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
Case ascertainment of a potential centrally-implemented, automated system for national surveillance of healthcare-associated infections, England, 2016 to 2023.
Journal article
Cregan J. et al, (2025), Euro Surveill, 30
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, 161, 10 - 12
Timeliness of a potential automated system for national surveillance of healthcare-associated infections in England
Preprint
Quan TP. et al, (2025)
An Electronic Health Record-Wide Association Study to identify populations at increased risk ofE. colibloodstream infections
Preprint
Pritchard E. et al, (2025)
The effect of population selection criteria on model estimates and data missingness in electronic health record studies
Preprint
Pritchard E. et al, (2025)