utilizing large-scale health insurance claims data, supplemented by primary data collected via surveys or other methodologies.

It is important to note that access to Taiwan's National Health Insurance Data or other large data sources collected by government agencies is restricted to native students. So, the applicant's research would be better grounded on data procured within the home country, as this would be a more viable approach. The alternative would be to use data from international studies.

Please contact Dr. Kuo before submitting your application and provide the following information for better evaluation and organizing the activities:

1. Are you familiar with using software, except Microsoft Excel, for data analysis? Such as R or SPSS.

2. Have you ever taken courses covering statistics or data analysis?

3. Will your project outcomes be counted/ incorporated as your learning achievement by your current undergraduate/graduate program?

4. Besides the technical part of your interest in analyzing real-world data, do you have any specific ideas or research questions to which you expect to find the answers through data analysis?