.jpg "Yi-Hsin Yang, PhD photo")
Investigator
National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan, Taiwan (Republic of China)
Professor Yi-Hsin Yang, also known as Connie Yang, is a biostatistician by training. She has been actively involved in real-world data (RWD)/ real-world evidence (RWE) development on comparative effectiveness research. She has implemented a common data model (CDM) system for the National Biobank Consortium of Taiwan (NBCT) program with integration of hospital-based health care data to serve the needs of precision health research. Professor Yang is also currently in charge of the “Gateway to Health Data & Data Governance” program with a mission to provide a portal for connecting data users to data providers in Taiwan (GHD TW, https://www.ghd.tw).
Professor Yang has worked in the field of oral oncology and oral public health since 1996 as a faculty in the College of Dental Medicine, Kaohsiung Medical University. She conducted several population-based surveys on betel quid usage and prevalence of oral cancer/oral potentially malignant disorders (OPMD), including the first report for OPMD prevalence of Taiwan indigenous communities. Because of her active participation in international societies, she has the privilege of collaborating with prestigious scholars, and been invited to international conferences to speak on oral cancer/ OPMD burden and possible intervention for the South-East Asia region and Taiwan.
She joined the faculty of College of Pharmacy in August 2011, and has been actively involved in the field of pharmacoepidemiology. Her research has focused on health-related database analysis. She published several articles in chemoprevention agents for cancers as well as comparative effectiveness on cancer treatment.
Since her NHRI appointment in 2019, her focus includes analysis methodology and clinical research using health database. While maximize data impact has become an important theme of current precision health, she has collaborated with multi-disciplinary experts to establish infrastructures in promoting fit-for-purpose data elements, facilitating data interoperability and data quality.