Imperial College London

Dr Thomas Woodcock

Faculty of MedicineSchool of Public Health

Senior Research Fellow
 
 
 
//

Contact

 

+44 (0)20 7594 1838thomas.woodcock99

 
 
//

Location

 

328Reynolds BuildingCharing Cross Campus

//

Summary

 

Summary

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. 

Follow Tom on twitter here.

Publications

Journals

Beaney T, Clarke J, Salman D, et al., 2024, Assigning disease clusters to people: a cohort study of the implications for understanding health outcomes in people with Multiple Long-Term Conditions, Journal of Multimorbidity and Comorbidity

Beaney T, Clarke J, Woodcock T, et al., 2024, Effect of timeframes to define long term conditions and sociodemographic factors on prevalence of multimorbidity using disease code frequency in primary care electronic health records: retrospective study, Bmj Medicine, Vol:3, ISSN:2754-0413

Dewa L, Thibaut B, Pattison N, et al., 2024, Treating insomnia in people who are incarcerated: a feasibility study of a multi-component treatment pathway, Sleep Advances, ISSN:2632-5012

Woodcock T, Matthew D, Palladino R, 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, Vol:33, ISSN:2044-5423, Pages:55-65

Beaney T, Clarke J, Salman D, 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

More Publications