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Dr. Quan has received training in medicine, public health, epidemiology, and health services research. A major theme of Dr. Quan’s research is to develop novel methods for analyzing big data and improving its quality to enable its optimal use for health research, precision medicine, disease surveillance, and healthcare system performance assessment. The methods could advance population and health services research in quality of care and disease surveillance for policy-makers and health care providers.
Dr. Quan is a leader in health services research methodology. He is leading an international research group of health information – the International Methodology Consortium for Coded Health Information (http://www.imecchi.org), an international collaboration of health services researchers who aim to improve methodological development and use of coded health information to promote the quality of care and quality health policy decisions. Dr. Quan has published over 250 papers in peer-reviewed journals; in 2014 and 2015, Thomson Reuters listed him as one of the world’s most highly cited researchers.
Research Interests: health services research methods; chronic disease surveillance and outcomes; health services utilization; outcomes among ethnic populations