Administrative Data Analysis Methodology, very other year, Jan -April 2020
Research and teaching
- Heath Services Research Methods
- Data Science
- Chronic Disease Surveillance and Outcomes
Dr. Hude Quan is a Professor and Director of Centre for Health Informatics and the World Health Organization Collaborating Centre in Classification, Terminology and Standards at Cumming School of Medicine. Dr. Quan is co-Lead for Alberta’s Strategies for Patient Oriented Research SUPPORT Unit Data and Research Services Platform and Astra-Zeneca and Chiu Family Chair in Cardiovascular Health Promotion and Disease Prevention.
Dr. Quan’s research is aiming to optimize the use of health data from multiple sources by developing novel data science methods to advance precision medicine and precision public health. Since 1993, Dr. Quan has focused his research program on improving data science methodology to overcome the challenges that are faced in using health data for research. Dr. Quan has developed methods, built networks, and translated knowledge to provide solutions to users for analyzing data. Dr. Quan’s methods are used internationally. For three consecutive years (2014-2016), Dr. Quan was listed by Thomson Reuters as one of the world’s most highly cited researchers (top 1 per cent in his discipline).
Killam Annual Professor Award, University of Calgary, 2019
Dr. Harold N. Segal Award of Merit, Canadian Cardiovascular Society (CCS), 2017
Hypertension Canada Senior Investigator Award, Hypertension Canada, 2017
Great Supervisor Award, Faculty of Graduate Studies, University of Calgary, 2016
Fellow, Canadian Academy of Health Sciences, 2016
Hadassah Ksienski Lifetime Achievement Award 2016, Immigrant Services Calgary, 2016)