Tom is a senior research fellow in the School of Public Health, Imperial College London, and co-leads the Information and Intelligence theme of the NIHR Applied Research Collaboration (ARC) Northwest London. Tom has first-hand experience working on 70 multidisciplinary healthcare research and improvement projects. His research interests lie in population health improvement, evaluation of complex interventions, and fostering good measurement in improvement work. Tom uses statistical and data science methods to capture learning from large datasets, informing improvement in health and care services. His PhD is in mathematics, and he still enjoys applying mathematical thinking to healthcare improvement.
Tom leads Quality Improvement in Healthcare modules on both the Master of Public Health and Global Master of Public Health programmes.
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et al., 2023, Effect of implementing a heart failure admission care bundle on hospital readmission and mortality rates: interrupted time series study, Bmj Quality & Safety, ISSN:2044-5423
et al., 2023, Identifying potential biases in code sequences in primary care electronic healthcare records: a retrospective cohort study of the determinants of code frequency, Bmj Open, Vol:13, ISSN:2044-6055
et al., 2023, Patient outcomes following emergency admission to hospital for COVID-19 compared with influenza: retrospective cohort study, Thorax, Vol:78, ISSN:0040-6376, Pages:706-712
et al., 2023, Health and socio-demographic characteristics associated with uptake of seasonal influenza vaccination amongst pregnant women: retrospective cohort study, British Journal of General Practice, Vol:73, ISSN:0960-1643, Pages:e148-e155
Marang-van de Mheen PJ, Woodcock T, 2023, Grand rounds in methodology: four critical decision points in statistical process control evaluations of quality improvement initiatives, Bmj Quality & Safety, Vol:32, ISSN:2044-5415, Pages:47-54