Programme(s) to which this project applies:
|☑ MPhil/PhD||☑ MRes[Med]||☒ URIS|
This research project provides students with the ample opportunity to acquire research expertise and knowledge in health and health service research for patients with non-communicable diseases using big data. Over 10 million patients from the electronic health record in Hong Kong and the United Kingdom are available. The students will have an opportunity to work with specialists in family medicine, other health professionals such as nurses and pharmacists, epidemiologist and medical statisticians etc. The students will also have chance to involve various studies that might be published in the international journals. The training in advanced programming (R and Stata), literature review and research writing will be provided. The research attachment emphasizes on experiential learning and guided independent research on a topic to be agreed upon between the students and supervisor. We welcome any new research questions from the students. The current potential research topics include (i) prediction of hospital readmission in patients with chronic diseases including diabetes or hypertension; (ii) the optimal intervals for monitoring laboratory biomarkers in patients with diabetes and hypertension; and (iii) the trajectory of various laboratory biomarkers in patients with diabetes and hypertension
Selected students’ publications
Dr EYF Wan, Department of Family Medicine and Primary Care
Dr Eric Wan is an experienced epidemiologist and medical statistician in health and health service research related to non-communicable disease using big data cohort study. He has published more than 150 articles in peer-reviewed international journal, in particular the evaluation of effectiveness and cost-effectiveness of various health interventions and services, and epidemiology and pharmacoepidemiology in hypertension, diabetes and multi-morbidity.
For more information or to express interest for this project, please email the supervisor or the specified contact point in the project description. Interested candidates are advised to enclose with your email:
Information on the research programme, funding support and admission documentations could be referenced online at the Research Postgraduate Admissions website. General admission enquiries should be directed to email@example.com.
HKUMed MBBS students interested in the Master of Research in Medicine (MRes[Med]) programme may visit the programme website for more information.
HKUMed UG students interested in the Undergraduate Research Internship Scheme (URIS) may visit the scheme’s website for more information.