Contact information
Phuong Quan
BSc, MSc
DPhil Student
Phuong is a part-time DPhil student based at the Big Data Institute.
She is investigating whether unsupervised and semi-supervised computational methods can be used on electronic health records to identify and understand temporal change-points, in particular whether they can help to distinguish between artefacts caused by e.g. changes in data collection methods versus real epidemiological trends.
She also currently works as a Medical Statistician in the Nuffield Department of Medicine, which she joined in 2012.
Phuong has a BSc in Mathematics from Warwick University, an MSc in Applied Statistics from Oxford University, and worked for several years as a software developer before joining academia.
Recent publications
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Case ascertainment of a potential centrally-implemented, automated system for national surveillance of healthcare-associated infections in England 2016-2023
Journal article
Cregan J. et al, (2025), Eurosurveillance
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An Electronic Health Record-Wide Association Study to identify populations at increased risk ofE. colibloodstream infections
Preprint
Pritchard E. et al, (2025)
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Timeliness of a potential automated system for national surveillance of healthcare-associated infections in England.
Journal article
Quan TP. et al, (2025), J Hosp Infect
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Timeliness of a potential automated system for national surveillance of healthcare-associated infections in England
Preprint
Quan TP. et al, (2025)
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The effect of population selection criteria on model estimates and data missingness in electronic health record studies
Preprint
Pritchard E. et al, (2025)