Biography
Wen worked on environmental and occupational health evaluation for Shanghai Centre for Disease Control and Prevention after obtaining bachelor’s degree in Preventive Medicine from Fudan University in China. She was awarded master’s degree in data science for Research in Health and Biomedicine by University College London and continued her PhD study in Health Informatics at University of St Andrews. Her doctoral project focused on how to use machine learning methods to improve clinical trial recruitment through electronic health records. Her postdoc work was mainly on studying multimorbidity in the Scottish population in a multidisciplinary team at St Andrews. She joined Prof Angela Wood's research group in Cambridge in Feb 2023 and have been mainly working with population wide healthcare data in England to study the long-term impact of COVID-19 in children and how COVID-19 affects the burden of a wide range of cardiovascular diseases and their relationship with diabetes.
Research
Wen’s research interests lie in various analytical methods applied in health data research. The topics that she is interested in range from multimorbidity, cardiovascular diseases to trial patient recruitment, healthcare service evaluation.
Publications
Moffat, K. R., Shi, W., Cannon, P., et al. Factors associated with recruitment to randomised controlled trials in general practice: a systematic mixed studies review. Trials volume 24, Article number: 90 (2023)
Shi, W., Vasishta, S., Dow, L., et al. Early experience with an opt-in research register - Scottish Health Research Register (SHARE): a multi-method evaluation of participant recruitment performance. BMC Medical Research Methodology (2021) 21:286.
Shi, W., Moffat, K.R., Kelsey T., et al. A systematic review of the application of machine learning methods for patient recruitment through electronic health records. JMIR preprint. 10.2196/preprints.30140.
Shi, W., Kelsey, T. & Sullivan, F. Efficient identification of patients eligible for clinical studies using case-based reasoning on Scottish Health Research register (SHARE). BMC Med Inform Decis Mak 20, 70 (2020).
Moffat, K.R., Cannon, P., Shi, W., et al. Factors associated with recruitment to randomised controlled trials in general practice: protocol for a systematic review. Trials 20, 266 (2019).
Shi W., Tang Y., Zheng Y.M., et al. The occupational disease risk analysis based on hazard monitoring results from 14 mechanical manufacturers in Shanghai. Shanghai Journal of Preventive Medicine 2015, v.27(01) 38-40.